Survey methodology for the uninitiated

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Survey methodology for the uninitiated

Research using self-developed questionnaires is a popular study design in family practice and is frequently used for gathering data on knowledge, beliefs, attitudes, and behaviors. A Medline literature search from 1966 to 2000 identified 53,101 articles related to questionnaires, of which 2088 were directly related to family practice. Despite the large number of questionnaire-related articles, however, only 2 in the general medical literature1,2 and 1 in the family practice literature3 were directly related to research methodology.

To obtain guidance on survey research methodology, novice family practice researchers often must go through volumes of information by specialists in other disciplines. For example, a search of a psychology database (PsychInfo)4 from 1966 to 2000 produced 45 articles about questionnaire methodology. The goal of this article is to synthesize pertinent survey research methodology tenets-from other disciplines as well as from family practice-in a manner that is meaningful to novice family practice researchers as well as to research consumers. This article is not aimed at answering all questions, but rather is meant to serve as a general guideline for those with little formal research training who seek guidance in developing and administering questionnaires.

Avoiding common pitfalls in survey research

Although constructing a questionnaire is not exceedingly complex, simple mistakes can be avoided by following some basic rules and guidelines. The Figure is a checklist for conducting a survey research project that combines guidelines and suggestions from published survey research literature,5-9 and the cumulative experience of the authors. Two of the authors (M.J.D. and K.C.O.) are experienced survey researchers who have published, in peer-reviewed journals, numerous studies that used questionnaires.10-19 One of the authors (MJD) has been teaching research to residents and junior faculty for over a decade, and has been an advisor on scores of resident, student, and faculty research projects. The perspective of the novice researcher is represented by 1 author (C.R.W.).

Getting started

The “quick and dirty” approach is perhaps the most common pitfall in survey research. Because of the ease of administration and the relatively low cost of survey research, questionnaires can be developed and administered quickly. The researcher, however, should be sure to consider whether or not a survey is the most appropriate method to answer a research question. Adequate time must be given to thoroughly searching the relevant literature, developing and focusing on an appropriate research question, and defining the target population for the study (see Figure A, Getting Started). Large, multisite surveys are more likely to be generalizeable and to be published in peer-reviewed journals.

One way to avoid undertaking a project too rapidly and giving inadequate attention to the survey research process is for novice researchers to avoid independent research. Those with little or no experience must realize that researchers in both family practice and other fields perform research in teams, with the various participants bringing specific skills to the process.20 Oversights, mistakes, and biases in the design of questionnaires can always occur, whether a researcher is working independently or as a member of a team. It seems reasonable to assume, however, that significant problems are much less likely to occur when a multidisciplinary team approach is involved rather than an individual researcher undertaking a study independently.

Ideally, a research team should include a statistician, a professional with experience in the content areas of the study, and a senior investigator.21 The desirable area of expertise, however, is often not readily available to family physicians, especially those in community-based settings. Individuals with some training in research who are interested in being involved can usually be found in colleges and universities, hospitals, and at the local public health department. Psychologists, sociologists, health services researchers, public health epidemiologists, and nursing educators are all potential resources and possible collaborators. Establishing the necessary relationships to form an ad hoc research team is certainly more time and labor intensive than undertaking research independently, but generally results in the collection of more useful information.

Novices should consult survey methodology books before and during the study.5-9 Excellent resources are available that provide a comprehensive overview of survey methods,22 means for improving response rates,23 and methods for constructing relatively brief but thorough survey questions.5 Academic family practice fellowships often provide training in survey methodology. In addition, many family practice researchers respond favorably to requests for information or advice requested by telephone or email contact. The novice author of this article reports excellent success in contacting experts in this manner. With the advent of the Internet, a “cyberspace” team comprised of experts in the topic and the methodology is a reasonable and helpful option for the novice.

 

 

Survey content and structure

Novice researchers often assume that developing a questionnaire is an intuitive process attainable by virtually anyone, regardless of their level of research training. While it is true that questionnaires are relatively simple to construct, developing an instrument that is valid and reliable is not intuitive. An instrument is valid if it actually measures what we think it is measuring, and it is reliable if it measures the phenomenon consistently in repeated applications.24 By following a few basic guidelines, those with limited research training can develop survey instruments capable of producing valid and reliable information. The 3 primary concerns for developing appropriate questions (items) are: (1) response format; (2) content; and (3) wording and placement (see Figure B, Survey Questions; and Figure C, Designing and Formatting the Survey).

Format

Questionnaires generally use a closed-ended format rather than an open-ended format. Closed formats spell out response options instead of asking study subjects to respond in their own words. Although there are many reasons for using closed formats, their primary advantages over open formats is that they are more specific and provide the same frame of reference to all respondents, and they allow quantitative analysis. A disadvantage is that they limit the possible range of responses envisioned by the investigators. Questionnaires with closed formats are therefore not as helpful as qualitative methods in the early, exploratory phases of a research project.

Closed-ended items can be formatted into several different categories (classes) of measurement, based on the relationship of the response categories to one another. Nominal measurements are responses that are sorted into unordered categories, such as demographic variables (ie, sex, ethnicity). Ordinal measurements are similar to nominal, except that there is a definite order to the categories. For example, ordinal items may ask respondents to rank their preferences among a list of options from the least desirable to the most desirable.

Survey items that ask for respondents(delete apostrophe) to rank order preferences are often a more useful than items that state, “check all that apply.” While checking all relevant responses may be necessary for certain items, such questions often lose valuable information as they can only supply raw percentages without supplying any comparison between responses. If a survey uses a rank order response, it enables determining the relative importance of the different categories during data analysis Table 1.

Two additional tools used on questionnaires are continuous variables and scales. Continuous variables can be simple counts (eg, the number of times something occurred) or physical attributes (eg, age or weight). A general rule when collecting information on continuous variables is to avoid obtaining the information in ranges of categories unless absolutely necessary. Response categories that reflect ranges of responses can always be constructed after the information is gathered, but if the information is gathered in ranges from the start, it cannot later be expanded to reflect specific values.

Scales are used by survey researchers to assess the intensity of respondents’ attitudes about a specific issue or issues. Likert scales are probably the best known and most widely used for measuring attitudes. These scales typically present respondents with a statement and ask them to indicate whether they “strongly agree,” “agree,” “neither agree nor disagree,” “disagree,” or “strongly disagree.” The wording of the response categories can be changed to reflect other concepts (eg, approval or disapproval), and the standard 5-response format can be expanded or abbreviated if necessary.

There are no hard and fast rules for determining the number of response categories to use for scaled items, or whether to use a neutral category or one that reflects uncertainty. Research indicates that the reliability of respondents’ ratings declines when using more than 9 rating scale points.25 However, the reliability of a scale increases when the number of rating scale points is increased, with maximum benefit achieved with 5 or 7 scale points.25,26 Since the objective of using scales is to gauge respondent’s preferences, it is sometimes argued that a middle point or category of uncertainty category should not be used. Odd-numbered rating scales, however, conform better with the underlying tenets of many statistical tests, suggesting the need for including this category.29 As the number of rating scale points increases, respondents’ use of the midpoint category decreases substantially. 30 Thus, based on the available literature, it is generally advisable to use between 5 and 7 response categories and an uncertainty category, unless there is a compelling reason to force respondents to choose between 2 competing perspectives or alternatives.

Content

Items should not be included on questionnaires when the only justification for inclusion is that the investigator feels the information “would be really interesting to know.” Rather, for each item, you should ask yourself how it addresses the study’s research question and how it will be used in the data analysis stage of the study. Researchers should develop a data analysis plan in advance of administering a questionnaire to determine exactly how each question will be used in the analysis. When the relationship between a particular item and the study’s research question is unclear, or it is not known how an item will be used in the analysis, the item should be removed from the questionnaire.

 

 

Wording and placement

The wording of questions should be kept simple, regardless of the education level of the respondents. Questions should be kept as short and direct as possible since shorter surveys tend to have higher response rates.31,32 Each question should be scrutinized to ensure it is appropriate for the respondents and does not require or assume an inappropriate level of knowledge about a topic. Since first impressions are important for setting the tone of a questionnaire, never begin with sensitive or threatening questions.33 Questionnaires should begin with simple, introductory (“warm-up”)“questions to help establish trust and an appropriate frame of mind for respondents.34 Other successful strategies are: (1) when addressing multiple topics, insert an introductory statement immediately preceding each topic (eg, “In the next section we would like to ask you about …”); (2) request demographic information at the end of the questionnaire; and (3) always provide explicit instructions to avoid any confusion on the part of respondents.35

Additional, clear information on survey content and structure is available in 2 books from Sage Publications.5,36 By following simple guidelines and common sense, most family practice researchers can construct valid and reliable questionnaires. As a final safeguard, once a final draft of the questionnaire is completed, the researcher should always be the first respondent. By placing yourself in the respondent’s role and taking the time to think about and respond to each question, problems with the instrument that were overlooked are sometimes identified.

Analyzing surveys

It is not within the scope of this project to address statistical analysis of survey data. Before attempting data analysis, investigators should receive appropriate training or consult with a qualified professional. There are 3 topics that can and should be understood by novice researchers related to data analysis (Figure D, Developing a Framework for Analysis).

Coding

Before analyzing survey data it is necessary to assign numbers (codes) to the responses obtained. Since the computer program that is used for analyzing data does not know what the numbers mean, the researcher assigns meaning to the codes so that the results can be interpreted correctly. Coding refers to the process of developing the codes, assigning them to responses, and documenting the decision rules used for assigning specific codes to specific response categories. For example, almost all questionnaires contain missing values when respondents elect to not answer an item. Unique codes need to be assigned to distinguish between an item’s missing values, items that may not be applicable to a particular respondent, and responses that have a “none” or “no opinion” category.

Data can be entered into appropriate data files once codes have been assigned to responses and a codebook compiled that defines the codes and their corresponding response categories. It is important to ensure that the data are free of errors (are clean) prior to performing data analysis. Although many methods can be used for data cleaning (ie, data can be entered twice and results compared consistency), at a minimum all of the codes should be checked to ensure only legitimate codes appear.

Frequency distributions are tables produced by statistical software that display the number of respondents in each response category for each item (variable) used in the analysis. By carefully examining frequency tables, the researcher can check for illegitimate codes. Frequency tables also display the relative distribution of responses and allow identification of items that do not conform to expectations given what is known about the study population.

Sample size

Since it is usually not possible to study all of the members of the group (population) of interest in a study, a subset (sample) of the population is generally selected for study from the sampling frame. Sampling is the process by which study subjects are selected from the target population, while the sample frame is the members of a population who have a chance of being included in the survey. In probability samples, each member of the sampling frame has a known probability of being selected for the study, whereas in nonprobability samples, the probability of selection is unknown. When a high degree of precision in sampling is needed to unambiguously identify the magnitude of a problem in a population or the factors that cause the problem, then probability sampling techniques must be used.

When conducting an analytical study that examines precisely whether statistically significant differences exist between groups in a population, power analysis is used to determine what size sample is needed to detect the differences. Estimates of sample size based on power are inversely related to the expected size of the differences “(effect size)”-that is, detecting smaller differences requires a larger sample. If an analytical study is undertaken to determine the magnitude of the differences between 2 groups, it is necessary to work with a statistician or other methodology expert to perform the appropriate power analysis. For a basic but valuable description of sample size estimation, see chapter 13 of Hulley and Cummings.21

 

 

In contrast to analytical studies, exploratory and descriptive studies can frequently be conducted without the need for a power analysis. While some descriptive studies may require the use of probability techniques and precise sample estimates, this often is not the case for studies that establish the existence of a problem or estimating its dimensions. When conducting an exploratory or descriptive study using a survey design and a nonprobability sampling technique, considerations other than effect size or precision are used to determine sample size. For example, the availability of eligible respondents, limitations of time and resources, and the need for pilot study data can all contribute to selecting a nonprobability sample. When these types of sampling techniques are used, however, it is important to remember that the validity and reliability of the findings are not assured, and the findings cannot be used to demonstrate the existence of differences between groups. The findings of these types of studies are only suggestive and have limited application beyond the specific study setting.

Response rate

The response rate is a measure indicating the percentage of the identified sample that completed and returned the questionnaire. It is calculated by dividing the number of completed questionnaires by the total sample size identified for the study. For example, if a study is mailed to 500 physicians questionnaires and 100 returned a completed questionnaire, the response rate would be 20% (100/500).

The response rate for mailed questionnaires is extremely variable. Charities are generally content with a 1% to 3% response rate, the US Census Bureau expects to achieve a 99% rate, and among the general population, a 10% response rate is not uncommon. Although an 80% response rate is possible from an extremely motivated population, a rate of 70% is generally considered excellent.34

The effect of nonresponse on the results of a survey depend on the degree to which those not responding are systematically different from the population from which they are drawn.24 When the response rate is high (ie, 95%), the results obtained from the sample will likely provide accurate information about the target population (sampling frame) even if the nonrespondents are distinctly different. However, if nonrespondents differ in a systematic way from the target population and the response rate is low, bias in how much the survey results accurately reflect the true characteristics of the target population is likely.

When calculating the response rate, participants who have died or retired can be removed from the denominator as appropriate. Nonrespondents, however, who refuse to participate, do not return the survey, or have moved should be included. This bias tends to be more problematic in “sensitive” areas of research37 than in studies of common, nonthreatening topics.38 Imputing values for missing data from nonrespondents is complex and generally should not be undertaken.39

Given the importance of response rate, every effort must be made to obtain as many completed questionnaires as possible and strategies to maximize the response rate should be integrated into the study design (see Dillman23 for a useful discussion of successful strategies). Some simple means for improving response rates include constructing a short questionnaire, sending a well-written and personalized cover letter containing your signature, and emphasizing the importance of the study and the confidentiality of responses. It is also advisable to include a self-addressed, stamped envelope for return responses, and sometimes a small incentive is worthwhile. The National Center for Education Statistics notes that all surveys require some follow-up to achieve desirable response rates.40 Survey researchers, therefore, should develop procedures for monitoring responses and implement follow-up plans shortly after the survey begins.

Generally, 2 or 3 mailings are used to maximize response rates. Use of post card reminders is an inexpensive, though untested, method to increase response. Several randomized studies have reported an increase in response rate from physicians in private practice with the use of monetary incentives, although the optimum amount is debated. Everett et al40 compared the use of a $1 incentive vs no monetary incentive and found a significant increase with the incentive group (response rates: 63% in the $1 group; 45% in the no incentive group; P < .0001).41 Other studies have compared $2, $5, $10, $20, and $25 incentives and found that $2 or $5 incentives are most cost effective.4245 Similar findings have been reported for physician surveys in other countries.31,46 In an assessment of incentive for enrollees in a health plan, a $2 incentive was more cost effective than a $5 incentive.47 A $1 incentive was as effective as $2 in significantly increasing response rate in a low-income population.48 Quality of responses have not varied by use of incentives and there does not appear to be an incentive-bias.

 

 

Use of lottery appears to also increase response rate in both physicians and the lay public, although there are no studies comparing lottery to a monetary incentive enclosed for all participants.31,49 Use of either certified or priority return mail appears to increase response rates, and may be more cost effective when used for the second mailing.45,48

Pilot testing

Though pilot testing is generally included in the development of a survey, it is often inadequately conducted Figure F Final Preparation). Frequently, investigators are eager to answer their research question and pilot testing is synonymous with letting a few colleagues take a quick look and make a few comments. Table 2 illustrates a problem that could have been avoided with proper pilot testing.10 One of the questions in the survey asked about how time is allotted for faculty to pursue scholarly activities and research (Format A). Unfortunately, the question mixes 2 types of time in 1 question: extended time away from the institution (sabbatical and mini-sabbatical) and time in the routine schedule. This was confusing to respondents and could have been avoided by separating the content into 2 separate questions (Format B).

Investigators should consider carefully whom to include in the pilot testing. Not only should this include the project team and survey “experts”, but it should also include a sample of the target audience. Pilot testing among multiple groups provides feedback about the wording and clarity of questions, appropriateness of the questions for the target population, and the presence of redundant or unnecessary items.

Conclusions

One of the authors (C.R.W.) recently worked on her first questionnaire project. Among the many lessons she learned was the value of a team in providing assistance, the importance of considering if the time spent on a particular activity makes it cost effective, and the need to be flexible depending on circumstances. She found that establishing good communication with the team cuts down on errors and wasted effort. Rewarding the team for all of their hard work improves morale and provides a positive model for future projects.

The mailed self-administered questionnaire is an important tool in primary care research. For family practice to continue its maturation as a research discipline, family practitioners need to be conversant in survey methodology and familiar with its pitfalls. We hope this primer-designed specifically for use in the family practice setting-will provide not only basic guidelines for novices but will also inspire further investigation.

Acknowledgments

The authors thank Laura Snell, MPH, for her thoughtful review of the manuscript. We also thank Olive Chen, PhD, for research assistance and Janice Rookstool for manuscript preparation.

References

1. Siebert C, Lipsett LF, Greenblatt J, Silverman RE. Survey of physician practice behaviors related to diabetes mellitus in the U.S. I. Design and methods. Diabetes Care 1993;16:759-64.

2. Weller AC. Editorial peer review: methodology and data collection. Bull Med Libr Assoc 1990;78:258-70.

3. Myerson S. Improving the response rates in primary care research. Some methods used in a survey on stress in general practice since the new contract (1990). Fam Pract 1993;10:342-6.

4. PsycINFO: your source for psychological abstracts. PsycINFO Web site. Available at: http://www.apa.org/psycinfo. Accessed April 11, 2002.

5. Converse JM, Presser S. Survey Questions: Handcrafting The Standardized Questionnaire. Quantitative Applications in the Social Sciences. Newbury Park, CA: Sage Publications; 1986.

6. Cox J. Your Opinion, Please!: How to Build the Best Questionnaires in the Field of Education. Thousand Oaks, CA: Corwin Press; 1996.

7. Fink A. ed The Survey Kit. Thousand Oaks, CA: Sage Publications; 1995.

8. Fowler F. Survey Research Methods. Applied Social Research Methods Series. Newbury Park, CA: Sage Publications; 1991.

9. Fowler F. Improving Survey Questions. Applied Social Research Methods Series. Newbury Park, CA: Sage Publications; 1995.

10. Oeffinger KC, Roaten SP, , Jr. Ader DN, Buchanan RJ. Support and rewards for scholarly activity in family medicine: a national survey. Fam Med 1997;29:508-12.

11. Oeffinger KC, Snell LM, Foster BM, Panico KG, Archer RK. Diagnosis of acute bronchitis in adults: a national survey of family physicians.  J Fam Pract 1997;45:402-9.

12. Oeffinger KC, Snell LM, Foster BM, Panico KG, Archer RK. Treatment of acute bronchitis in adults. A national survey of family physicians. J Fam Pract 1998;46:469-75.

13. Oeffinger KC, Eshelman DA, Tomlinson GE, Buchanan GR. Programs for adult survivors of childhood cancer. J Clin Oncol 1998;16:2864-7.

14. Robinson MK, DeHaven MJ, Koch KA. The effects of the patient self-determination act on patient knowledge and behavior. J Fam Pract 1993;37:363-8.

15. Murphee DD, DeHaven MJ. Does grandma need condoms: condom use among women in a family practice setting. Arch Fam Med 1995;4:233-8.

16. DeHaven MJ, Wilson GR, Murphee DD, Grundig JP. An examination of family medicine residency program director’s views on research. Fam Med 1997;29:33-8.

17. Smith GE, DeHaven MJ, Grundig JP, Wilson GR. African-American males and prostate cancer: assessing knowledge levels in the community. J Natl Med Assoc 1997;89:387-91.

18. DeHaven MJ, Wilson GR, O’Connor PO. Creating a research culture: what we can learn from residencies that are successful in research. Fam Med 1998;30:501-7.

19. Koch KA, DeHaven MJ, Robinson MK. Futility: it’s magic. Clinical Pulmonary Medicine 1998;5:358-63.

20. Rogers J. Family medicine research: a matter of values and vision. Fam Med 1995;27:180-1.

21. Hulley SB, Cummings S, eds. Designing Clinical Research: An Epidemiological Approach. Baltimore, MD: Williams & Wilkins; 1988.

22. Babbie E. Survey research methods. Belmont, CA: Wadsworth Publishing; 1973.

23. Dillman DA. Mail and Telephone Surveys: The Total Design Method. New York: John Wiley & Sons; 1978.

24. Carmines EG, Zeller R. Reliability and Validity Assessment. Quantitative Applications in the Social Sciences, 17. Newbury Park, CA: Sage Publications; 1979.

25. Preston CC, Colman AM. Optimal number of response categories in rating scales: reliability, validity, discriminating power, and respondent p. Acta Psychol (Amst) 2000;104:1-15.

26. Bandalos DL, Enders CK. The effects of non-normality and number of response categories on reliability. Appl Meas Ed 1996;9:151-60.

27. Cicchetti DV, Showalter D, Tyrer PJ. The effect of number of rating scale categories on levels of interrater reliability: a Monte Carlo investigation. Appl Psychol Meas 1985;9:31-6.

28. Nunnally JC. Psychometric Theory. New York: McGraw-Hill; 1967.

29. Likert R. A technique for the measurement of attitudes. Arch Psychol 1932;140:55.-

30. Matell MS, Jacoby J. Is there an optimal number of alternatives for Likert scale items? Effects of testing time and scale properties. J Appl Psychol 1972;56:506-9.

31. Kalantar JS, Talley NJ. The effects of lottery incentive and length of questionnaire on health survey response rates: a randomized study. J Clin Epidemiol 1999;52:1117-22.

32. Yammarino FJ, Skinner SJ, Childers TL. Understanding mail survey response behavior: a meta-analysis. Public Opin Q 1991;55:613-39.

33. Bailey KD. Methods of Social Research. New York: The Free Press; 1994.

34. Backstrom CH, Hursh-Cesar G. Survey Research. 2nd ed. New York: John Wiley & Sons; 1981.

35. Babbie E. The Practice of Social Research. Belmont, CA: Wadsworth Publishing; 1989.

36. Fowler FJ. Survey Research Methods. Applied Social Research Methods, Volume 1. Newbury Park, CA: Sage Publications; 1988.

37. Hill A, Roberts J, Ewings P, Gunnell D. Non-response bias in a lifestyle survey. J Public Health Med 1997;19:203-7.

38. O’Neill TW, Marsden D, Silman AJ. Differences in the characteristics of responders and non-responders in a prevalence survey of vertebral osteoporosis. European Vertebral Osteoporosis Study Group. Osteoporos Int 1995;5:327-34.

39. Jones J. The effects of non-response on statistical inference. J Health Soc Policy 1996;8:49-62.

40. National Center for Education Statistics. Standard for achieving acceptable survey response rates, NCES Standard: II-04-92. 2001. Available at: http://www.nces.ed.gov/statprog/Stand11_04.asp. Last accessed April 11, 2002.

41. Everett SA, Price JH, Bedell AW, Telljohann SK. The effect of a monetary incentive in increasing the return rate of a survey to family physicians. Eval Health Prof 1997;20:207-14.

42. Asch DA, Christakis NA, Ubel PA. Conducting physician mail surveys on a limited budget. A randomized trial comparing $2 bill versus $5 bill incentives. Med Care 1998;36:95-9.

43. VanGeest JB, Wynia MK, Cummins DS, Wilson IB. Effects of different monetary incentives on the return rate of a national mail survey of physicians. Med Care 2001;39:197-201.

44. Tambor ES, Chase GA, Faden RR, Geller G, Hofman KJ, Holtzman NA. Improving response rates through incentive and follow-up: the effect on a survey of physicians’ knowledge of genetics. Am J Public Health 1993;83:1599-603.

45. Kasprzyk D, Montano DE, St Lawrence JS, Phillips WR. The effects of variations in mode of delivery and monetary incentive on physicians’ responses to a mailed survey assessing STD practice patterns. Eval Health Prof 2001;24:3-17.

46. Deehan A, Templeton L, Taylor C, Drummond C, Strang J. The effect of cash and other financial inducements on the response rate of general practitioners in a national postal study. Br J Gen Pract 1997;47(415):87-90.

47. Shaw MJ, Beebe TJ, Jensen HL, Adlis SA. The use of monetary incentives in a community survey: impact on response rates, data quality, and cost. Health Serv Res 2001;35:1339-46.

48. Gibson PJ, Koepsell TD, Diehr P, Hale C. Increasing response rates for mailed surveys of Medicaid clients and other low-income populations. Am J Epidemiol 1999;149:1057-62.

49. Baron G, De Wals P, Milord F. Cost-effectiveness of a lottery for increasing physicians’ responses to a mail survey. Eval Health Prof 2001;24:47-52.

Address correspondence to Cristen R. Wall, MD, The University of Texas Southwestern Medical Center, Department of Family Practice and Community Medicine, 6263 Harry Hines Boulevard, Dallas, TX 75390-9067. E-mail: Cristen.Wall@UTSouthwestern.edu.

To submit a letter to the editor on this topic, click here:jfp@fammed.uc.edu.

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Mark J. DeHaven, PhD
Kevin C. Oeffinger, MD
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From The University of Texas Southwestern Medical Center at Dallas, the Department of Family Practice and Community Medicine, Dallas, TX. Presented at the 33rd Annual Conference of the Society of Teachers of Family Medicine, Orlando, FL, May 2000, and at the North American Primary Care Research Group, Amelia Island, FL, November 2000.

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Mark J. DeHaven, PhD
Kevin C. Oeffinger, MD
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Research using self-developed questionnaires is a popular study design in family practice and is frequently used for gathering data on knowledge, beliefs, attitudes, and behaviors. A Medline literature search from 1966 to 2000 identified 53,101 articles related to questionnaires, of which 2088 were directly related to family practice. Despite the large number of questionnaire-related articles, however, only 2 in the general medical literature1,2 and 1 in the family practice literature3 were directly related to research methodology.

To obtain guidance on survey research methodology, novice family practice researchers often must go through volumes of information by specialists in other disciplines. For example, a search of a psychology database (PsychInfo)4 from 1966 to 2000 produced 45 articles about questionnaire methodology. The goal of this article is to synthesize pertinent survey research methodology tenets-from other disciplines as well as from family practice-in a manner that is meaningful to novice family practice researchers as well as to research consumers. This article is not aimed at answering all questions, but rather is meant to serve as a general guideline for those with little formal research training who seek guidance in developing and administering questionnaires.

Avoiding common pitfalls in survey research

Although constructing a questionnaire is not exceedingly complex, simple mistakes can be avoided by following some basic rules and guidelines. The Figure is a checklist for conducting a survey research project that combines guidelines and suggestions from published survey research literature,5-9 and the cumulative experience of the authors. Two of the authors (M.J.D. and K.C.O.) are experienced survey researchers who have published, in peer-reviewed journals, numerous studies that used questionnaires.10-19 One of the authors (MJD) has been teaching research to residents and junior faculty for over a decade, and has been an advisor on scores of resident, student, and faculty research projects. The perspective of the novice researcher is represented by 1 author (C.R.W.).

Getting started

The “quick and dirty” approach is perhaps the most common pitfall in survey research. Because of the ease of administration and the relatively low cost of survey research, questionnaires can be developed and administered quickly. The researcher, however, should be sure to consider whether or not a survey is the most appropriate method to answer a research question. Adequate time must be given to thoroughly searching the relevant literature, developing and focusing on an appropriate research question, and defining the target population for the study (see Figure A, Getting Started). Large, multisite surveys are more likely to be generalizeable and to be published in peer-reviewed journals.

One way to avoid undertaking a project too rapidly and giving inadequate attention to the survey research process is for novice researchers to avoid independent research. Those with little or no experience must realize that researchers in both family practice and other fields perform research in teams, with the various participants bringing specific skills to the process.20 Oversights, mistakes, and biases in the design of questionnaires can always occur, whether a researcher is working independently or as a member of a team. It seems reasonable to assume, however, that significant problems are much less likely to occur when a multidisciplinary team approach is involved rather than an individual researcher undertaking a study independently.

Ideally, a research team should include a statistician, a professional with experience in the content areas of the study, and a senior investigator.21 The desirable area of expertise, however, is often not readily available to family physicians, especially those in community-based settings. Individuals with some training in research who are interested in being involved can usually be found in colleges and universities, hospitals, and at the local public health department. Psychologists, sociologists, health services researchers, public health epidemiologists, and nursing educators are all potential resources and possible collaborators. Establishing the necessary relationships to form an ad hoc research team is certainly more time and labor intensive than undertaking research independently, but generally results in the collection of more useful information.

Novices should consult survey methodology books before and during the study.5-9 Excellent resources are available that provide a comprehensive overview of survey methods,22 means for improving response rates,23 and methods for constructing relatively brief but thorough survey questions.5 Academic family practice fellowships often provide training in survey methodology. In addition, many family practice researchers respond favorably to requests for information or advice requested by telephone or email contact. The novice author of this article reports excellent success in contacting experts in this manner. With the advent of the Internet, a “cyberspace” team comprised of experts in the topic and the methodology is a reasonable and helpful option for the novice.

 

 

Survey content and structure

Novice researchers often assume that developing a questionnaire is an intuitive process attainable by virtually anyone, regardless of their level of research training. While it is true that questionnaires are relatively simple to construct, developing an instrument that is valid and reliable is not intuitive. An instrument is valid if it actually measures what we think it is measuring, and it is reliable if it measures the phenomenon consistently in repeated applications.24 By following a few basic guidelines, those with limited research training can develop survey instruments capable of producing valid and reliable information. The 3 primary concerns for developing appropriate questions (items) are: (1) response format; (2) content; and (3) wording and placement (see Figure B, Survey Questions; and Figure C, Designing and Formatting the Survey).

Format

Questionnaires generally use a closed-ended format rather than an open-ended format. Closed formats spell out response options instead of asking study subjects to respond in their own words. Although there are many reasons for using closed formats, their primary advantages over open formats is that they are more specific and provide the same frame of reference to all respondents, and they allow quantitative analysis. A disadvantage is that they limit the possible range of responses envisioned by the investigators. Questionnaires with closed formats are therefore not as helpful as qualitative methods in the early, exploratory phases of a research project.

Closed-ended items can be formatted into several different categories (classes) of measurement, based on the relationship of the response categories to one another. Nominal measurements are responses that are sorted into unordered categories, such as demographic variables (ie, sex, ethnicity). Ordinal measurements are similar to nominal, except that there is a definite order to the categories. For example, ordinal items may ask respondents to rank their preferences among a list of options from the least desirable to the most desirable.

Survey items that ask for respondents(delete apostrophe) to rank order preferences are often a more useful than items that state, “check all that apply.” While checking all relevant responses may be necessary for certain items, such questions often lose valuable information as they can only supply raw percentages without supplying any comparison between responses. If a survey uses a rank order response, it enables determining the relative importance of the different categories during data analysis Table 1.

Two additional tools used on questionnaires are continuous variables and scales. Continuous variables can be simple counts (eg, the number of times something occurred) or physical attributes (eg, age or weight). A general rule when collecting information on continuous variables is to avoid obtaining the information in ranges of categories unless absolutely necessary. Response categories that reflect ranges of responses can always be constructed after the information is gathered, but if the information is gathered in ranges from the start, it cannot later be expanded to reflect specific values.

Scales are used by survey researchers to assess the intensity of respondents’ attitudes about a specific issue or issues. Likert scales are probably the best known and most widely used for measuring attitudes. These scales typically present respondents with a statement and ask them to indicate whether they “strongly agree,” “agree,” “neither agree nor disagree,” “disagree,” or “strongly disagree.” The wording of the response categories can be changed to reflect other concepts (eg, approval or disapproval), and the standard 5-response format can be expanded or abbreviated if necessary.

There are no hard and fast rules for determining the number of response categories to use for scaled items, or whether to use a neutral category or one that reflects uncertainty. Research indicates that the reliability of respondents’ ratings declines when using more than 9 rating scale points.25 However, the reliability of a scale increases when the number of rating scale points is increased, with maximum benefit achieved with 5 or 7 scale points.25,26 Since the objective of using scales is to gauge respondent’s preferences, it is sometimes argued that a middle point or category of uncertainty category should not be used. Odd-numbered rating scales, however, conform better with the underlying tenets of many statistical tests, suggesting the need for including this category.29 As the number of rating scale points increases, respondents’ use of the midpoint category decreases substantially. 30 Thus, based on the available literature, it is generally advisable to use between 5 and 7 response categories and an uncertainty category, unless there is a compelling reason to force respondents to choose between 2 competing perspectives or alternatives.

Content

Items should not be included on questionnaires when the only justification for inclusion is that the investigator feels the information “would be really interesting to know.” Rather, for each item, you should ask yourself how it addresses the study’s research question and how it will be used in the data analysis stage of the study. Researchers should develop a data analysis plan in advance of administering a questionnaire to determine exactly how each question will be used in the analysis. When the relationship between a particular item and the study’s research question is unclear, or it is not known how an item will be used in the analysis, the item should be removed from the questionnaire.

 

 

Wording and placement

The wording of questions should be kept simple, regardless of the education level of the respondents. Questions should be kept as short and direct as possible since shorter surveys tend to have higher response rates.31,32 Each question should be scrutinized to ensure it is appropriate for the respondents and does not require or assume an inappropriate level of knowledge about a topic. Since first impressions are important for setting the tone of a questionnaire, never begin with sensitive or threatening questions.33 Questionnaires should begin with simple, introductory (“warm-up”)“questions to help establish trust and an appropriate frame of mind for respondents.34 Other successful strategies are: (1) when addressing multiple topics, insert an introductory statement immediately preceding each topic (eg, “In the next section we would like to ask you about …”); (2) request demographic information at the end of the questionnaire; and (3) always provide explicit instructions to avoid any confusion on the part of respondents.35

Additional, clear information on survey content and structure is available in 2 books from Sage Publications.5,36 By following simple guidelines and common sense, most family practice researchers can construct valid and reliable questionnaires. As a final safeguard, once a final draft of the questionnaire is completed, the researcher should always be the first respondent. By placing yourself in the respondent’s role and taking the time to think about and respond to each question, problems with the instrument that were overlooked are sometimes identified.

Analyzing surveys

It is not within the scope of this project to address statistical analysis of survey data. Before attempting data analysis, investigators should receive appropriate training or consult with a qualified professional. There are 3 topics that can and should be understood by novice researchers related to data analysis (Figure D, Developing a Framework for Analysis).

Coding

Before analyzing survey data it is necessary to assign numbers (codes) to the responses obtained. Since the computer program that is used for analyzing data does not know what the numbers mean, the researcher assigns meaning to the codes so that the results can be interpreted correctly. Coding refers to the process of developing the codes, assigning them to responses, and documenting the decision rules used for assigning specific codes to specific response categories. For example, almost all questionnaires contain missing values when respondents elect to not answer an item. Unique codes need to be assigned to distinguish between an item’s missing values, items that may not be applicable to a particular respondent, and responses that have a “none” or “no opinion” category.

Data can be entered into appropriate data files once codes have been assigned to responses and a codebook compiled that defines the codes and their corresponding response categories. It is important to ensure that the data are free of errors (are clean) prior to performing data analysis. Although many methods can be used for data cleaning (ie, data can be entered twice and results compared consistency), at a minimum all of the codes should be checked to ensure only legitimate codes appear.

Frequency distributions are tables produced by statistical software that display the number of respondents in each response category for each item (variable) used in the analysis. By carefully examining frequency tables, the researcher can check for illegitimate codes. Frequency tables also display the relative distribution of responses and allow identification of items that do not conform to expectations given what is known about the study population.

Sample size

Since it is usually not possible to study all of the members of the group (population) of interest in a study, a subset (sample) of the population is generally selected for study from the sampling frame. Sampling is the process by which study subjects are selected from the target population, while the sample frame is the members of a population who have a chance of being included in the survey. In probability samples, each member of the sampling frame has a known probability of being selected for the study, whereas in nonprobability samples, the probability of selection is unknown. When a high degree of precision in sampling is needed to unambiguously identify the magnitude of a problem in a population or the factors that cause the problem, then probability sampling techniques must be used.

When conducting an analytical study that examines precisely whether statistically significant differences exist between groups in a population, power analysis is used to determine what size sample is needed to detect the differences. Estimates of sample size based on power are inversely related to the expected size of the differences “(effect size)”-that is, detecting smaller differences requires a larger sample. If an analytical study is undertaken to determine the magnitude of the differences between 2 groups, it is necessary to work with a statistician or other methodology expert to perform the appropriate power analysis. For a basic but valuable description of sample size estimation, see chapter 13 of Hulley and Cummings.21

 

 

In contrast to analytical studies, exploratory and descriptive studies can frequently be conducted without the need for a power analysis. While some descriptive studies may require the use of probability techniques and precise sample estimates, this often is not the case for studies that establish the existence of a problem or estimating its dimensions. When conducting an exploratory or descriptive study using a survey design and a nonprobability sampling technique, considerations other than effect size or precision are used to determine sample size. For example, the availability of eligible respondents, limitations of time and resources, and the need for pilot study data can all contribute to selecting a nonprobability sample. When these types of sampling techniques are used, however, it is important to remember that the validity and reliability of the findings are not assured, and the findings cannot be used to demonstrate the existence of differences between groups. The findings of these types of studies are only suggestive and have limited application beyond the specific study setting.

Response rate

The response rate is a measure indicating the percentage of the identified sample that completed and returned the questionnaire. It is calculated by dividing the number of completed questionnaires by the total sample size identified for the study. For example, if a study is mailed to 500 physicians questionnaires and 100 returned a completed questionnaire, the response rate would be 20% (100/500).

The response rate for mailed questionnaires is extremely variable. Charities are generally content with a 1% to 3% response rate, the US Census Bureau expects to achieve a 99% rate, and among the general population, a 10% response rate is not uncommon. Although an 80% response rate is possible from an extremely motivated population, a rate of 70% is generally considered excellent.34

The effect of nonresponse on the results of a survey depend on the degree to which those not responding are systematically different from the population from which they are drawn.24 When the response rate is high (ie, 95%), the results obtained from the sample will likely provide accurate information about the target population (sampling frame) even if the nonrespondents are distinctly different. However, if nonrespondents differ in a systematic way from the target population and the response rate is low, bias in how much the survey results accurately reflect the true characteristics of the target population is likely.

When calculating the response rate, participants who have died or retired can be removed from the denominator as appropriate. Nonrespondents, however, who refuse to participate, do not return the survey, or have moved should be included. This bias tends to be more problematic in “sensitive” areas of research37 than in studies of common, nonthreatening topics.38 Imputing values for missing data from nonrespondents is complex and generally should not be undertaken.39

Given the importance of response rate, every effort must be made to obtain as many completed questionnaires as possible and strategies to maximize the response rate should be integrated into the study design (see Dillman23 for a useful discussion of successful strategies). Some simple means for improving response rates include constructing a short questionnaire, sending a well-written and personalized cover letter containing your signature, and emphasizing the importance of the study and the confidentiality of responses. It is also advisable to include a self-addressed, stamped envelope for return responses, and sometimes a small incentive is worthwhile. The National Center for Education Statistics notes that all surveys require some follow-up to achieve desirable response rates.40 Survey researchers, therefore, should develop procedures for monitoring responses and implement follow-up plans shortly after the survey begins.

Generally, 2 or 3 mailings are used to maximize response rates. Use of post card reminders is an inexpensive, though untested, method to increase response. Several randomized studies have reported an increase in response rate from physicians in private practice with the use of monetary incentives, although the optimum amount is debated. Everett et al40 compared the use of a $1 incentive vs no monetary incentive and found a significant increase with the incentive group (response rates: 63% in the $1 group; 45% in the no incentive group; P < .0001).41 Other studies have compared $2, $5, $10, $20, and $25 incentives and found that $2 or $5 incentives are most cost effective.4245 Similar findings have been reported for physician surveys in other countries.31,46 In an assessment of incentive for enrollees in a health plan, a $2 incentive was more cost effective than a $5 incentive.47 A $1 incentive was as effective as $2 in significantly increasing response rate in a low-income population.48 Quality of responses have not varied by use of incentives and there does not appear to be an incentive-bias.

 

 

Use of lottery appears to also increase response rate in both physicians and the lay public, although there are no studies comparing lottery to a monetary incentive enclosed for all participants.31,49 Use of either certified or priority return mail appears to increase response rates, and may be more cost effective when used for the second mailing.45,48

Pilot testing

Though pilot testing is generally included in the development of a survey, it is often inadequately conducted Figure F Final Preparation). Frequently, investigators are eager to answer their research question and pilot testing is synonymous with letting a few colleagues take a quick look and make a few comments. Table 2 illustrates a problem that could have been avoided with proper pilot testing.10 One of the questions in the survey asked about how time is allotted for faculty to pursue scholarly activities and research (Format A). Unfortunately, the question mixes 2 types of time in 1 question: extended time away from the institution (sabbatical and mini-sabbatical) and time in the routine schedule. This was confusing to respondents and could have been avoided by separating the content into 2 separate questions (Format B).

Investigators should consider carefully whom to include in the pilot testing. Not only should this include the project team and survey “experts”, but it should also include a sample of the target audience. Pilot testing among multiple groups provides feedback about the wording and clarity of questions, appropriateness of the questions for the target population, and the presence of redundant or unnecessary items.

Conclusions

One of the authors (C.R.W.) recently worked on her first questionnaire project. Among the many lessons she learned was the value of a team in providing assistance, the importance of considering if the time spent on a particular activity makes it cost effective, and the need to be flexible depending on circumstances. She found that establishing good communication with the team cuts down on errors and wasted effort. Rewarding the team for all of their hard work improves morale and provides a positive model for future projects.

The mailed self-administered questionnaire is an important tool in primary care research. For family practice to continue its maturation as a research discipline, family practitioners need to be conversant in survey methodology and familiar with its pitfalls. We hope this primer-designed specifically for use in the family practice setting-will provide not only basic guidelines for novices but will also inspire further investigation.

Acknowledgments

The authors thank Laura Snell, MPH, for her thoughtful review of the manuscript. We also thank Olive Chen, PhD, for research assistance and Janice Rookstool for manuscript preparation.

Research using self-developed questionnaires is a popular study design in family practice and is frequently used for gathering data on knowledge, beliefs, attitudes, and behaviors. A Medline literature search from 1966 to 2000 identified 53,101 articles related to questionnaires, of which 2088 were directly related to family practice. Despite the large number of questionnaire-related articles, however, only 2 in the general medical literature1,2 and 1 in the family practice literature3 were directly related to research methodology.

To obtain guidance on survey research methodology, novice family practice researchers often must go through volumes of information by specialists in other disciplines. For example, a search of a psychology database (PsychInfo)4 from 1966 to 2000 produced 45 articles about questionnaire methodology. The goal of this article is to synthesize pertinent survey research methodology tenets-from other disciplines as well as from family practice-in a manner that is meaningful to novice family practice researchers as well as to research consumers. This article is not aimed at answering all questions, but rather is meant to serve as a general guideline for those with little formal research training who seek guidance in developing and administering questionnaires.

Avoiding common pitfalls in survey research

Although constructing a questionnaire is not exceedingly complex, simple mistakes can be avoided by following some basic rules and guidelines. The Figure is a checklist for conducting a survey research project that combines guidelines and suggestions from published survey research literature,5-9 and the cumulative experience of the authors. Two of the authors (M.J.D. and K.C.O.) are experienced survey researchers who have published, in peer-reviewed journals, numerous studies that used questionnaires.10-19 One of the authors (MJD) has been teaching research to residents and junior faculty for over a decade, and has been an advisor on scores of resident, student, and faculty research projects. The perspective of the novice researcher is represented by 1 author (C.R.W.).

Getting started

The “quick and dirty” approach is perhaps the most common pitfall in survey research. Because of the ease of administration and the relatively low cost of survey research, questionnaires can be developed and administered quickly. The researcher, however, should be sure to consider whether or not a survey is the most appropriate method to answer a research question. Adequate time must be given to thoroughly searching the relevant literature, developing and focusing on an appropriate research question, and defining the target population for the study (see Figure A, Getting Started). Large, multisite surveys are more likely to be generalizeable and to be published in peer-reviewed journals.

One way to avoid undertaking a project too rapidly and giving inadequate attention to the survey research process is for novice researchers to avoid independent research. Those with little or no experience must realize that researchers in both family practice and other fields perform research in teams, with the various participants bringing specific skills to the process.20 Oversights, mistakes, and biases in the design of questionnaires can always occur, whether a researcher is working independently or as a member of a team. It seems reasonable to assume, however, that significant problems are much less likely to occur when a multidisciplinary team approach is involved rather than an individual researcher undertaking a study independently.

Ideally, a research team should include a statistician, a professional with experience in the content areas of the study, and a senior investigator.21 The desirable area of expertise, however, is often not readily available to family physicians, especially those in community-based settings. Individuals with some training in research who are interested in being involved can usually be found in colleges and universities, hospitals, and at the local public health department. Psychologists, sociologists, health services researchers, public health epidemiologists, and nursing educators are all potential resources and possible collaborators. Establishing the necessary relationships to form an ad hoc research team is certainly more time and labor intensive than undertaking research independently, but generally results in the collection of more useful information.

Novices should consult survey methodology books before and during the study.5-9 Excellent resources are available that provide a comprehensive overview of survey methods,22 means for improving response rates,23 and methods for constructing relatively brief but thorough survey questions.5 Academic family practice fellowships often provide training in survey methodology. In addition, many family practice researchers respond favorably to requests for information or advice requested by telephone or email contact. The novice author of this article reports excellent success in contacting experts in this manner. With the advent of the Internet, a “cyberspace” team comprised of experts in the topic and the methodology is a reasonable and helpful option for the novice.

 

 

Survey content and structure

Novice researchers often assume that developing a questionnaire is an intuitive process attainable by virtually anyone, regardless of their level of research training. While it is true that questionnaires are relatively simple to construct, developing an instrument that is valid and reliable is not intuitive. An instrument is valid if it actually measures what we think it is measuring, and it is reliable if it measures the phenomenon consistently in repeated applications.24 By following a few basic guidelines, those with limited research training can develop survey instruments capable of producing valid and reliable information. The 3 primary concerns for developing appropriate questions (items) are: (1) response format; (2) content; and (3) wording and placement (see Figure B, Survey Questions; and Figure C, Designing and Formatting the Survey).

Format

Questionnaires generally use a closed-ended format rather than an open-ended format. Closed formats spell out response options instead of asking study subjects to respond in their own words. Although there are many reasons for using closed formats, their primary advantages over open formats is that they are more specific and provide the same frame of reference to all respondents, and they allow quantitative analysis. A disadvantage is that they limit the possible range of responses envisioned by the investigators. Questionnaires with closed formats are therefore not as helpful as qualitative methods in the early, exploratory phases of a research project.

Closed-ended items can be formatted into several different categories (classes) of measurement, based on the relationship of the response categories to one another. Nominal measurements are responses that are sorted into unordered categories, such as demographic variables (ie, sex, ethnicity). Ordinal measurements are similar to nominal, except that there is a definite order to the categories. For example, ordinal items may ask respondents to rank their preferences among a list of options from the least desirable to the most desirable.

Survey items that ask for respondents(delete apostrophe) to rank order preferences are often a more useful than items that state, “check all that apply.” While checking all relevant responses may be necessary for certain items, such questions often lose valuable information as they can only supply raw percentages without supplying any comparison between responses. If a survey uses a rank order response, it enables determining the relative importance of the different categories during data analysis Table 1.

Two additional tools used on questionnaires are continuous variables and scales. Continuous variables can be simple counts (eg, the number of times something occurred) or physical attributes (eg, age or weight). A general rule when collecting information on continuous variables is to avoid obtaining the information in ranges of categories unless absolutely necessary. Response categories that reflect ranges of responses can always be constructed after the information is gathered, but if the information is gathered in ranges from the start, it cannot later be expanded to reflect specific values.

Scales are used by survey researchers to assess the intensity of respondents’ attitudes about a specific issue or issues. Likert scales are probably the best known and most widely used for measuring attitudes. These scales typically present respondents with a statement and ask them to indicate whether they “strongly agree,” “agree,” “neither agree nor disagree,” “disagree,” or “strongly disagree.” The wording of the response categories can be changed to reflect other concepts (eg, approval or disapproval), and the standard 5-response format can be expanded or abbreviated if necessary.

There are no hard and fast rules for determining the number of response categories to use for scaled items, or whether to use a neutral category or one that reflects uncertainty. Research indicates that the reliability of respondents’ ratings declines when using more than 9 rating scale points.25 However, the reliability of a scale increases when the number of rating scale points is increased, with maximum benefit achieved with 5 or 7 scale points.25,26 Since the objective of using scales is to gauge respondent’s preferences, it is sometimes argued that a middle point or category of uncertainty category should not be used. Odd-numbered rating scales, however, conform better with the underlying tenets of many statistical tests, suggesting the need for including this category.29 As the number of rating scale points increases, respondents’ use of the midpoint category decreases substantially. 30 Thus, based on the available literature, it is generally advisable to use between 5 and 7 response categories and an uncertainty category, unless there is a compelling reason to force respondents to choose between 2 competing perspectives or alternatives.

Content

Items should not be included on questionnaires when the only justification for inclusion is that the investigator feels the information “would be really interesting to know.” Rather, for each item, you should ask yourself how it addresses the study’s research question and how it will be used in the data analysis stage of the study. Researchers should develop a data analysis plan in advance of administering a questionnaire to determine exactly how each question will be used in the analysis. When the relationship between a particular item and the study’s research question is unclear, or it is not known how an item will be used in the analysis, the item should be removed from the questionnaire.

 

 

Wording and placement

The wording of questions should be kept simple, regardless of the education level of the respondents. Questions should be kept as short and direct as possible since shorter surveys tend to have higher response rates.31,32 Each question should be scrutinized to ensure it is appropriate for the respondents and does not require or assume an inappropriate level of knowledge about a topic. Since first impressions are important for setting the tone of a questionnaire, never begin with sensitive or threatening questions.33 Questionnaires should begin with simple, introductory (“warm-up”)“questions to help establish trust and an appropriate frame of mind for respondents.34 Other successful strategies are: (1) when addressing multiple topics, insert an introductory statement immediately preceding each topic (eg, “In the next section we would like to ask you about …”); (2) request demographic information at the end of the questionnaire; and (3) always provide explicit instructions to avoid any confusion on the part of respondents.35

Additional, clear information on survey content and structure is available in 2 books from Sage Publications.5,36 By following simple guidelines and common sense, most family practice researchers can construct valid and reliable questionnaires. As a final safeguard, once a final draft of the questionnaire is completed, the researcher should always be the first respondent. By placing yourself in the respondent’s role and taking the time to think about and respond to each question, problems with the instrument that were overlooked are sometimes identified.

Analyzing surveys

It is not within the scope of this project to address statistical analysis of survey data. Before attempting data analysis, investigators should receive appropriate training or consult with a qualified professional. There are 3 topics that can and should be understood by novice researchers related to data analysis (Figure D, Developing a Framework for Analysis).

Coding

Before analyzing survey data it is necessary to assign numbers (codes) to the responses obtained. Since the computer program that is used for analyzing data does not know what the numbers mean, the researcher assigns meaning to the codes so that the results can be interpreted correctly. Coding refers to the process of developing the codes, assigning them to responses, and documenting the decision rules used for assigning specific codes to specific response categories. For example, almost all questionnaires contain missing values when respondents elect to not answer an item. Unique codes need to be assigned to distinguish between an item’s missing values, items that may not be applicable to a particular respondent, and responses that have a “none” or “no opinion” category.

Data can be entered into appropriate data files once codes have been assigned to responses and a codebook compiled that defines the codes and their corresponding response categories. It is important to ensure that the data are free of errors (are clean) prior to performing data analysis. Although many methods can be used for data cleaning (ie, data can be entered twice and results compared consistency), at a minimum all of the codes should be checked to ensure only legitimate codes appear.

Frequency distributions are tables produced by statistical software that display the number of respondents in each response category for each item (variable) used in the analysis. By carefully examining frequency tables, the researcher can check for illegitimate codes. Frequency tables also display the relative distribution of responses and allow identification of items that do not conform to expectations given what is known about the study population.

Sample size

Since it is usually not possible to study all of the members of the group (population) of interest in a study, a subset (sample) of the population is generally selected for study from the sampling frame. Sampling is the process by which study subjects are selected from the target population, while the sample frame is the members of a population who have a chance of being included in the survey. In probability samples, each member of the sampling frame has a known probability of being selected for the study, whereas in nonprobability samples, the probability of selection is unknown. When a high degree of precision in sampling is needed to unambiguously identify the magnitude of a problem in a population or the factors that cause the problem, then probability sampling techniques must be used.

When conducting an analytical study that examines precisely whether statistically significant differences exist between groups in a population, power analysis is used to determine what size sample is needed to detect the differences. Estimates of sample size based on power are inversely related to the expected size of the differences “(effect size)”-that is, detecting smaller differences requires a larger sample. If an analytical study is undertaken to determine the magnitude of the differences between 2 groups, it is necessary to work with a statistician or other methodology expert to perform the appropriate power analysis. For a basic but valuable description of sample size estimation, see chapter 13 of Hulley and Cummings.21

 

 

In contrast to analytical studies, exploratory and descriptive studies can frequently be conducted without the need for a power analysis. While some descriptive studies may require the use of probability techniques and precise sample estimates, this often is not the case for studies that establish the existence of a problem or estimating its dimensions. When conducting an exploratory or descriptive study using a survey design and a nonprobability sampling technique, considerations other than effect size or precision are used to determine sample size. For example, the availability of eligible respondents, limitations of time and resources, and the need for pilot study data can all contribute to selecting a nonprobability sample. When these types of sampling techniques are used, however, it is important to remember that the validity and reliability of the findings are not assured, and the findings cannot be used to demonstrate the existence of differences between groups. The findings of these types of studies are only suggestive and have limited application beyond the specific study setting.

Response rate

The response rate is a measure indicating the percentage of the identified sample that completed and returned the questionnaire. It is calculated by dividing the number of completed questionnaires by the total sample size identified for the study. For example, if a study is mailed to 500 physicians questionnaires and 100 returned a completed questionnaire, the response rate would be 20% (100/500).

The response rate for mailed questionnaires is extremely variable. Charities are generally content with a 1% to 3% response rate, the US Census Bureau expects to achieve a 99% rate, and among the general population, a 10% response rate is not uncommon. Although an 80% response rate is possible from an extremely motivated population, a rate of 70% is generally considered excellent.34

The effect of nonresponse on the results of a survey depend on the degree to which those not responding are systematically different from the population from which they are drawn.24 When the response rate is high (ie, 95%), the results obtained from the sample will likely provide accurate information about the target population (sampling frame) even if the nonrespondents are distinctly different. However, if nonrespondents differ in a systematic way from the target population and the response rate is low, bias in how much the survey results accurately reflect the true characteristics of the target population is likely.

When calculating the response rate, participants who have died or retired can be removed from the denominator as appropriate. Nonrespondents, however, who refuse to participate, do not return the survey, or have moved should be included. This bias tends to be more problematic in “sensitive” areas of research37 than in studies of common, nonthreatening topics.38 Imputing values for missing data from nonrespondents is complex and generally should not be undertaken.39

Given the importance of response rate, every effort must be made to obtain as many completed questionnaires as possible and strategies to maximize the response rate should be integrated into the study design (see Dillman23 for a useful discussion of successful strategies). Some simple means for improving response rates include constructing a short questionnaire, sending a well-written and personalized cover letter containing your signature, and emphasizing the importance of the study and the confidentiality of responses. It is also advisable to include a self-addressed, stamped envelope for return responses, and sometimes a small incentive is worthwhile. The National Center for Education Statistics notes that all surveys require some follow-up to achieve desirable response rates.40 Survey researchers, therefore, should develop procedures for monitoring responses and implement follow-up plans shortly after the survey begins.

Generally, 2 or 3 mailings are used to maximize response rates. Use of post card reminders is an inexpensive, though untested, method to increase response. Several randomized studies have reported an increase in response rate from physicians in private practice with the use of monetary incentives, although the optimum amount is debated. Everett et al40 compared the use of a $1 incentive vs no monetary incentive and found a significant increase with the incentive group (response rates: 63% in the $1 group; 45% in the no incentive group; P < .0001).41 Other studies have compared $2, $5, $10, $20, and $25 incentives and found that $2 or $5 incentives are most cost effective.4245 Similar findings have been reported for physician surveys in other countries.31,46 In an assessment of incentive for enrollees in a health plan, a $2 incentive was more cost effective than a $5 incentive.47 A $1 incentive was as effective as $2 in significantly increasing response rate in a low-income population.48 Quality of responses have not varied by use of incentives and there does not appear to be an incentive-bias.

 

 

Use of lottery appears to also increase response rate in both physicians and the lay public, although there are no studies comparing lottery to a monetary incentive enclosed for all participants.31,49 Use of either certified or priority return mail appears to increase response rates, and may be more cost effective when used for the second mailing.45,48

Pilot testing

Though pilot testing is generally included in the development of a survey, it is often inadequately conducted Figure F Final Preparation). Frequently, investigators are eager to answer their research question and pilot testing is synonymous with letting a few colleagues take a quick look and make a few comments. Table 2 illustrates a problem that could have been avoided with proper pilot testing.10 One of the questions in the survey asked about how time is allotted for faculty to pursue scholarly activities and research (Format A). Unfortunately, the question mixes 2 types of time in 1 question: extended time away from the institution (sabbatical and mini-sabbatical) and time in the routine schedule. This was confusing to respondents and could have been avoided by separating the content into 2 separate questions (Format B).

Investigators should consider carefully whom to include in the pilot testing. Not only should this include the project team and survey “experts”, but it should also include a sample of the target audience. Pilot testing among multiple groups provides feedback about the wording and clarity of questions, appropriateness of the questions for the target population, and the presence of redundant or unnecessary items.

Conclusions

One of the authors (C.R.W.) recently worked on her first questionnaire project. Among the many lessons she learned was the value of a team in providing assistance, the importance of considering if the time spent on a particular activity makes it cost effective, and the need to be flexible depending on circumstances. She found that establishing good communication with the team cuts down on errors and wasted effort. Rewarding the team for all of their hard work improves morale and provides a positive model for future projects.

The mailed self-administered questionnaire is an important tool in primary care research. For family practice to continue its maturation as a research discipline, family practitioners need to be conversant in survey methodology and familiar with its pitfalls. We hope this primer-designed specifically for use in the family practice setting-will provide not only basic guidelines for novices but will also inspire further investigation.

Acknowledgments

The authors thank Laura Snell, MPH, for her thoughtful review of the manuscript. We also thank Olive Chen, PhD, for research assistance and Janice Rookstool for manuscript preparation.

References

1. Siebert C, Lipsett LF, Greenblatt J, Silverman RE. Survey of physician practice behaviors related to diabetes mellitus in the U.S. I. Design and methods. Diabetes Care 1993;16:759-64.

2. Weller AC. Editorial peer review: methodology and data collection. Bull Med Libr Assoc 1990;78:258-70.

3. Myerson S. Improving the response rates in primary care research. Some methods used in a survey on stress in general practice since the new contract (1990). Fam Pract 1993;10:342-6.

4. PsycINFO: your source for psychological abstracts. PsycINFO Web site. Available at: http://www.apa.org/psycinfo. Accessed April 11, 2002.

5. Converse JM, Presser S. Survey Questions: Handcrafting The Standardized Questionnaire. Quantitative Applications in the Social Sciences. Newbury Park, CA: Sage Publications; 1986.

6. Cox J. Your Opinion, Please!: How to Build the Best Questionnaires in the Field of Education. Thousand Oaks, CA: Corwin Press; 1996.

7. Fink A. ed The Survey Kit. Thousand Oaks, CA: Sage Publications; 1995.

8. Fowler F. Survey Research Methods. Applied Social Research Methods Series. Newbury Park, CA: Sage Publications; 1991.

9. Fowler F. Improving Survey Questions. Applied Social Research Methods Series. Newbury Park, CA: Sage Publications; 1995.

10. Oeffinger KC, Roaten SP, , Jr. Ader DN, Buchanan RJ. Support and rewards for scholarly activity in family medicine: a national survey. Fam Med 1997;29:508-12.

11. Oeffinger KC, Snell LM, Foster BM, Panico KG, Archer RK. Diagnosis of acute bronchitis in adults: a national survey of family physicians.  J Fam Pract 1997;45:402-9.

12. Oeffinger KC, Snell LM, Foster BM, Panico KG, Archer RK. Treatment of acute bronchitis in adults. A national survey of family physicians. J Fam Pract 1998;46:469-75.

13. Oeffinger KC, Eshelman DA, Tomlinson GE, Buchanan GR. Programs for adult survivors of childhood cancer. J Clin Oncol 1998;16:2864-7.

14. Robinson MK, DeHaven MJ, Koch KA. The effects of the patient self-determination act on patient knowledge and behavior. J Fam Pract 1993;37:363-8.

15. Murphee DD, DeHaven MJ. Does grandma need condoms: condom use among women in a family practice setting. Arch Fam Med 1995;4:233-8.

16. DeHaven MJ, Wilson GR, Murphee DD, Grundig JP. An examination of family medicine residency program director’s views on research. Fam Med 1997;29:33-8.

17. Smith GE, DeHaven MJ, Grundig JP, Wilson GR. African-American males and prostate cancer: assessing knowledge levels in the community. J Natl Med Assoc 1997;89:387-91.

18. DeHaven MJ, Wilson GR, O’Connor PO. Creating a research culture: what we can learn from residencies that are successful in research. Fam Med 1998;30:501-7.

19. Koch KA, DeHaven MJ, Robinson MK. Futility: it’s magic. Clinical Pulmonary Medicine 1998;5:358-63.

20. Rogers J. Family medicine research: a matter of values and vision. Fam Med 1995;27:180-1.

21. Hulley SB, Cummings S, eds. Designing Clinical Research: An Epidemiological Approach. Baltimore, MD: Williams & Wilkins; 1988.

22. Babbie E. Survey research methods. Belmont, CA: Wadsworth Publishing; 1973.

23. Dillman DA. Mail and Telephone Surveys: The Total Design Method. New York: John Wiley & Sons; 1978.

24. Carmines EG, Zeller R. Reliability and Validity Assessment. Quantitative Applications in the Social Sciences, 17. Newbury Park, CA: Sage Publications; 1979.

25. Preston CC, Colman AM. Optimal number of response categories in rating scales: reliability, validity, discriminating power, and respondent p. Acta Psychol (Amst) 2000;104:1-15.

26. Bandalos DL, Enders CK. The effects of non-normality and number of response categories on reliability. Appl Meas Ed 1996;9:151-60.

27. Cicchetti DV, Showalter D, Tyrer PJ. The effect of number of rating scale categories on levels of interrater reliability: a Monte Carlo investigation. Appl Psychol Meas 1985;9:31-6.

28. Nunnally JC. Psychometric Theory. New York: McGraw-Hill; 1967.

29. Likert R. A technique for the measurement of attitudes. Arch Psychol 1932;140:55.-

30. Matell MS, Jacoby J. Is there an optimal number of alternatives for Likert scale items? Effects of testing time and scale properties. J Appl Psychol 1972;56:506-9.

31. Kalantar JS, Talley NJ. The effects of lottery incentive and length of questionnaire on health survey response rates: a randomized study. J Clin Epidemiol 1999;52:1117-22.

32. Yammarino FJ, Skinner SJ, Childers TL. Understanding mail survey response behavior: a meta-analysis. Public Opin Q 1991;55:613-39.

33. Bailey KD. Methods of Social Research. New York: The Free Press; 1994.

34. Backstrom CH, Hursh-Cesar G. Survey Research. 2nd ed. New York: John Wiley & Sons; 1981.

35. Babbie E. The Practice of Social Research. Belmont, CA: Wadsworth Publishing; 1989.

36. Fowler FJ. Survey Research Methods. Applied Social Research Methods, Volume 1. Newbury Park, CA: Sage Publications; 1988.

37. Hill A, Roberts J, Ewings P, Gunnell D. Non-response bias in a lifestyle survey. J Public Health Med 1997;19:203-7.

38. O’Neill TW, Marsden D, Silman AJ. Differences in the characteristics of responders and non-responders in a prevalence survey of vertebral osteoporosis. European Vertebral Osteoporosis Study Group. Osteoporos Int 1995;5:327-34.

39. Jones J. The effects of non-response on statistical inference. J Health Soc Policy 1996;8:49-62.

40. National Center for Education Statistics. Standard for achieving acceptable survey response rates, NCES Standard: II-04-92. 2001. Available at: http://www.nces.ed.gov/statprog/Stand11_04.asp. Last accessed April 11, 2002.

41. Everett SA, Price JH, Bedell AW, Telljohann SK. The effect of a monetary incentive in increasing the return rate of a survey to family physicians. Eval Health Prof 1997;20:207-14.

42. Asch DA, Christakis NA, Ubel PA. Conducting physician mail surveys on a limited budget. A randomized trial comparing $2 bill versus $5 bill incentives. Med Care 1998;36:95-9.

43. VanGeest JB, Wynia MK, Cummins DS, Wilson IB. Effects of different monetary incentives on the return rate of a national mail survey of physicians. Med Care 2001;39:197-201.

44. Tambor ES, Chase GA, Faden RR, Geller G, Hofman KJ, Holtzman NA. Improving response rates through incentive and follow-up: the effect on a survey of physicians’ knowledge of genetics. Am J Public Health 1993;83:1599-603.

45. Kasprzyk D, Montano DE, St Lawrence JS, Phillips WR. The effects of variations in mode of delivery and monetary incentive on physicians’ responses to a mailed survey assessing STD practice patterns. Eval Health Prof 2001;24:3-17.

46. Deehan A, Templeton L, Taylor C, Drummond C, Strang J. The effect of cash and other financial inducements on the response rate of general practitioners in a national postal study. Br J Gen Pract 1997;47(415):87-90.

47. Shaw MJ, Beebe TJ, Jensen HL, Adlis SA. The use of monetary incentives in a community survey: impact on response rates, data quality, and cost. Health Serv Res 2001;35:1339-46.

48. Gibson PJ, Koepsell TD, Diehr P, Hale C. Increasing response rates for mailed surveys of Medicaid clients and other low-income populations. Am J Epidemiol 1999;149:1057-62.

49. Baron G, De Wals P, Milord F. Cost-effectiveness of a lottery for increasing physicians’ responses to a mail survey. Eval Health Prof 2001;24:47-52.

Address correspondence to Cristen R. Wall, MD, The University of Texas Southwestern Medical Center, Department of Family Practice and Community Medicine, 6263 Harry Hines Boulevard, Dallas, TX 75390-9067. E-mail: Cristen.Wall@UTSouthwestern.edu.

To submit a letter to the editor on this topic, click here:jfp@fammed.uc.edu.

References

1. Siebert C, Lipsett LF, Greenblatt J, Silverman RE. Survey of physician practice behaviors related to diabetes mellitus in the U.S. I. Design and methods. Diabetes Care 1993;16:759-64.

2. Weller AC. Editorial peer review: methodology and data collection. Bull Med Libr Assoc 1990;78:258-70.

3. Myerson S. Improving the response rates in primary care research. Some methods used in a survey on stress in general practice since the new contract (1990). Fam Pract 1993;10:342-6.

4. PsycINFO: your source for psychological abstracts. PsycINFO Web site. Available at: http://www.apa.org/psycinfo. Accessed April 11, 2002.

5. Converse JM, Presser S. Survey Questions: Handcrafting The Standardized Questionnaire. Quantitative Applications in the Social Sciences. Newbury Park, CA: Sage Publications; 1986.

6. Cox J. Your Opinion, Please!: How to Build the Best Questionnaires in the Field of Education. Thousand Oaks, CA: Corwin Press; 1996.

7. Fink A. ed The Survey Kit. Thousand Oaks, CA: Sage Publications; 1995.

8. Fowler F. Survey Research Methods. Applied Social Research Methods Series. Newbury Park, CA: Sage Publications; 1991.

9. Fowler F. Improving Survey Questions. Applied Social Research Methods Series. Newbury Park, CA: Sage Publications; 1995.

10. Oeffinger KC, Roaten SP, , Jr. Ader DN, Buchanan RJ. Support and rewards for scholarly activity in family medicine: a national survey. Fam Med 1997;29:508-12.

11. Oeffinger KC, Snell LM, Foster BM, Panico KG, Archer RK. Diagnosis of acute bronchitis in adults: a national survey of family physicians.  J Fam Pract 1997;45:402-9.

12. Oeffinger KC, Snell LM, Foster BM, Panico KG, Archer RK. Treatment of acute bronchitis in adults. A national survey of family physicians. J Fam Pract 1998;46:469-75.

13. Oeffinger KC, Eshelman DA, Tomlinson GE, Buchanan GR. Programs for adult survivors of childhood cancer. J Clin Oncol 1998;16:2864-7.

14. Robinson MK, DeHaven MJ, Koch KA. The effects of the patient self-determination act on patient knowledge and behavior. J Fam Pract 1993;37:363-8.

15. Murphee DD, DeHaven MJ. Does grandma need condoms: condom use among women in a family practice setting. Arch Fam Med 1995;4:233-8.

16. DeHaven MJ, Wilson GR, Murphee DD, Grundig JP. An examination of family medicine residency program director’s views on research. Fam Med 1997;29:33-8.

17. Smith GE, DeHaven MJ, Grundig JP, Wilson GR. African-American males and prostate cancer: assessing knowledge levels in the community. J Natl Med Assoc 1997;89:387-91.

18. DeHaven MJ, Wilson GR, O’Connor PO. Creating a research culture: what we can learn from residencies that are successful in research. Fam Med 1998;30:501-7.

19. Koch KA, DeHaven MJ, Robinson MK. Futility: it’s magic. Clinical Pulmonary Medicine 1998;5:358-63.

20. Rogers J. Family medicine research: a matter of values and vision. Fam Med 1995;27:180-1.

21. Hulley SB, Cummings S, eds. Designing Clinical Research: An Epidemiological Approach. Baltimore, MD: Williams & Wilkins; 1988.

22. Babbie E. Survey research methods. Belmont, CA: Wadsworth Publishing; 1973.

23. Dillman DA. Mail and Telephone Surveys: The Total Design Method. New York: John Wiley & Sons; 1978.

24. Carmines EG, Zeller R. Reliability and Validity Assessment. Quantitative Applications in the Social Sciences, 17. Newbury Park, CA: Sage Publications; 1979.

25. Preston CC, Colman AM. Optimal number of response categories in rating scales: reliability, validity, discriminating power, and respondent p. Acta Psychol (Amst) 2000;104:1-15.

26. Bandalos DL, Enders CK. The effects of non-normality and number of response categories on reliability. Appl Meas Ed 1996;9:151-60.

27. Cicchetti DV, Showalter D, Tyrer PJ. The effect of number of rating scale categories on levels of interrater reliability: a Monte Carlo investigation. Appl Psychol Meas 1985;9:31-6.

28. Nunnally JC. Psychometric Theory. New York: McGraw-Hill; 1967.

29. Likert R. A technique for the measurement of attitudes. Arch Psychol 1932;140:55.-

30. Matell MS, Jacoby J. Is there an optimal number of alternatives for Likert scale items? Effects of testing time and scale properties. J Appl Psychol 1972;56:506-9.

31. Kalantar JS, Talley NJ. The effects of lottery incentive and length of questionnaire on health survey response rates: a randomized study. J Clin Epidemiol 1999;52:1117-22.

32. Yammarino FJ, Skinner SJ, Childers TL. Understanding mail survey response behavior: a meta-analysis. Public Opin Q 1991;55:613-39.

33. Bailey KD. Methods of Social Research. New York: The Free Press; 1994.

34. Backstrom CH, Hursh-Cesar G. Survey Research. 2nd ed. New York: John Wiley & Sons; 1981.

35. Babbie E. The Practice of Social Research. Belmont, CA: Wadsworth Publishing; 1989.

36. Fowler FJ. Survey Research Methods. Applied Social Research Methods, Volume 1. Newbury Park, CA: Sage Publications; 1988.

37. Hill A, Roberts J, Ewings P, Gunnell D. Non-response bias in a lifestyle survey. J Public Health Med 1997;19:203-7.

38. O’Neill TW, Marsden D, Silman AJ. Differences in the characteristics of responders and non-responders in a prevalence survey of vertebral osteoporosis. European Vertebral Osteoporosis Study Group. Osteoporos Int 1995;5:327-34.

39. Jones J. The effects of non-response on statistical inference. J Health Soc Policy 1996;8:49-62.

40. National Center for Education Statistics. Standard for achieving acceptable survey response rates, NCES Standard: II-04-92. 2001. Available at: http://www.nces.ed.gov/statprog/Stand11_04.asp. Last accessed April 11, 2002.

41. Everett SA, Price JH, Bedell AW, Telljohann SK. The effect of a monetary incentive in increasing the return rate of a survey to family physicians. Eval Health Prof 1997;20:207-14.

42. Asch DA, Christakis NA, Ubel PA. Conducting physician mail surveys on a limited budget. A randomized trial comparing $2 bill versus $5 bill incentives. Med Care 1998;36:95-9.

43. VanGeest JB, Wynia MK, Cummins DS, Wilson IB. Effects of different monetary incentives on the return rate of a national mail survey of physicians. Med Care 2001;39:197-201.

44. Tambor ES, Chase GA, Faden RR, Geller G, Hofman KJ, Holtzman NA. Improving response rates through incentive and follow-up: the effect on a survey of physicians’ knowledge of genetics. Am J Public Health 1993;83:1599-603.

45. Kasprzyk D, Montano DE, St Lawrence JS, Phillips WR. The effects of variations in mode of delivery and monetary incentive on physicians’ responses to a mailed survey assessing STD practice patterns. Eval Health Prof 2001;24:3-17.

46. Deehan A, Templeton L, Taylor C, Drummond C, Strang J. The effect of cash and other financial inducements on the response rate of general practitioners in a national postal study. Br J Gen Pract 1997;47(415):87-90.

47. Shaw MJ, Beebe TJ, Jensen HL, Adlis SA. The use of monetary incentives in a community survey: impact on response rates, data quality, and cost. Health Serv Res 2001;35:1339-46.

48. Gibson PJ, Koepsell TD, Diehr P, Hale C. Increasing response rates for mailed surveys of Medicaid clients and other low-income populations. Am J Epidemiol 1999;149:1057-62.

49. Baron G, De Wals P, Milord F. Cost-effectiveness of a lottery for increasing physicians’ responses to a mail survey. Eval Health Prof 2001;24:47-52.

Address correspondence to Cristen R. Wall, MD, The University of Texas Southwestern Medical Center, Department of Family Practice and Community Medicine, 6263 Harry Hines Boulevard, Dallas, TX 75390-9067. E-mail: Cristen.Wall@UTSouthwestern.edu.

To submit a letter to the editor on this topic, click here:jfp@fammed.uc.edu.

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Providing Primary Care for Long-Term Survivors of Childhood Acute Lymphoblastic Leukemia

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Providing Primary Care for Long-Term Survivors of Childhood Acute Lymphoblastic Leukemia

Acute lymphoblastic leukemia (ALL), the most common childhood malignancy, accounts for almost one fourth of childhood cancers.1 The incidence of ALL has shown a moderate increase in the past 20 years. It is generally considered a cancer of younger children, with a peak incidence between the ages of 2 and 5 years. It is approximately 30% more common in boys than girls and approximately twice as common in white children as in black children. Improvements in ALL treatment during the past 20 years have increased the overall survival rate to approximately 80%. Thus, success in “curing” this childhood disease has resulted in a growing population of long-term survivors.

Since it is anticipated that the majority of long-term survivors of childhood ALL will seek health care from primary care physicians, it is important to understand the potential health problems that these patients may experience secondary to their cancer treatment.2-4 However, there are no articles in peer-reviewed family practice journals concerning the long-term follow-up of survivors of childhood ALL. Our clinical review briefly describes the evolution of the treatment for ALL, potential late effects of treatment, and recommendations for screening asymptomatic long-term survivors. Because this field of investigation is rapidly advancing and much of the available information is from cross-sectional and small cohort studies, these recommendations should not be viewed as a set of guidelines. Instead, our review is intended to contribute a foundation for primary care physicians providing longitudinal health care for ALL survivors while highlighting the areas needing further investigation. Also, because of the evolving changes in treatment protocols—and thus in potential late effects—it is essential to frequently communicate with our colleagues who specialize in the treatment of children with cancer.

Evolution of treatment for childhood all

During the 1940s childhood leukemias had a uniformly rapid fatal course over a short period of time, thus the designation of the term “acute.”5 In the late 1940s, Farber and colleagues6 found that aminopterin (a folic acid antagonist) could induce temporary remissions in leukemia. This discovery opened the era of clinical investigation into the uses of combined chemotherapy in treating childhood ALL Figure 1. The use of antimetabolite therapy for prolonged periods started in the late 1950s and early 1960s and suggested that it was possible for children to have an extended period of remission and possibly be cured. The addition of anthracyclines such as daunorubicin in the 1970s and the discovery that the enzyme L-asparaginase was useful in ALL therapy for depleting cells of the essential amino acid L-asparagine further boosted the ability to induce and sustain remission.7

A significant factor in morbidity and mortality from childhood ALL was the development of leukemia within the central nervous system (CNS). Left untreated, more than half the children with ALL developed leukemia in the CNS, even when bone marrow remission was sustained. In most patients, CNS relapse was followed by bone marrow relapse. Prophylactic radiation to the head and spine, introduced in the early 1970s, significantly decreased the incidence of CNS leukemia and resulted in significant advancement in long-term survival. However, in the early 1980s—as a consequence of the appreciation of neurodevelopmental delays and cognitive dysfunction secondary to relatively higher-dose (24 Gy) cranial irradiation (CRT), different methods of CNS treatment and prophylaxis evolved, either using lower-dose CRT (18 Gy), intensification of systemic methotrexate (MTX) dosaging, or intrathecal medications.8-11

Current treatment regimens divide therapy into remission induction, consolidation and CNS prophylaxis, and maintenance or continuous treatment. Induction chemotherapy (aimed at an initial reduction in blast cell percentage in the bone marrow to 5% or lower) consists of a 1-month schedule of vincristine, prednisone, and L-asparaginase alone or with other agents. Following induction, a consolidation phase consisting of an intensified period of treatment combines the use of antimetabolites and other agents with intrathecal chemotherapy for CNS prophylaxis. Maintenance therapy continues for a period of approximately 2 years and relies heavily on the use of methotrexate and 6-mercaptopurine. During the past 2 decades, recognized differences in the phenotype of the leukemic cells have resulted in protocol modifications to improve outcome and reduce toxicity. Increasingly, the T-cell phenotype of childhood ALL has been treated more effectively with intensified regimens that include cyclophosphamide, cytarabine, and anthracylines.12,13

Late effects of treatment for childhood all

A late effect is defined as any chronic or late occurring physical or psychosocial outcome persisting or developing more than 5 years after diagnosis of the cancer. In this section we describe potential late effects in order from more common or serious health problems to less common or serious ones Table 1. Many of these late effects may have long asymptomatic intervals before end-stage disease or serious health outcomes, such as survivors with hepatitis C who develop cirrhosis or those with a late-onset cardiomyopathy who present in congestive heart failure. Included in each section is a discussion about the screening tests commonly used in long-term follow-up programs that include asymptomatic survivors4Table 2. It should be stressed that the value of most of these tests has not been studied in this population in a prospective or a well-designed retrospective manner with adequate sample sizes, which limits the strength of the recommendations. Clinicians should be selective in ordering tests and providing preventive services and should actively incorporate the patient’s concerns and fears when arriving at an individualized decision on whether to perform a test. Figure 2 is a compilation of information pertinent to the follow-up of a survivor of childhood ALL, provided as a single-page template for clinical use.

 

 

Because bone marrow transplantation (BMT) is a relatively new therapy affecting a much smaller number of ALL survivors, our review does not include the late effects related to total body irradiation and BMT.

Cognitive dysfunction and performance at school and work

As described in the section on the evolution of treatment, 24 Gy CRT is associated with cognitive dysfunction. A meta-analysis of more than 30 retrospective and prospective studies established that 24 Gy CRT in combination with MTX resulted in a mean decrease of 10 points in full-scale intelligence quotient (IQ).9 Verbal scores were affected more than performance IQ, and changes were noted to be progressive. Although more than half the patients had mild to moderate learning problems, the outcomes were highly variable, and some patients experienced 20- to 30-point losses, while others had no discernable changes.9,14 Deficits have been noted in measures of visual-spatial abilities, attention-concentration, nonverbal memory, and somatosensory functioning.8-10,15-20 Studies have also shown that girls and patients treated with CRT before the age of 4 years are at significantly higher risk. Neuropathologic changes resulting from 24 Gy CRT include leukoencephalopathy, mineralizing microangiopathy, subacute necrotizing leukomyelopathy, and intracerebral calcifications, commonly with subsequent cerebral atrophy and microcephally.21,22

Treatment with 18 Gy CRT in combination with chemotherapy also affects cognition, though not as profoundly as with 24 Gy CRT. In a retrospective study of children with ALL, randomized by risk group to receive either 18 Gy CRT with chemotherapy or chemotherapy alone, 66 survivors were subsequently tested using several cognitive measures.23 Girls who were treated with CRT/chemotherapy had a mean IQ 9 points lower than those treated with chemotherapy alone. All patients had impairments in verbal coding and short-term memory regardless of CRT use or MTX dose, suggesting that another agent such as glucocorticoids may be responsible. Other small prospective and retrospective studies have found a mild decrease in full-scale IQ in patients treated with 18 Gy CRT/chemotherapy, although subanalysis generally showed that changes were only significant for girls and patients treated at a younger age.24-27

Recent studies suggest that neurodevelopmental outcomes for survivors treated with chemotherapy alone are generally positive.28 An analysis of 30 survivors whose condition was diagnosed before the age of 12 months showed no decrease in 6 cognitive and motor indices and no sex differences.29 Though full-scale IQ was normal, Brown and colleagues30 reported that girls had significantly decreased nonverbal scores in a study of 47 ALL survivors. Fine motor disturbances and manual dexterity difficulties, which may compound learning difficulties, have been seen in 25% to 33% of ALL survivors evaluated in 2 small cross-sectional studies.31,32 Changes in cerebellar-frontal subsystems that correlate with neuropsychological deficits have also been seen in ALL patients treated with chemotherapy alone.33

The Children’s Cancer Group investigated the impact of treatment on scholastic performance of 593 adult survivors, compared with 409 sibling controls.34 Patients treated with 24 Gy CRT were more likely to enter special education or learning-disabled programs, with relative risks of 4.1 and 5.3, respectively. Previous treatment with 18 Gy CRT had less impact, with a relative risk of 4.0 to enter a special education program but no increased risk of entering a learning-disabled program. Patients treated with CRT (18 or 24 Gy) were just as likely to enter gifted and talented programs as their sibling controls. In general, survivors were as likely to finish high school and enter college as controls, but those treated with 24 Gy or treated before the age of 6 years were less likely to enter college. There were no sex differences in educational achievements.

There are no studies that explore problems in job acquisition, promotion, and retention for ALL survivors with evidence of cognitive dysfunction. Abstract thinking abilities in higher-level decision making may be problematic for some ALL survivors, particularly those treated with 24 Gy CRT. Further study is warranted, particularly in evaluating methods to assist at-risk survivors in developing job skills and applying for a job.

Obesity, physical inactivity, and risk of premature cardiovascular disease

Several retrospective cohort and cross-sectional studies have shown an increased incidence and prevalence of obesity in ALL survivors. Early studies suggested that the resulting obesity was secondary to CRT, with 38% to 57% of the survivors having a body mass index (BMI) >2 standard deviations (SDs) above the norm at the time of attainment of final height.35-38 Two recent cross-sectional studies suggest that the increased prevalence of obesity may be due to other factors. Van Dongen-Melman and coworkers39 compared the weight gain and BMI of 113 ALL survivors who had received CRT/chemotherapy or chemotherapy alone and found that children treated with a combination of prednisone and dexamethasone had the highest prevalence of obesity (44%).39 Talvensaari and colleagues40 evaluated 50 childhood cancer survivors with a median age of 18 years (including 28 ALL patients) and found an increased prevalence of obesity in survivors that was not associated with CRT.

 

 

Obesity in ALL survivors may be due in part to reduced physical activity. In a small cross-sectional study with sibling controls, ALL survivors had decreased activity levels and total daily energy expenditures that correlated with their percentage of body fat.41 Maximal and submaximal exercise capacity were reduced in another cross-sectional study.42 Similarly, in a study of 53 ALL survivors with a longer interval from ALL diagnosis (mean=10.5 years), 25% and 31%, respectively, were unable to reach normal maximal oxygen uptake and normal oxygen uptake at the anaerobic threshold.43

Changes in gross motor skills may also affect the physical activity level of ALL survivors. Balance, strength, running speed and agility, and hand grip strength were decreased in a cohort of 36 ALL survivors with a median age of 9.3 years.44 In a follow-up of this cohort, Wright and coworkers45 reported that the ALL survivors had significantly less active and passive dorsiflexion range of motion of the ankle than did controls. Younger age at diagnosis and female sex were significant predictors, while treatment with CRT did not increase risk. These studies suggest that ALL survivors should be assessed for gross motor deficits that might alter exercise choices.

In the general population, obesity and physical inactivity are risk factors for cardiovascular disease. Obesity (an especially important risk factor during young adulthood) enhances the development of hypertension, dyslipidemia, and insulin resistance.46-48 Because the median age of ALL survivors is still relatively young, there are no cohort or case-control studies evaluating the treatment-related risk of premature onset of coronary artery disease. Talvensaari and coworkers40 reported that 50 childhood cancer survivors (including 28 ALL survivors) had an increased risk of fasting hyperinsulinemia and reduced high-density lipoprotein (HDL) cholesterol compared with 50 age- and sex-matched controls. Eight of the cancer survivors with reduced spontaneous growth hormone (GH) secretion (4/8 had received CRT) had obesity, hyperinsulinemia, and reduced HDL cholesterol, fitting the criteria for cardiac dysmetabolic syndrome, a clustering of metabolic problems associated with a markedly increased risk of cardiovascular disease.49

Studies of noncancer populations may shed light on the cardiovascular risk of ALL survivors with GH deficiency. Hypopituitarism with GH deficiency in adults is associated with increased vascular mortality.50-52 Adults with GH deficiency also have an increased prevalence of dyslipidemia53,54 and insulin resistance,55 that may improve with GH therapy.56,57

Counseling on the benefits of proper diet and exercise is an important component of long-term care for ALL survivors. Periodic analysis of lipoproteins has not been prospectively studied in ALL survivors, but the US Preventive Services Task Force states that adolescents and young adults who have major risk factors for cardiovascular disease should be screened.58

Psychosocial well-being of all survivors

The long-term psychosocial welfare of ALL survivors is complex. A population-based sibling-matched control study of 93 ALL survivors who were at least 15 years postdiagnosis showed no difference in quality of life or mental health.59 Similarly, no differences were found in symptoms of anxiety and posttraumatic stress in 130 leukemia survivors and 155 controls.60 In contrast, a large cooperative study of the Children’s Cancer Group and the National Institutes of Health evaluated 580 adult survivors and 396 sibling controls and reported that survivors had greater negative mood and reported more tension, depression, anger, and confusion.61 Female, minority, and unemployed survivors reported the highest total mood disturbance. Issues related to late effects, especially cognitive dysfunction, obesity, and physical inactivity, may have an impact on the mental health of survivors.

Few data are available on the risk behavior of ALL survivors. In a cohort study of 592 young adult ALL survivors and 409 sibling controls, Tao and colleagues62 reported that ALL survivors were less likely to start smoking, but once they started they were no more likely to quit than their siblings. Fourteen percent of the ALL survivors were smokers. Although no prospective studies have evaluated the effect of smoking on the incidence and severity of late effects of ALL treatment, it will have an impact on survivors with cardiovascular risk factors, restrictive pulmonary disease, and osteopenia. Counseling on smoking cessation is imperative in the long-term health care of ALL survivors.

Osteopenia and osteoporosis

Several well-designed small to medium-size cross-sectional studies of childhood cancer survivors63-65 and ALL survivors66-71 with median ages at evaluation ranging from 12 to 25 years consistently showed reduction in bone mineral density, bone mass content (BMC), and/or age-adjusted bone mass. Age at diagnosis, interval since treatment, sex, and cumulative dosages of MTX and corticosteroids have not been consistently associated with reduction in bone mass. In contrast, CRT has consistently been identified as a risk factor, although the 3 studies that evaluated GH status showed variation in the relationship of GH deficiency and reduced bone mass.69-71 Impairment of peak bone mass is likely multifactorial in etiology, with predisposing risk factors including altered bone metabolism at the time of onset of leukemia, interference in bone metabolism by corticosteroids and MTX, and impaired bone growth and skeletal maturation caused by pituitary dysfunction/GH deficiency. In an ongoing prospective cohort study, Atkinson and coworkers72 reported that by 6 months of therapy for ALL, 64% of the children had a reduction from baseline measures of BMC, and by the end of 2 years of therapy 83% were osteopenic. Hypomagnesemia due to renal wasting of magnesium after treatment with high-dose corticosteroids and/or aminoglycosides was associated with the progression in changes and may be a key factor in the alteration of bone metabolism.

 

 

Reduction in peak bone mass in young adults is a significant risk factor for developing osteoporosis and subsequent fracture, and measures to prevent or reverse bone loss are important. Exercise increases bone density in obese children73 and young adults74 and has recently been shown by meta-analysis75 to prevent or reverse almost 1% of bone loss per year in pre- and postmenopausal women. With ALL survivors likely to be less physically active,41-43 it is essential to counsel them on the benefits of exercise in preventing cardiovascular disease and osteoporosis and help them develop an exercise plan. Additionally, counseling on calcium intake and avoidance of smoking is important. Though bone densitometry has not been an effective screening test for the general population, it has value in high-risk groups.76,77 Prospective randomized trials are needed to evaluate the usefulness and frequency of screening.

GH deficiency

Cross-sectional and longitudinal studies have consistently shown that patients treated with 24 Gy CRT have a decrease in median height of approximately 1 to 1.5 SD score, or 5 to 10 cm.37,78-84 Treatment with 18 Gy CRT85 or chemotherapy alone86,87 affect the final height to a lesser degree. Sklar and coworkers88 reported a change in final height SD score of -0.65 for patients treated with 18 Gy CRT and -0.49 for those treated with chemotherapy alone. Girls and patients treated at a younger age (<5 years) have the greatest growth reduction.37,78,88,89 These changes are thought to be secondary to GH deficiency, resulting in a blunted pubertal growth spurt. The greater the deficiency, the more profound the impairment of growth.90 Brennan and colleagues71 reported a median decrement in final height of 2.1 SD in patients with severe GH deficiency. Treatment with GH in these patients usually results in near normalization of final height.

Though GH therapy is generally stopped when children reach their final height or by the age of 18 years, deficiency persists. In a small cross-sectional study of 30 ALL survivors, 9 of 15 patients who received 24 Gy CRT (median age=21.4 years) were GH deficient.91 In another cross-sectional analysis of the GH status of 32 ALL survivors (median age=23 years), 21 of 32 were GH deficient, including 9 who were severely deficient.71 The consequences of GH deficiency in adulthood are not well understood. Small studies suggest that GH replacement may improve bone mineral density,92 body composition,93 and quality of life.94

Late onset anthracycline-induced cardiomyopathy

Anthracyclines (notably daunorubicin and doxorubicin) are often used during the induction phase of treatment, with some protocols using moderate to high dosages (Ž350 mg/m2) for high-risk patients. In the past 10 years it has become apparent that childhood cancer patients treated with an anthracycline are at increased risk for developing late-onset cardiomyopathy.95-97 Classically, anthracycline-induced cardiomyopathy is characterized by elevated afterload followed by the development of a dilated thin-walled left ventricle. Over time this can lead to a stiff and poorly compliant left ventricle. Most patients are asymptomatic, but longitudinal studies suggest that a significant proportion will experience progressive changes and may develop congestive heart failure.96,97

Lipshultz and coworkers95 assessed the cardiac status of 115 ALL survivors treated with doxorubicin and found that 65% of those treated with 228 mg/m2 or more had increased left ventricular afterload.95 In a follow-up study, Lipshultz and colleagues96 reported that female sex, younger age at treatment, higher rate of administration of doxorubicin, and cumulative dose of doxorubicin were independent risk factors for the development of altered left ventricular function. Two recent cross-sectional studies suggest that the risk of left ventricular dysfunction is uncommon in children who received cumulative doses less than 300 mg per m2.98,99 In patients treated with cumulative doses less than 270 mg per m2, Sorensen and coworkers98 did not find that female sex and younger age at treatment were risk factors. However, because late cardiac abnormalities were seen in survivors who received only 90 mg per m2, there might be no absolute level below which cardiotoxicity can be prevented.

Because of the concerns about cardiotoxicity, most recent protocols limit anthracycline doses to less than 300 mg per m2, and the use of cardioprotectants such as dexrazoxane in children is under investigation.100 Primary care physicians who provide follow-up care for adult survivors should communicate with oncologists at the treating institution, obtain information about the cumulative dosage of anthracyclines, and discuss long-term screening. Because patients with anthracycline-induced cardiomyopathies generally have a prolonged asymptomatic interval before becoming symptomatic, interval screening is recommended. Optimal timing and testing modality for screening have not been prospectively studied. It is currently recommended that patients who received 300 mg/m2 or more of an anthracycline have a screening echocardiogram every 2 to 3 years to evaluate left ventricular function and shortening fraction.101 It is also important to question patients regarding symptoms of congestive heart failure and to aggressively evaluate them if present.

 

 

Hepatitis C

Because most ALL patients receive blood products during therapy, those treated before adequate blood donor screening for hepatitis C was initiated in the early 1990s are at risk for chronic liver disease.102 The prevalence of circulating hepatitis C virus (HCV) ribonucleic acid (RNA) in ALL patients treated in Italy before 1990 ranges from 23% to 49%.103-105 The natural history of ALL survivors with hepatitis C is not well understood. In an Italian study, only 4% of the 56 HCV-RNA seropositive patients had persistently elevated alanine aminotransferase (ALT) over the course of follow-up (mean=17 years).106 For a median of 14 years, 81 survivors of various childhood cancers who were HCV-RNA seropositive were followed, and none showed progression to liver failure.107 In contrast, Paul and coworkers108 reported that 12% of 75 leukemia survivors were anti-HCV positive, 6 of 9 had liver biopsies that showed at least moderate portal inflammation, and half had bridging fibrosis. The Centers for Disease Control and Prevention102 recommend universal screening with anti-HCV for all patients who received blood products before July 1992.

Second malignant neoplasms

Second malignant neoplasms (SMN) are rare in ALL survivors. Thirteen SMNs were diagnosed a median of 6.7 years from ALL diagnosis in a cohort study of 1597 ALL survivors and were associated with the use of radiation (8/13, CNS or head and neck) or chemotherapy (3/13, hematopoietic).109 The cumulative incidence of brain tumors at 20 years in a cohort of 1612 patients was only 1.39%, and more than half of these tumors were either low-grade or benign.110 CNS tumors did not occur in patients treated with chemotherapy alone. Thyroid tumors (predominantly papillary carcinoma) can rarely occur after treatment with cranial or craniospinal irradiation.111,112 Cases of basal cell carcinoma along the spinal axis have also been reported in patients treated with craniospinal irradiation.113,114

Therapy-related acute myelogenous leukemia (t-AML) has been seen following treatment of several childhood cancers, such as ALL and Hodgkin’s and non– Hodgkin’s lymphoma. Cohort studies have shown that agents with leukemogenic potential include alklyating agents and epidophyllotoxin chemotherapy.115-121 Most t-AMLs occur within 8 years of treatment, although cases occurring up to 13 years have been reported.115 Myelodysplasia (especially pancytopenia) generally precedes t-AML. The risk of t-AML following treatment for ALL has been small in 2 cohort studies.109,122 However, because precancerous states (myelodysplastic changes or myelodysplastic syndrome) are usually antecedent to t-AML and early diagnosis may improve outcomes, most institutions recommend obtaining a complete blood count (CBC) with a platelet count and a white blood cell differential in the routine follow-up of ALL survivors who have been treated with an alkylating agent, such as cyclophosphamide, or an epidophyllotoxin, such as etoposide. How long and how frequently a CBC should be obtained in follow-up of an ALL survivor have not been established.

Fertility and reproduction

Most antimetabolite-based treatment protocols for ALL do not affect long-term fertility for men or women.123,124 Craniospinal and abdominal irradiation have been associated with infertility in both sexes but are no longer used for ALL.125-127 Cyclophosphamide (an alkylating agent commonly used in earlier protocols but currently limited to high-risk patients) is also associated with infertility in a dosedependent fashion in both sexes.124,128,129 Resolution of germ-cell dysfunction may occur in men over time, but fertility remains poor for some. Women survivors treated with craniospinal or abdominal irradiation or with cyclophosphamide are at risk for ovarian failure and premature menopause and thus may be at increased risk for osteoporosis. If ovarian failure is suspected, measurement of follicle-stimulating hormone, luteinizing hormone, and serum estradiol and an evaluation by an endocrinologist should be considered.

ALL survivors should know that preliminary studies suggest that treatment is not associated with an increase in congenital malformations of their offspring. In a population-based prospective cohort study an increased rate of congenital defects was not found among 299 adult survivors.130

Ocular abnormalities

Ocular abnormalities in patients treated with CRT are common but generally asymptomatic. Two studies have evaluated the effect of CRT and systemic corticosteroids on the eyes. In a study of 82 ALL survivors who were a mean of 32 months after completion of therapy, 52% of the patients had posterior subcapsular cataracts (PSC) that were generally not visually significant and were not related to age at treatment or gender.131 Eighty-three percent of the 18 patients who had received CRT and systemic corticosteroids were noted to have asymptomatic ocular abnormalities after a median surveillance of 4.1 years.132 Optical densities of the lens were seen in 13 of the 18 of the survivors. There have been no published studies evaluating long-term survivors who received systemic corticosteroids without CRT. Periodic vision and cataract screening is recommended for ALL survivors treated with CRT and should be considered for all survivors of ALL until the risk of prolonged corticosteroid use in childhood is better understood.

 

 

Dental and periodontal disease

ALL survivors, especially those treated with CRT, are more likely to have problems with tooth development and be at risk for periodontal disease. In a large retrospective evaluation of dental records, 39.5% of ALL survivors had a dental abnormality, including root stunting (24.4%), microdontia (18.9%), or hypodontia (8.5%).133 Patients who were treated at an age younger than 8 years or who received CRT had more dental abnormalities than the other groups. Similar findings were seen in 2 smaller cross-sectional studies. Abnormal dental development occurred in 95% of all patients and 100% of patients aged 5 years or younger at diagnosis.134 Abnormalities included tooth agenesis, arrested tooth development, microdontia, and enamel dysplasia. Patients who received CRT and those treated at an age younger than 5 years had higher severity scores. Survivors did not have increased caries.135 However, patients younger than 5 years who were treated with cranial irradiation were found to have higher plaque and gingivitis scores, suggesting an increased risk of periodontal disease. A periodic dental and periodontal evaluation is recommended for survivors treated with CRT or at a young age.

Thyroid-related disorders

Following treatment with CRT, hypothyroidism infrequently occurs in ALL survivors through damage to the hypothalamic-pituitary-thyroid axis and/or the direct effect of radiation of the gland. Mohn and colleagues136 reported that 8 of 24 childhood ALL survivors who had received CRT (either 18 or 24 Gy) had either a low basal thyroid-stimulating hormone (TSH) or low peak TSH after thyrotropin-releasing hormone stimulation. Robison and colleagues137 reported that 10% of 175 ALL survivors who had been treated with either 18 or 24 Gy CRT or craniospinal radiation (CS-RT) therapy had a thyroid abnormality, including 5 children with primary hypothyroidism. Pasqualini and colleagues138 reported that 6 of 10 ALL survivors who received either CRT or CS-RT had subtle evidence of primary hypothyroidism. In contrast, 3 cross-sectional studies did not find evidence of primary hypothyroidism in 13, 31, and 64 patients, respectively.1,139-141 Littley and coworkers142 suggest that hypopituitarism is commonly underdiagnosed secondary to the subtle manifestations and insidious progression of disease. Radioactive scatter to the thyroid occurs with CRT in a dose-dependent fashion,143 and ALL survivors treated with either 18 or 24 Gy CRT are at risk for secondary hypothyroidism, thyroid nodules, and thyroid carcinoma.111 Periodic screening with TSH and free T-4 are recommended in ALL survivors treated with CRT. Further screening of the asymptomatic survivor with thyrotropin-releasing hormone stimulation test or ultrasound of the thyroid gland are costly and have not been prospectively studied.

Pulmonary late effects

ALL survivors may have an increased prevalence of mild, generally subclinical, restrictive pulmonary disease. In a small cross-sectional study of ALL survivors, Shaw and coworkers144 reported mild restrictive changes, with patients treated at a younger age at higher risk. Similarly, an analysis of 70 leukemia survivors found mild but significant decreases in forced vital capacity (FVC), forced expiratory volume in 1 second (FEV-1), total lung capacity (TLC), and transfer for carbon monoxide (DLCO).42 Cyclophosphamide, craniospinal irradiation, and a history of chest infections during treatment were independent variables associated with reductions in FEV-1, FVC, and TLC, while anthracyclines and craniospinal irradiation were associated with reductions in DLCO. ALL survivors also had impaired submaximal and maximal exercise capacity. These findings were further supported by analysis of a recent cross-sectional study of 128 patients a median of 7.6 years from therapy completion that reported an increased prevalence of subclinical restrictive pulmonary disease in ALL survivors.145 The long-term consequences and the possible role of smoking or other inhalant exposures need to be studied.

Liver dysfunction (Non-Hepatitis C)

During treatment with methotrexate (especially high-dose ranges) elevations of transaminases are common and generally transient. Two small longitudinal studies following ALL survivors for up to 7 years after completion of therapy did not report any patients with persistent transaminasemia, although Bessho and colleagues noted that 6 of 13 of their ALL survivors had elevated 2-hour postprandial bile acid levels, a more sensitive predictor of liver cirrhosis than transaminase level.146,147 Farrow and coworkers148 found that of 114 survivors who had ALT elevations greater than 5 times the upper limit of normal during therapy, only 17 (14.9%) had elevations persistently. Eight of these patients had chronic HCV infections. Of the remaining 9 patients, only 1 had a persistently elevated transaminase of greater than 2 times normal.

Although there are currently no data evaluating ALL survivors for long-term liver-related complications secondary to methotrexate, studies in patients with juvenile rheumatoid arthritis show that septal and portal fibrosis can occur with weekly low-dose methotrexate treatment of durations as short as 17 months.149 Obesity may be an associated risk factor for the development of cirrhosis in juvenile rheumatoid arthritis patients treated with methotrexate. Because of these potential risks, periodic measurement of ALT is recommended in follow-up of ALL survivors.

 

 

Urologic late effects

Cyclophosphamide is a long-recognized cause of hemorrhagic cystitis and a well-established bladder carcinogen. In a retrospective review150 of 314 children with ALL who were treated with cyclophosphamide between 1963 and 1973, 8% developed hemorrhagic cystitis. The frequency of diagnosis was not related to age or sex, but African American children were at higher risk. Cyclophosphamide-induced hemorrhagic cystitis generally presents during therapy, with children complaining of gross hematuria or irritative voiding complaints.151 Concurrent treatment with oral sodium 2-mercapatoethanesulfonate appears to markedly decrease the incidence of cyclophosphamide-induced hemorrhagic cystitis.152 In a nested case-control study of survivors of non–Hodgkin’s lymphoma, Travis and colleagues153 reported that there was a 2.4-fold increased risk of bladder cancer in patients treated with cumulative dosages of cyclophosphamide lower than 20 g. Because of the risk of chronic hemorrhagic cystitis and bladder cancer, ALL survivors treated with cyclophosphamide should have periodic screening urinalysis, and their review of systems should include voiding problems.

Alopecia

Alopecia is a bothersome late effect secondary to treatment with 24 Gy CRT for which there are no available treatments. In a retrospective study of 273 ALL survivors treated with CRT, 10% had alopecia.154

Acknowledgement

Dr Oeffinger received partial support for this work through the American Academy of Family Physicians Foundation Advanced Research Training Grant and the Robert Wood Johnson Foundation Generalist Physician Faculty Scholars Program.

We would like to thank Drs George Buchanan, Melissa Hudson, and Neyssa Marina for their critical review of this manuscript and Ms Laura Snell and Dr James Tysinger for their editing assistance.

References

 

1. MA, Ries LAG, Gurney JG, Ross JA. Leukemia. In: Ries LAG, Smith MA, Gurney JG, et al, eds. Cancer incidence and survival among children and adolescents: United States SEER Program 1975-1995, National Cancer Institute, SEER Program. Bethesda, MD: National Institutes of Health; 1999. NIH pub. no. 99-4649.

2. KC, Eshelman DA, Tomlinson GE, Buchanan GR. Programs for adult survivors of childhood cancer. J Clin Oncol 1998;16:2864-67.

3. DS. Transition to adult health care for adolescents and young adults with cancer. Cancer 1993;71:3411-14.

4. KC, Eshelman DA, Tomlinson GE, Buchanan GR, Foster BE. Grading of late effects in young adult survivors of childhood cancer followed in an ambulatory adult setting. Cancer 2000;88:1687-95.

5. H. The natural history of untreated acute leukemia. Ann NU Acad Sci 1954;60:322-58.

6. S, Diamond LK, Mercer RD, et al. Temporary remissions in acute leukemia in children produced by folic acid antagonist 4-aminopteroylglutamic acid (aminopterin). N Engl J Med 1948;238:787-93.

7. L, Gelber R, Cohen H, et al. Four-agent induction and intensive asparaginase therapy for treatment of childhood acute lymphoblastic leukemia. N Engl J Med 1986;315:657-63.

8. LL, Nesbit ME, Jr, Sather HN, Meadows AT, Ortega JA, Hammond GD. Factors associated with IQ scores in long-term survivors of childhood acute lymphoblastic leukemia. Am J Pediatr Hematol Oncol 1984;6:115-21.

9. P, Waters B, Said J, Stevens M. Cognitive effects of cranial irradiation in leukaemia: a survey and meta-analysis. J Child Psychol Psychiatry 1988;29:839-52.

10. JM, Kornblith AB, Jones D, et al. A comparative study of the long term psychosocial functioning of childhood acute lymphoblastic leukemia survivors treated by intrathecal methotrexate with or without cranial radiation. Cancer 1998;82:208-18.

11. D, Reaman G, Bleyer W, et al. Successful prevention of central nervous (CNS) leukemia without cranial radiation in children with high risk acute lymphoblastic leukemia (ALL): a preliminary report. Proc Am Soc Clin Oncol 1989;8:828.-

12. W, Shuster J, Falletta J, et al. Clinical features and outcome in childhood T-cell leukemia-lymphoma according to stage of thymocyte differentiation: a Pediatric Onoclogy Group study. Blood 1988;72:1891-97.

13. CH, Behm FG, Singh B, et al. Heterogeneity of presenting features and their relation to treatment outcome in 120 children with T-cell acute lymphoblastic leukemia. Blood 1990;75:174-79.

14. M, Azuma E, Ido M, et al. Ten-year survey of the intellectual deficits in children with acute lymphoblastic leukemia receiving chemoimmunotherapy. Med Pediatr Oncol 1993;21:435-40.

15. DP, Urion DK, Tarbell NJ, Niemeyer C, Gelber R, Sallan SE. Late effects of central nervous system treatment of acute lymphoblastic leukemia in childhood are sex-dependent. Dev Med Child Neurol 1990;32:238-48.

16. AE, Aitken K, Eden OB. Computerized psychometry screening in long-term survivors of childhood acute lymphoblastic leukemia. Pediatr Hematol Oncol 1988;5:197-208.

17. H, Huk WJ, Ueberall MA, et al. CNS late effects after ALL therapy in childhood. Part I: Neuroradiological findings in long-term survivors of childhood ALL—an evaluation of the interferences between morphology and neuropsychological performance—the German Late Effects Working Group. Med Pediatr Oncol 1997;28:387-400.

18. JA, Kaleita TA, Noll RB, et al. CNS prophylaxis of childhood leukemia: what are the long-term neurological, neuropsychological, and behavioral effects? Neuropsychol Rev 1991;2:147-77.

19. JA, Waters BG, Cousens P, Stevens MM. Neuropsychological sequelae of central nervous system prophylaxis in survivors of childhood acute lymphoblastic leukemia. J Consult Clin Psychol 1989;57:251-56.

20. J, Horrocks J, Britton PG, Kernahan J. Attentional ability among survivors of leukaemia. Arch Dis Child 1999;80:318-23.

21. AS, Nesbit ME. Neuropsychologic (cognitive) disabilities in long-term survivors of childhood cancer. Pediatrician 1991;18:11-19.

22. RK, Kovnar E, Langston J, et al. Long-term survivors of leukemia treated in infancy: factors associated with neuropsychologic status. J Clin Oncol 1992;10:1095-102.

23. DP, Tarbell NJ, Fairclough D, et al. Cognitive sequelae of treatment in childhood acute lymphoblastic leukemia: cranial radiation requires an accomplice. J Clin Oncol 1995;13:2490-96.

24. CL, Varni JW, Katz ER. Cognitive functioning in long-term survivors of childhood leukemia: a prospective analysis. J Dev Behav Pediatr 1990;11:301-05.

25. M, Brouwers P, Valsecchi MG, Van Veldhuizen A, Huisman J. Association of 1800 cGy cranial irradiation with intellectual function in children with acute lymphoblastic leukaemia. Lancet 1994;344:224-27.

26. E, Anderson V, Godber T, Ekert H. Risk factors for intellectual and educational sequelae of cranial irradiation in childhood acute lymphoblastic leukaemia. Br J Cancer 1996;73:825-30.

27. V, Godber T, Smibert E, Ekert H. Neurobehavioural sequelae following cranial irradiation and chemotherapy in children: an analysis of risk factors. Pediatr Rehabil 1997;1:63-76.

28. Bleyer A. CNS chemoradiotherapy of childhood leukemia: the plot thickens but the ending bodes well. J Clin Oncol 1995;13:2480-82.

29. TA, Reaman GH, MacLean WE, Sather HN, Whitt JK. Neurodevelopmental outcome of infants with acute lymphoblastic leukemia: a Children’s Cancer Group report. Cancer 1999;85:1859-65.

30. RT, Madan-Swain A, Walco GA, et al. Cognitive and academic late effects among children previously treated for acute lymphocytic leukemia receiving chemotherapy as CNS prophylaxis. J Pediatr Psychol 1998;23:333-40.

31. L. Clinical neurological findings of children with acute lymphoblastic leukaemia at diagnosis and during treatment. Eur J Pediatr 1993;152:115-19.

32. HA, Schoemaker MM, Hofte M, et al. Fine motor and handwriting problems after treatment for childhood acute lymphoblastic leukemia. Med Pediatr Oncol 1996;27:551-55.

33. PG, Ciesielski KT, Hart BL, Benzel EC, Sanders JA. Evidence for cerebellar-frontal subsystem changes in children treated with intrathecal chemotherapy for leukemia. Arch Neurol 1998;55:1561-68.

34. R, Fears TR, Robison LL, et al. Educational attainment in long-term survivors of childhood acute lymphoblastic leukemia. JAMA 1994;272:1427-32.

35. P, Chen CH. Prevalence of obesity in children after therapy for acute lymphoblastic leukemia. Am J Pediatr Hematol Oncol 1986;8:294-99.

36. I, Reilly JJ, Gibson BE, Donaldson MD. Patterns of obesity in boys and girls after treatment for acute lymphoblastic leukaemia. Arch Dis Child 1994;71:147-49.

37. MJ, Ochs JJ, Schriock EA, Carter M. A method of predicting adult height and obesity in long-term survivors of childhood acute lymphoblastic leukemia. J Clin Oncol 1992;10:128-33.

38. M, Didcock E, Davies HA, Ogilvy-Stuart AL, Wales JK, Shalet SM. High incidence of obesity in young adults after treatment of acute lymphoblastic leukemia in childhood. J Pediatr 1995;127:63-67.

39. Dongen-Melman JE, Hokken-Koelega AC, Hahlen K, De Groot A, Tromp CG, Egeler RM. Obesity after successful treatment of acute lymphoblastic leukemia in childhood. Pediatr Res 1995;38:86-90.

40. KK, Lanning M, Tapanainen P, Knip M. Long-term survivors of childhood cancer have an increased risk of manifesting the metabolic syndrome. J Clin Endocrinol Metab 1996;81:3051-55.

41. JT, Bell W, Webb DK, Gregory JW. Daily energy expenditure and physical activity in survivors of childhood malignancy. Pediatr Res 1998;43:607-13.

42. ME, Faragher EB, Jones PH, Woodcock A. Lung function and exercise capacity in survivors of childhood leukaemia. Med Pediatr Oncol 1995;24:222-30.

43. P, Gutjahr P, Stopfkuchen H. Physical performance in long-term survivors of acute leukaemia in childhood. Eur J Pediatr 1998;157:464-67.

44. MJ, Halton JM, Martin RF, Barr RD. Long-term gross motor performance following treatment for acute lymphoblastic leukemia. Med Pediatr Oncol 1998;3:86-90.

45. MJ, Halton JM, Barr RD. Limitation of ankle range of motion in survivors of acute lymphoblastic leukemia: a cross-sectional study. Med Pediatr Oncol 1999;32:279-82.

46. DS, Dietz WH, Srinivasan SR, Berenson GS. The relation of overweight to cardiovascular risk factors among children and adolescents: the Bogalusa Heart Study. Pediatrics 1999;103:1175-82.

47. M, Vanhala P, Kumpusalo E, Halonen P, Takala J. Relation between obesity from childhood to adulthood and the metabolic syndrome: population based study. BMJ 1998;317:319-21.

48. GS, Srinivasan SR, Bao W, et al. Association between multiple cardiovascular risk factors and atherosclerosis in children and young adults. N Engl J Med 1998;338:1650-56.

49. TC, Deedwania PC. The cardiovascular dysmetabolic syndrome. Am J Med 1998;105:77S-82S.

50. T, Bengtsson BA. Premature mortality due to cardiovascular disease in hypopituitism. Lancet 1990;336:285-88.

51. AS, Van’t Hoff W, Jones PJ, Clayton RN. The effect of hypopituitarism on life expectancy. J Clin Endocrinol Metab 1996;81:1169-72.

52. EM, Bulow B, Eskilsson J, Hagmar L. High incidence of cardiovascular disease and increased prevalence of cardiovascular risk factors in women with hypopituitarism not receiving growth hormone treatment: preliminary results. Growth Horm IGF Res 1999;9 (suppl):21-24.

53. MB. Effect of growth hormone on carbohydrate and lipid metabolism. Endocr Rev 1987;8:115-31.

54. FL, O’Neal D, Kamarudin N, Alford FP, Best JD. Growth hormone deficiency and cardiovascular risk. Baillieres Clin Endocrinol Metab 1998;12:199-216.

55. SA, Henderson A, Niththyananthan R, et al. The effects of short and long-term growth hormone replacement therapy in hypopituitary adults on lipid metabolism and carbohydrate tolerance. J Clin Endocrinol Metab 1995;80:356-63.

56. KA, Gray R, Anyaoku V, et al. Effects of four years’ treatment with biosynthetic human growth hormone (GH) on glucose homeostasis, insulin secretion and lipid metabolism in GH-deficient adults. Clin Endocrinol 1998;48:795-802.

57. D, Hew FL, Sikaris K, Ward G, Alford F, Best JD. Low density lipoprotein particle size in hypopituitary adults receiving conventional hormone replacement therapy. J Clin Endocrinol Metab 1996;81:2448-54.

58. Preventive Services Task Force. Guide to clinical preventive services. 2nd ed. Washington, DC: US Department of Health and Human Services; 1996.

59. PJ, Holen A, Glomstein A, et al. Long-term survival and quality of life in patients treated with a national ALL protocol 15-20 years earlier: IDM/HDM and late effects? Pediatr Hematol Oncol 1997;14:513-24.

60. AE. Posttraumatic distress in childhood cancer survivors and their parents. Med Pediatr Oncol 1998;1 (suppl):60-68.

61. LK, Chen E, Weiss R, et al. Comparison of psychologic outcome in adult survivors of childhood acute lymphoblastic leukemia versus sibling controls: a cooperative Children’s Cancer Group and National Institutes of Health study. J Clin Oncol 1997;15:547-56.

62. ML, Guo MD, Weiss R, et al. Smoking in adult survivors of childhood acute lymphoblastic leukemia. J Natl Cancer Inst 1998;90:219-25.

63. PB, Hough SF, Nel ED, van Riet FA, Beneke T, Wessels G. Bone mineral density in long-term survivors of childhood cancer. Int J Cancer Suppl 1998;11:44-7.

64. J, Hsieh K, Kalaitzoglou G, et al. Bone mineral density in young adult survivors of childhood cancer. J Pediatr Hematol Oncol 1998;20:241-45.

65. R, Brosnan P, Delpassand A, Zietz H, Klein MJ, Jaffe N. Osteopenia in young adult survivors of childhood cancer. Med Pediatr Oncol 1999;32:272-78.

66. V, Carlson ME, Roe TF, Ortega JA. Osteoporosis after cranial irradiation for acute lymphoblastic leukemia. J Pediatr 1990;117:238-44.

67. P, Komulainen J, Voutilainen R, et al. Reduced bone mineral density in long-term survivors of childhood acute lymphoblastic leukemia. J Pediatr Hematol Oncol 1998;20:234-40.

68. JT, Evans WD, Webb DK, Bell W, Gregory JW. Relative osteopenia after treatment for acute lymphoblastic leukemia. Pediatr Res 1999;45:544-51.

69. K, Holm K, Michaelsen KF, Hertz H, Muller J, Molgaard C. Bone mass after treatment for acute lymphoblastic leukemia in childhood. J Clin Oncol 1998;16:3752-60.

70. JJ, Kardos G, Roos JC, et al. Bone mineral density and markers of bone turnover in young adult survivors of childhood lymphoblastic leukaemia. Clin Endocrinol 1999;50:237-44.

71. BM, Rahim A, Mackie EM, Eden OB, Shalet SM. Clin Endocrinol 1998;48:777-783.

72. SA, Halton JM, Bradley C, Wu B, Barr RD. Bone and mineral abnormalities in childhood acute lymphoblastic leukemia: influence of disease, drugs and nutrition. Int J Cancer Suppl 1998;11:35-39.

73. B, Owens S, Okuyama T, Riggs S, Ferguson M, Litaker M. Effect of physical training and its cessation on percent fat and bone density of children with obesity. Obes Res 1999;7:208-14.

74. O, Kristinsson JO, Stefansson SO, Valdimarsson S, Sigurdsson G. Lean mass and physical activity as predictors of bone mineral density in 16-20-year old women. J Intern Med 1999;245:489-96.

75. I, van Croonenborg JJ, Kemper HC, Kostense PJ, Twisk JW. The effect of exercise training programs on bone mass: a meta-analysis of published controlled trials in pre- and postmenopausal women. Osteoporos Int 1999;9:1-12.

76. D, Johnell O, Wedel H. Meta-analysis of how well measures of bone mineral density predict occurrence of osteoporotic fractures. BMJ 1996;312:1254-59.

77. D, Sampietro-Colom L, Marshall D, Rico R, Granados A, Asua J. The effectiveness of bone density measurement and associated treatments for prevention of fractures: an international collaborative review. Int J Technol Assess Health Care 1998;14:237-54.

78. LL, Nesbit ME, Jr, Sather HN, Meadows AT, Ortega JA, Hammond GD. Height of children successfully treated for acute lymphoblastic leukemia: a report from the Late Effects Study Committee of Children’s Cancer Study Group. Med Pediatr Oncol 1985;13:14-21.

79. EA, Schell MJ, Carter M, Hustu O, Ochs JJ. Abnormal growth patterns and adult short stature in 115 long-term survivors of childhood leukemia. J Clin Oncol 1991;9:400-05.

80. M, Stanhope R, Chessells JM, Leiper AD. Impaired pubertal growth in acute lymphoblastic leukaemia. Arch Dis Child 1991;66:1403-07.

81. K, Dorffel W, Timme J, et al. Final height and puberty in 40 patients after antileukaemic treatment during childhood. Eur J Pediatr 1997;156:272-76.

82. P, Moell C, Cornu G, Malvaux P, Maes M. Subnormal growth during puberty in children treated for acute lymphoblastic leukemia. Pediatr Hematol Oncol 1992;9:217-22.

83. AC, van Doorn JW, Hahlen K, Stijnen T, de Muinck Keizer-Schrama SM, Drop SL. Long-term effects of treatment for acute lymphoblastic leukemia with and without cranial irradiation on growth and puberty: a comparative study. Pediatr Res 1993;33:577-82.

84. JA, Pollock BH, Jacaruso D, Morad A. Final attained height in patients successfully treated for childhood acute lymphoblastic leukemia. J Pediatr 1993;123:546-52.

85. AE, Adan L, Leverger G, Souberbielle JC, Schaison G, Brauner R. Growth hormone secretion, puberty and adult height after cranial irradiation with 18 Gy for leukaemia. Eur J Pediatr 1998;157:703-07.

86. J, Villaizan CJ, Garcia-Foncillas J, Azcona C, Salvador J, Sierrasesumaga L. Chemotherapy-induced growth hormone deficiency in children with cancer. Med Pediatr Oncol 1995;25:90-5.

87. J, Villaizan CJ, Garcia-Foncillas J, Salvador J, Sierrasesumaga L. Growth and growth hormone secretion in children with cancer treated with chemotherapy. J Pediatr 1997;131:105-12.

88. C, Mertens A, Walter A, et al. Final height after treatment for childhood acute lymphoblastic leukemia: comparison of no cranial irradiation with 1800 and 2400 centigrays of cranial irradiation. J Pediatr 1993;123:59-64.

89. A, Cacciari E, Rosito P, et al. Longitudinal growth and final height in long-term survivors of childhood leukaemia. Eur J Pediatr 1994;153:726-30.

90. TG, Byrne GC, Jones TW. Growth and growth hormone secretion after treatment for acute lymphoblastic leukemia in childhood 18-Gy versus 24-Gy cranial irradiation. J Pediatr Hematol Oncol 1995;17:167-71.

91. NH, Fisker S, Clausen N, Tuovinen V, Sindet-Pedersen S, Christiansen JS. Growth and endocrinological disorders up to 21 years after treatment for acute lymphoblastic leukemia in childhood. Med Pediatr Oncol 1998;30:351-56.

92. O’Halloran DJ, Tsatsoulis A, Whitehouse RW, Holmes SJ, Adams JE, Shalet SM. Increased bone density after recombinant human growth hormone (GH) therapy in adults with isolated GH deficiency. J Clin Endocrinol Metab 1993;76:1344-48.

93. F, Cuneo RC, Hesp R, Sonksen PH. The effects of treatment with recombinant human growth hormone on body composition and metabolism in adults with growth hormone deficiency. N Engl J Med 1989;321:1797-803.

94. P, Broman JE, Hetta J, et al. Quality of life in adults with growth hormone (GH) deficiency: response to treatment with recombinant human GH in a placebo-controlled 21-month trial. J Clin Endocrinol Metab 1995;80:3585-90.

95. SE, Colan SD, Gelber RD, Perez-Atayde AR, Sallan SE, Sanders SP. Late cardiac effects of doxorubicin therapy for acute lymphoblastic leukemia in childhood. N Engl J Med 1991;324:843-45.

96. SE, Lipsitz SR, Mone SM, et al. Female sex and drug dose as risk factors for late cardiotoxic effects of doxorubicin therapy for childhood cancer. N Engl J Med 1995;332:1738-43.

97. MA, Lipshultz SE. Epidemiology of anthracycline cardiotoxicity in children and adults. Semin Oncol 1998;25(suppl):72-85.

98. K, Levitt G, Bull C, Chessells J, Sullivan I. Anthracycline dose in childhood acute lymphoblastic leukemia: issues of early survival versus late cardiotoxicity. J Clin Oncol 1997;15:61-68.

99. K, Holm K, Lipsitz SR, et al. Relationship between cumulative anthracycline dose and late cardiotoxicity in childhood acute lymphoblastic leukemia. J Clin Oncol 1998;16:545-50.

100. LH. Ameliorating anthracycline cardiotoxicity in children with cancer: clinical trials with dexrazoxane. Semin Oncol 1998;25:86-92.

101. LJ, Graham T, Hurwitz R, et al. Guidelines for cardiac monitoring of children during and after anthracycline therapy: report of the Cardiology Committee of the Childrens Cancer Study Group. Pediatrics 1992;89:942-49.

102. for Disease Control and Prevention. Recommendations for prevention and control of hepatitis C virus (HCV) infection and HCV-related chronic disease. MMWR 1998;47:1-39.

103. M, Maggiore G, Silini E, Bono F, Vigano C. Hepatitis C virus infection in children treated for acute lymphoblastic leukemia. Blood 1994;84:2919-22.

104. SP, Ragusa R, Sciacca A, et al. Incidence and morbidity of infection by hepatitis C virus in children with acute lymphoblastic leukaemia. Eur J Pediatr 1994;153:271-75.

105. A, Testa M, Pontisso P, et al. Prevalence and natural history of hepatitis C infection in patients cured of childhood leukemia. Blood 1997;90:4628-33.

106. A, Alberti A. Hepatitis C virus serum markers and liver disease in children with leukemia. Leuk Lymphoma 1995;17:245-49.

107. S, Petris MG, Rossetti F, et al. Chronic hepatitis C virus infection after treatment for pediatric malignancy. Blood 1997;90:1315-20.

108. IM, Sanders J, Ruggiero F, Andrews T, Ungar D, Eyster ME. Chronic hepatitis C virus infections in leukemia survivors: prevalence, viral load, and severity of liver disease. Blood 1999;93:3672-77.

109. Dalton VM, Gelber RD, Li F, Donnelly MJ, Tarbell NJ, Sallan SE. Second malignancies in patients treated for childhood acute lymphoblastic leukemia. J Clin Oncol 1998;16:2848-53.

110. AW, Hancock ML, Pui CH, et al. Secondary brain tumors in children treated for acute lymphoblastic leukemia at St Jude Children’s Research Hospital. J Clin Oncol 1998;16:3761-67.

111. P, Straaten A, Gutjahr P. Secondary thyroid carcinoma after treatment for childhood cancer. Med Pediatr Oncol 1998;31:91-95.

112. Y, Leverger G, Carrere A, et al. Second thyroid neoplasms after prophylactic cranial irradiation for acute lymphoblastic leukemia. Am J Hematol 1998;59:91-94.

113. T, Ikuta H, Hibi S, Todo S. Second cutaneous neoplasms after acute lymphoblastic leukemia in childhood. Int J Hematol 1993;59:67-71.

114. J, Velasco-Benito JA, Pena-Penabad C, Armijo M. Basal cell carcioma in a girl after cobalt irradiation to the cranium for acute lymphoblastic leukemia: case report and literature review. Pediatr Dermatol 1996;13:54-57.

115. J, Philip P, Larsen SO, et al. Therapy-related myelodysplasia and acute myeloid leukemia: cytogenetic characteristics of 115 consecutive cases and risk in seven cohorts of patients treated intensively for malignant diseases in the Copenhagen series. Leukemia 1993;7:1975-86.

116. N, Shuster JJ, Bowman WP, et al. Intensive oral methotrexate protects against lymphoid marrow relapse in childhood B-precursor acute lymphoblastic leukemia. J Clin Oncol 1996;14:2803-11.

117. C, Hartmann JT, Kanz L, Bokemeyer C. Risk of secondary myeloid leukemia and myelodysplastic syndrome following standard-dose chemotherapy or high-dose chemotherapy with stem cell support in patients with potentially curable malignancies. J Cancer Res Clin Oncol 1998;124:207-14.

118. HM, Keating MJ. Therapy-related leukemia and myelodysplastic syndrome. Semin Oncol 1987;14:435-43.

119. MA, Rubinstein L, Anderson JR, et al. Secondary leukemia or myelodysplastic syndrome after treatment with epipodophyllotoxins. J Clin Oncol 1999;17:569-77.

120. MA, Rubinstein L, Cazenave L, et al. Report of the Cancer Therapy Evaluation Program monitoring plan for secondary acute myeloid leukemia following treatment with epipodophyllotoxins. J Natl Cancer Inst 1993;85:554-58.

121. CH, Relling MV, Rivera GK, et al. Epipodophyllotoxin-related acute myeloid leukemia: a study of 35 cases. Leukemia 1995;9:1990-96.

122. M, Akiyama Y, Koishi S, et al. Second malignancy following treatment of acute lymphoblastic leukemia in children. Int J Hematol 1998;67:397-401.

123. R, Clausen N, Siimes MA, et al. Reproduction following treatment for childhood leukemia: a population-based prospective cohort study of fertility and offspring. Med Pediatr Oncol 1991;19:459-66.

124. GA, Jenney ME. The reproductive system after childhood cancer. Br J Obstet Gynaecol 1998;105:946-53.

125. Wallace WH, Shalet SM, Tetlow LJ, Morris-Jones PH. Ovarian function following the treatment of childhood acute lymphoblastic leukaemia. Med Pediatr Oncol 1993;21:333-39.

126. MR, Robison LL, Nesbit ME, et al. Effects of radiation on ovarian function in long-term survivors of childhood acute lymphoblastic leukemia: a report from the Children’s Cancer Study Group. J Clin Oncol 1987;5:1759-65.

127. CA, Robison LL, Nesbit ME, et al. Effects of radiation on testicular function in long-term survivors of childhood acute lymphoblastic leukemia: a report from the Children’s Cancer Group. J Clin Oncol 1990;8:1981-87.

128. T, Kishi K, Imashuku S, et al. Testicular histology and function following long-term chemotherapy of acute leukemia in children and outcome of the patients who received testicular biopsy. Am J Pediatr Hematol Oncol 1986;8:288-93.

129. WH, Shalet SM, Lendon M, Morris-Jones PH. Male fertility in long-term survivors of childhood acute lymphoblastic leukaemia. Int J Androl 1991;14:312-19.

130. LB, Nicholson HS, Brasseux C, et al. Birth defects in offspring of adult survivors of childhood acute lymphoblastic leukemia: a Children’s Cancer Group/National Institutes of Health Report. Cancer 1996;78:169-76.

131. DL, Smith LE, Turner SJ, Gelber RD, Sallan SE. Ophthalmic evaluation of survivors of acute lymphoblastic leukemia. Ophthalmology 1988;95:151-55.

132. RG, Jr, Chauvenet AR, Smith TJ, Schwartz AC. Ophthalmic evaluation of long-term survivors of childhood acute lymphoblastic leukemia. Cancer 1986;58:963-68.

133. SC, Hopkins KP, Jones D, Crom D, Greenwald CA, Santana VM. Dental abnormalities in children treated for acute lymphoblastic leukemia. Leukemia 1997;11:792-96.

134. AL, Tarbell N, Valachovic RW, Gelber R, Schwenn M, Sallan S. Dentofacial development in long-term survivors of acute lymphoblastic leukemia: a comparison of three treatment modalities. Cancer 1990;66:2645-52.

135. AL, Waber DP, Sallan S, Tarbell NJ. The oral health of long-term survivors of acute lymphoblastic leukaemia: a comparison of three treatment modalities. Eur J Cancer B Oral Oncol 1995;31:250-52.

136. A, Chiarelli F, Di Marzio A, Impicciatore P, Marsico S, Angrilli F. Thyroid function in children treated for acute lymphoblastic leukemia. J Endocrinol Invest 1997;20:215-19.

137. LL, Nesbit ME, Sather HN, Meadows AT, Ortega JA, Hammond GD. Thyroid abnormalities in long-term survivors of childhood acute lymphoblastic leukemia. Pediatr Res 1985;19:266A.-

138. T, McCalla J, Berg S, et al. Subtle primary hypothyroidism in patients treated for acute lymphoblastic leukemia. Acta Endocrinol 1991;124:375-80.

139. CR, Miller JD, Guyda HJ, Esseltine DW, Chevalier LM, Freeman CR. Growth and development of long-term survivors of childhood acute lymphoblastic leukemia treated with and without prophylactic radiation of the central nervous system. Clin Invest Med 1985;8:307-14.

140. ML, Brecher ML, Glicksman AS, et al. Hypothalamic-pituitary function of children with acute lymphocytic leukemia after three forms of central nervous system prophylaxis: a retrospective study. Cancer 1986;57:1287-91.

141. EP, Leiper AD, Chessells JM. Thyroid function in children after treatment for acute lymphoblastic leukemia. Arch Dis Child 1988;64:631.-

142. MD, Shalet SM, Beardwell CG. Radiation and hypothalamic-pituitary function. Baillieres Clin Endocrinol Metab 1990;4:147-75.

143. F, Ohta K, Akanuma A, Sakata K. Dosimetry of radiation scattered to thyroid gland from prophylactic cranial irradiation for childhood leukemia. Pediatr Hematol Oncol 1994;11:47-53.

144. NJ, Tweeddale PM, Eden OB. Pulmonary function in childhood leukaemia survivors. Med Pediatr Oncol 1989;17:149-54.

145. K, Holm K, Olsen JH, Hertz H, Hesse B. Pulmonary function after treatment for acute lymphoblastic leukaemia in childhood. Br J Cancer 1998;78:21-27.

146. BL, Tanyer G, Poplack DG, et al. Transient acute hepatotoxicity of high-dose methotrexate therapy during childhood. NCI Monogr 1987;5:207-12.

147. F, Kinumaki H, Yokota S, Hayashi Y, Kobayashi M, Kamoshita S. Liver function studies in children with acute lymphocytic leukemia after cessation of therapy. Med Pediatr Oncol 1994;23:111-15.

148. AC, Buchanan GR, Zweiner RJ, Bowman WP, Winick NJ. Serum aminotransferase elevation during and following treatment of childhood acute lymphoblastic leukemia. J Clin Oncol 1997;15:1560-66.

149. PJ, Balistreri WF, Bove KE, Ballard ET, Passo MH. The relationship of hepatotoxic risk factors and liver histology in methotrexate therapy for juvenile rheumatoid arthritis. J Pediatr 1999;134:47-52.

150. HJ, Simone J, Aur RJA. Cyclophosphamide-induced hemorrhagic cystitis in children with leukemia. Cancer 1975;36:1572-76.

151. TJ, Benson RC. Cyclophosphamide-induced hemorrhagic cystitis: a review of 100 patients. Cancer 1988;61:451-57.

152. JM, Reed EC, Pippert GC, et al. Mesna compared with continuous bladder irrigation as uroprotection during high-dose chemotherapy and transplantation: a randomized trial. J Clin Oncol 1993;11:1306-10.

153. LB, Curtis RE, Glimelius B, et al. Bladder and kidney cancer following cyclophosphamide therapy for non-Hodgkin’s lymphoma. J Natl Cancer Inst 1995;87:524-30.

154. der Does-van den Berg A, de Vaan GAM, van Weerden JF, Hahlen K, van Weel-Sipman M, Veerman AJP. Late effects among long-term survivors of childhood acute leukemia in the Netherlands: a Dutch Childhood Leukemia Study Group report. Pediatr Res 1995;38:802-07.

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Kevin C. Oeffinger, MD
Debra A. Eshelman, RN, MSN, CPNP
Gail E. Tomlinson, MD, PhD
Michael Tolle, MD
Gregory W. Schneider, MD
Dallas, Texas
Submitted, revised, August 27, 2000.
From the Department of Family Practice and Community Medicine (K.C.O., M.T., G.W.S.), the Center for Cancer and Blood Disorders (D.A.E.), and the Department of Pediatrics, Division of Hematology-Oncology (G.E.T.), the University of Texas Southwestern Medical Center at Dallas, and Children’s Medical Center of Dallas, the After the Cancer Experience (ACE) Young Adult Program. Reprint requests should be addressed to Kevin C. Oeffinger, MD, the University of Texas Southwestern Medical Center at Dallas, Department of Family Practice and Community Medicine, 5323 Harry Hines Blvd, Dallas, TX 75390-9067. E-mail: kevin.oeffinger@email.swmed.edu.

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The Journal of Family Practice - 49(12)
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1133-1146
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,Leukemia, lymphoblastic, acutesurvivorslate effects [non-MESH]screening [non-MESH]. (J Fam Pract 2000; 49:1133-1146)
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Kevin C. Oeffinger, MD
Debra A. Eshelman, RN, MSN, CPNP
Gail E. Tomlinson, MD, PhD
Michael Tolle, MD
Gregory W. Schneider, MD
Dallas, Texas
Submitted, revised, August 27, 2000.
From the Department of Family Practice and Community Medicine (K.C.O., M.T., G.W.S.), the Center for Cancer and Blood Disorders (D.A.E.), and the Department of Pediatrics, Division of Hematology-Oncology (G.E.T.), the University of Texas Southwestern Medical Center at Dallas, and Children’s Medical Center of Dallas, the After the Cancer Experience (ACE) Young Adult Program. Reprint requests should be addressed to Kevin C. Oeffinger, MD, the University of Texas Southwestern Medical Center at Dallas, Department of Family Practice and Community Medicine, 5323 Harry Hines Blvd, Dallas, TX 75390-9067. E-mail: kevin.oeffinger@email.swmed.edu.

Author and Disclosure Information

Kevin C. Oeffinger, MD
Debra A. Eshelman, RN, MSN, CPNP
Gail E. Tomlinson, MD, PhD
Michael Tolle, MD
Gregory W. Schneider, MD
Dallas, Texas
Submitted, revised, August 27, 2000.
From the Department of Family Practice and Community Medicine (K.C.O., M.T., G.W.S.), the Center for Cancer and Blood Disorders (D.A.E.), and the Department of Pediatrics, Division of Hematology-Oncology (G.E.T.), the University of Texas Southwestern Medical Center at Dallas, and Children’s Medical Center of Dallas, the After the Cancer Experience (ACE) Young Adult Program. Reprint requests should be addressed to Kevin C. Oeffinger, MD, the University of Texas Southwestern Medical Center at Dallas, Department of Family Practice and Community Medicine, 5323 Harry Hines Blvd, Dallas, TX 75390-9067. E-mail: kevin.oeffinger@email.swmed.edu.

Acute lymphoblastic leukemia (ALL), the most common childhood malignancy, accounts for almost one fourth of childhood cancers.1 The incidence of ALL has shown a moderate increase in the past 20 years. It is generally considered a cancer of younger children, with a peak incidence between the ages of 2 and 5 years. It is approximately 30% more common in boys than girls and approximately twice as common in white children as in black children. Improvements in ALL treatment during the past 20 years have increased the overall survival rate to approximately 80%. Thus, success in “curing” this childhood disease has resulted in a growing population of long-term survivors.

Since it is anticipated that the majority of long-term survivors of childhood ALL will seek health care from primary care physicians, it is important to understand the potential health problems that these patients may experience secondary to their cancer treatment.2-4 However, there are no articles in peer-reviewed family practice journals concerning the long-term follow-up of survivors of childhood ALL. Our clinical review briefly describes the evolution of the treatment for ALL, potential late effects of treatment, and recommendations for screening asymptomatic long-term survivors. Because this field of investigation is rapidly advancing and much of the available information is from cross-sectional and small cohort studies, these recommendations should not be viewed as a set of guidelines. Instead, our review is intended to contribute a foundation for primary care physicians providing longitudinal health care for ALL survivors while highlighting the areas needing further investigation. Also, because of the evolving changes in treatment protocols—and thus in potential late effects—it is essential to frequently communicate with our colleagues who specialize in the treatment of children with cancer.

Evolution of treatment for childhood all

During the 1940s childhood leukemias had a uniformly rapid fatal course over a short period of time, thus the designation of the term “acute.”5 In the late 1940s, Farber and colleagues6 found that aminopterin (a folic acid antagonist) could induce temporary remissions in leukemia. This discovery opened the era of clinical investigation into the uses of combined chemotherapy in treating childhood ALL Figure 1. The use of antimetabolite therapy for prolonged periods started in the late 1950s and early 1960s and suggested that it was possible for children to have an extended period of remission and possibly be cured. The addition of anthracyclines such as daunorubicin in the 1970s and the discovery that the enzyme L-asparaginase was useful in ALL therapy for depleting cells of the essential amino acid L-asparagine further boosted the ability to induce and sustain remission.7

A significant factor in morbidity and mortality from childhood ALL was the development of leukemia within the central nervous system (CNS). Left untreated, more than half the children with ALL developed leukemia in the CNS, even when bone marrow remission was sustained. In most patients, CNS relapse was followed by bone marrow relapse. Prophylactic radiation to the head and spine, introduced in the early 1970s, significantly decreased the incidence of CNS leukemia and resulted in significant advancement in long-term survival. However, in the early 1980s—as a consequence of the appreciation of neurodevelopmental delays and cognitive dysfunction secondary to relatively higher-dose (24 Gy) cranial irradiation (CRT), different methods of CNS treatment and prophylaxis evolved, either using lower-dose CRT (18 Gy), intensification of systemic methotrexate (MTX) dosaging, or intrathecal medications.8-11

Current treatment regimens divide therapy into remission induction, consolidation and CNS prophylaxis, and maintenance or continuous treatment. Induction chemotherapy (aimed at an initial reduction in blast cell percentage in the bone marrow to 5% or lower) consists of a 1-month schedule of vincristine, prednisone, and L-asparaginase alone or with other agents. Following induction, a consolidation phase consisting of an intensified period of treatment combines the use of antimetabolites and other agents with intrathecal chemotherapy for CNS prophylaxis. Maintenance therapy continues for a period of approximately 2 years and relies heavily on the use of methotrexate and 6-mercaptopurine. During the past 2 decades, recognized differences in the phenotype of the leukemic cells have resulted in protocol modifications to improve outcome and reduce toxicity. Increasingly, the T-cell phenotype of childhood ALL has been treated more effectively with intensified regimens that include cyclophosphamide, cytarabine, and anthracylines.12,13

Late effects of treatment for childhood all

A late effect is defined as any chronic or late occurring physical or psychosocial outcome persisting or developing more than 5 years after diagnosis of the cancer. In this section we describe potential late effects in order from more common or serious health problems to less common or serious ones Table 1. Many of these late effects may have long asymptomatic intervals before end-stage disease or serious health outcomes, such as survivors with hepatitis C who develop cirrhosis or those with a late-onset cardiomyopathy who present in congestive heart failure. Included in each section is a discussion about the screening tests commonly used in long-term follow-up programs that include asymptomatic survivors4Table 2. It should be stressed that the value of most of these tests has not been studied in this population in a prospective or a well-designed retrospective manner with adequate sample sizes, which limits the strength of the recommendations. Clinicians should be selective in ordering tests and providing preventive services and should actively incorporate the patient’s concerns and fears when arriving at an individualized decision on whether to perform a test. Figure 2 is a compilation of information pertinent to the follow-up of a survivor of childhood ALL, provided as a single-page template for clinical use.

 

 

Because bone marrow transplantation (BMT) is a relatively new therapy affecting a much smaller number of ALL survivors, our review does not include the late effects related to total body irradiation and BMT.

Cognitive dysfunction and performance at school and work

As described in the section on the evolution of treatment, 24 Gy CRT is associated with cognitive dysfunction. A meta-analysis of more than 30 retrospective and prospective studies established that 24 Gy CRT in combination with MTX resulted in a mean decrease of 10 points in full-scale intelligence quotient (IQ).9 Verbal scores were affected more than performance IQ, and changes were noted to be progressive. Although more than half the patients had mild to moderate learning problems, the outcomes were highly variable, and some patients experienced 20- to 30-point losses, while others had no discernable changes.9,14 Deficits have been noted in measures of visual-spatial abilities, attention-concentration, nonverbal memory, and somatosensory functioning.8-10,15-20 Studies have also shown that girls and patients treated with CRT before the age of 4 years are at significantly higher risk. Neuropathologic changes resulting from 24 Gy CRT include leukoencephalopathy, mineralizing microangiopathy, subacute necrotizing leukomyelopathy, and intracerebral calcifications, commonly with subsequent cerebral atrophy and microcephally.21,22

Treatment with 18 Gy CRT in combination with chemotherapy also affects cognition, though not as profoundly as with 24 Gy CRT. In a retrospective study of children with ALL, randomized by risk group to receive either 18 Gy CRT with chemotherapy or chemotherapy alone, 66 survivors were subsequently tested using several cognitive measures.23 Girls who were treated with CRT/chemotherapy had a mean IQ 9 points lower than those treated with chemotherapy alone. All patients had impairments in verbal coding and short-term memory regardless of CRT use or MTX dose, suggesting that another agent such as glucocorticoids may be responsible. Other small prospective and retrospective studies have found a mild decrease in full-scale IQ in patients treated with 18 Gy CRT/chemotherapy, although subanalysis generally showed that changes were only significant for girls and patients treated at a younger age.24-27

Recent studies suggest that neurodevelopmental outcomes for survivors treated with chemotherapy alone are generally positive.28 An analysis of 30 survivors whose condition was diagnosed before the age of 12 months showed no decrease in 6 cognitive and motor indices and no sex differences.29 Though full-scale IQ was normal, Brown and colleagues30 reported that girls had significantly decreased nonverbal scores in a study of 47 ALL survivors. Fine motor disturbances and manual dexterity difficulties, which may compound learning difficulties, have been seen in 25% to 33% of ALL survivors evaluated in 2 small cross-sectional studies.31,32 Changes in cerebellar-frontal subsystems that correlate with neuropsychological deficits have also been seen in ALL patients treated with chemotherapy alone.33

The Children’s Cancer Group investigated the impact of treatment on scholastic performance of 593 adult survivors, compared with 409 sibling controls.34 Patients treated with 24 Gy CRT were more likely to enter special education or learning-disabled programs, with relative risks of 4.1 and 5.3, respectively. Previous treatment with 18 Gy CRT had less impact, with a relative risk of 4.0 to enter a special education program but no increased risk of entering a learning-disabled program. Patients treated with CRT (18 or 24 Gy) were just as likely to enter gifted and talented programs as their sibling controls. In general, survivors were as likely to finish high school and enter college as controls, but those treated with 24 Gy or treated before the age of 6 years were less likely to enter college. There were no sex differences in educational achievements.

There are no studies that explore problems in job acquisition, promotion, and retention for ALL survivors with evidence of cognitive dysfunction. Abstract thinking abilities in higher-level decision making may be problematic for some ALL survivors, particularly those treated with 24 Gy CRT. Further study is warranted, particularly in evaluating methods to assist at-risk survivors in developing job skills and applying for a job.

Obesity, physical inactivity, and risk of premature cardiovascular disease

Several retrospective cohort and cross-sectional studies have shown an increased incidence and prevalence of obesity in ALL survivors. Early studies suggested that the resulting obesity was secondary to CRT, with 38% to 57% of the survivors having a body mass index (BMI) >2 standard deviations (SDs) above the norm at the time of attainment of final height.35-38 Two recent cross-sectional studies suggest that the increased prevalence of obesity may be due to other factors. Van Dongen-Melman and coworkers39 compared the weight gain and BMI of 113 ALL survivors who had received CRT/chemotherapy or chemotherapy alone and found that children treated with a combination of prednisone and dexamethasone had the highest prevalence of obesity (44%).39 Talvensaari and colleagues40 evaluated 50 childhood cancer survivors with a median age of 18 years (including 28 ALL patients) and found an increased prevalence of obesity in survivors that was not associated with CRT.

 

 

Obesity in ALL survivors may be due in part to reduced physical activity. In a small cross-sectional study with sibling controls, ALL survivors had decreased activity levels and total daily energy expenditures that correlated with their percentage of body fat.41 Maximal and submaximal exercise capacity were reduced in another cross-sectional study.42 Similarly, in a study of 53 ALL survivors with a longer interval from ALL diagnosis (mean=10.5 years), 25% and 31%, respectively, were unable to reach normal maximal oxygen uptake and normal oxygen uptake at the anaerobic threshold.43

Changes in gross motor skills may also affect the physical activity level of ALL survivors. Balance, strength, running speed and agility, and hand grip strength were decreased in a cohort of 36 ALL survivors with a median age of 9.3 years.44 In a follow-up of this cohort, Wright and coworkers45 reported that the ALL survivors had significantly less active and passive dorsiflexion range of motion of the ankle than did controls. Younger age at diagnosis and female sex were significant predictors, while treatment with CRT did not increase risk. These studies suggest that ALL survivors should be assessed for gross motor deficits that might alter exercise choices.

In the general population, obesity and physical inactivity are risk factors for cardiovascular disease. Obesity (an especially important risk factor during young adulthood) enhances the development of hypertension, dyslipidemia, and insulin resistance.46-48 Because the median age of ALL survivors is still relatively young, there are no cohort or case-control studies evaluating the treatment-related risk of premature onset of coronary artery disease. Talvensaari and coworkers40 reported that 50 childhood cancer survivors (including 28 ALL survivors) had an increased risk of fasting hyperinsulinemia and reduced high-density lipoprotein (HDL) cholesterol compared with 50 age- and sex-matched controls. Eight of the cancer survivors with reduced spontaneous growth hormone (GH) secretion (4/8 had received CRT) had obesity, hyperinsulinemia, and reduced HDL cholesterol, fitting the criteria for cardiac dysmetabolic syndrome, a clustering of metabolic problems associated with a markedly increased risk of cardiovascular disease.49

Studies of noncancer populations may shed light on the cardiovascular risk of ALL survivors with GH deficiency. Hypopituitarism with GH deficiency in adults is associated with increased vascular mortality.50-52 Adults with GH deficiency also have an increased prevalence of dyslipidemia53,54 and insulin resistance,55 that may improve with GH therapy.56,57

Counseling on the benefits of proper diet and exercise is an important component of long-term care for ALL survivors. Periodic analysis of lipoproteins has not been prospectively studied in ALL survivors, but the US Preventive Services Task Force states that adolescents and young adults who have major risk factors for cardiovascular disease should be screened.58

Psychosocial well-being of all survivors

The long-term psychosocial welfare of ALL survivors is complex. A population-based sibling-matched control study of 93 ALL survivors who were at least 15 years postdiagnosis showed no difference in quality of life or mental health.59 Similarly, no differences were found in symptoms of anxiety and posttraumatic stress in 130 leukemia survivors and 155 controls.60 In contrast, a large cooperative study of the Children’s Cancer Group and the National Institutes of Health evaluated 580 adult survivors and 396 sibling controls and reported that survivors had greater negative mood and reported more tension, depression, anger, and confusion.61 Female, minority, and unemployed survivors reported the highest total mood disturbance. Issues related to late effects, especially cognitive dysfunction, obesity, and physical inactivity, may have an impact on the mental health of survivors.

Few data are available on the risk behavior of ALL survivors. In a cohort study of 592 young adult ALL survivors and 409 sibling controls, Tao and colleagues62 reported that ALL survivors were less likely to start smoking, but once they started they were no more likely to quit than their siblings. Fourteen percent of the ALL survivors were smokers. Although no prospective studies have evaluated the effect of smoking on the incidence and severity of late effects of ALL treatment, it will have an impact on survivors with cardiovascular risk factors, restrictive pulmonary disease, and osteopenia. Counseling on smoking cessation is imperative in the long-term health care of ALL survivors.

Osteopenia and osteoporosis

Several well-designed small to medium-size cross-sectional studies of childhood cancer survivors63-65 and ALL survivors66-71 with median ages at evaluation ranging from 12 to 25 years consistently showed reduction in bone mineral density, bone mass content (BMC), and/or age-adjusted bone mass. Age at diagnosis, interval since treatment, sex, and cumulative dosages of MTX and corticosteroids have not been consistently associated with reduction in bone mass. In contrast, CRT has consistently been identified as a risk factor, although the 3 studies that evaluated GH status showed variation in the relationship of GH deficiency and reduced bone mass.69-71 Impairment of peak bone mass is likely multifactorial in etiology, with predisposing risk factors including altered bone metabolism at the time of onset of leukemia, interference in bone metabolism by corticosteroids and MTX, and impaired bone growth and skeletal maturation caused by pituitary dysfunction/GH deficiency. In an ongoing prospective cohort study, Atkinson and coworkers72 reported that by 6 months of therapy for ALL, 64% of the children had a reduction from baseline measures of BMC, and by the end of 2 years of therapy 83% were osteopenic. Hypomagnesemia due to renal wasting of magnesium after treatment with high-dose corticosteroids and/or aminoglycosides was associated with the progression in changes and may be a key factor in the alteration of bone metabolism.

 

 

Reduction in peak bone mass in young adults is a significant risk factor for developing osteoporosis and subsequent fracture, and measures to prevent or reverse bone loss are important. Exercise increases bone density in obese children73 and young adults74 and has recently been shown by meta-analysis75 to prevent or reverse almost 1% of bone loss per year in pre- and postmenopausal women. With ALL survivors likely to be less physically active,41-43 it is essential to counsel them on the benefits of exercise in preventing cardiovascular disease and osteoporosis and help them develop an exercise plan. Additionally, counseling on calcium intake and avoidance of smoking is important. Though bone densitometry has not been an effective screening test for the general population, it has value in high-risk groups.76,77 Prospective randomized trials are needed to evaluate the usefulness and frequency of screening.

GH deficiency

Cross-sectional and longitudinal studies have consistently shown that patients treated with 24 Gy CRT have a decrease in median height of approximately 1 to 1.5 SD score, or 5 to 10 cm.37,78-84 Treatment with 18 Gy CRT85 or chemotherapy alone86,87 affect the final height to a lesser degree. Sklar and coworkers88 reported a change in final height SD score of -0.65 for patients treated with 18 Gy CRT and -0.49 for those treated with chemotherapy alone. Girls and patients treated at a younger age (<5 years) have the greatest growth reduction.37,78,88,89 These changes are thought to be secondary to GH deficiency, resulting in a blunted pubertal growth spurt. The greater the deficiency, the more profound the impairment of growth.90 Brennan and colleagues71 reported a median decrement in final height of 2.1 SD in patients with severe GH deficiency. Treatment with GH in these patients usually results in near normalization of final height.

Though GH therapy is generally stopped when children reach their final height or by the age of 18 years, deficiency persists. In a small cross-sectional study of 30 ALL survivors, 9 of 15 patients who received 24 Gy CRT (median age=21.4 years) were GH deficient.91 In another cross-sectional analysis of the GH status of 32 ALL survivors (median age=23 years), 21 of 32 were GH deficient, including 9 who were severely deficient.71 The consequences of GH deficiency in adulthood are not well understood. Small studies suggest that GH replacement may improve bone mineral density,92 body composition,93 and quality of life.94

Late onset anthracycline-induced cardiomyopathy

Anthracyclines (notably daunorubicin and doxorubicin) are often used during the induction phase of treatment, with some protocols using moderate to high dosages (Ž350 mg/m2) for high-risk patients. In the past 10 years it has become apparent that childhood cancer patients treated with an anthracycline are at increased risk for developing late-onset cardiomyopathy.95-97 Classically, anthracycline-induced cardiomyopathy is characterized by elevated afterload followed by the development of a dilated thin-walled left ventricle. Over time this can lead to a stiff and poorly compliant left ventricle. Most patients are asymptomatic, but longitudinal studies suggest that a significant proportion will experience progressive changes and may develop congestive heart failure.96,97

Lipshultz and coworkers95 assessed the cardiac status of 115 ALL survivors treated with doxorubicin and found that 65% of those treated with 228 mg/m2 or more had increased left ventricular afterload.95 In a follow-up study, Lipshultz and colleagues96 reported that female sex, younger age at treatment, higher rate of administration of doxorubicin, and cumulative dose of doxorubicin were independent risk factors for the development of altered left ventricular function. Two recent cross-sectional studies suggest that the risk of left ventricular dysfunction is uncommon in children who received cumulative doses less than 300 mg per m2.98,99 In patients treated with cumulative doses less than 270 mg per m2, Sorensen and coworkers98 did not find that female sex and younger age at treatment were risk factors. However, because late cardiac abnormalities were seen in survivors who received only 90 mg per m2, there might be no absolute level below which cardiotoxicity can be prevented.

Because of the concerns about cardiotoxicity, most recent protocols limit anthracycline doses to less than 300 mg per m2, and the use of cardioprotectants such as dexrazoxane in children is under investigation.100 Primary care physicians who provide follow-up care for adult survivors should communicate with oncologists at the treating institution, obtain information about the cumulative dosage of anthracyclines, and discuss long-term screening. Because patients with anthracycline-induced cardiomyopathies generally have a prolonged asymptomatic interval before becoming symptomatic, interval screening is recommended. Optimal timing and testing modality for screening have not been prospectively studied. It is currently recommended that patients who received 300 mg/m2 or more of an anthracycline have a screening echocardiogram every 2 to 3 years to evaluate left ventricular function and shortening fraction.101 It is also important to question patients regarding symptoms of congestive heart failure and to aggressively evaluate them if present.

 

 

Hepatitis C

Because most ALL patients receive blood products during therapy, those treated before adequate blood donor screening for hepatitis C was initiated in the early 1990s are at risk for chronic liver disease.102 The prevalence of circulating hepatitis C virus (HCV) ribonucleic acid (RNA) in ALL patients treated in Italy before 1990 ranges from 23% to 49%.103-105 The natural history of ALL survivors with hepatitis C is not well understood. In an Italian study, only 4% of the 56 HCV-RNA seropositive patients had persistently elevated alanine aminotransferase (ALT) over the course of follow-up (mean=17 years).106 For a median of 14 years, 81 survivors of various childhood cancers who were HCV-RNA seropositive were followed, and none showed progression to liver failure.107 In contrast, Paul and coworkers108 reported that 12% of 75 leukemia survivors were anti-HCV positive, 6 of 9 had liver biopsies that showed at least moderate portal inflammation, and half had bridging fibrosis. The Centers for Disease Control and Prevention102 recommend universal screening with anti-HCV for all patients who received blood products before July 1992.

Second malignant neoplasms

Second malignant neoplasms (SMN) are rare in ALL survivors. Thirteen SMNs were diagnosed a median of 6.7 years from ALL diagnosis in a cohort study of 1597 ALL survivors and were associated with the use of radiation (8/13, CNS or head and neck) or chemotherapy (3/13, hematopoietic).109 The cumulative incidence of brain tumors at 20 years in a cohort of 1612 patients was only 1.39%, and more than half of these tumors were either low-grade or benign.110 CNS tumors did not occur in patients treated with chemotherapy alone. Thyroid tumors (predominantly papillary carcinoma) can rarely occur after treatment with cranial or craniospinal irradiation.111,112 Cases of basal cell carcinoma along the spinal axis have also been reported in patients treated with craniospinal irradiation.113,114

Therapy-related acute myelogenous leukemia (t-AML) has been seen following treatment of several childhood cancers, such as ALL and Hodgkin’s and non– Hodgkin’s lymphoma. Cohort studies have shown that agents with leukemogenic potential include alklyating agents and epidophyllotoxin chemotherapy.115-121 Most t-AMLs occur within 8 years of treatment, although cases occurring up to 13 years have been reported.115 Myelodysplasia (especially pancytopenia) generally precedes t-AML. The risk of t-AML following treatment for ALL has been small in 2 cohort studies.109,122 However, because precancerous states (myelodysplastic changes or myelodysplastic syndrome) are usually antecedent to t-AML and early diagnosis may improve outcomes, most institutions recommend obtaining a complete blood count (CBC) with a platelet count and a white blood cell differential in the routine follow-up of ALL survivors who have been treated with an alkylating agent, such as cyclophosphamide, or an epidophyllotoxin, such as etoposide. How long and how frequently a CBC should be obtained in follow-up of an ALL survivor have not been established.

Fertility and reproduction

Most antimetabolite-based treatment protocols for ALL do not affect long-term fertility for men or women.123,124 Craniospinal and abdominal irradiation have been associated with infertility in both sexes but are no longer used for ALL.125-127 Cyclophosphamide (an alkylating agent commonly used in earlier protocols but currently limited to high-risk patients) is also associated with infertility in a dosedependent fashion in both sexes.124,128,129 Resolution of germ-cell dysfunction may occur in men over time, but fertility remains poor for some. Women survivors treated with craniospinal or abdominal irradiation or with cyclophosphamide are at risk for ovarian failure and premature menopause and thus may be at increased risk for osteoporosis. If ovarian failure is suspected, measurement of follicle-stimulating hormone, luteinizing hormone, and serum estradiol and an evaluation by an endocrinologist should be considered.

ALL survivors should know that preliminary studies suggest that treatment is not associated with an increase in congenital malformations of their offspring. In a population-based prospective cohort study an increased rate of congenital defects was not found among 299 adult survivors.130

Ocular abnormalities

Ocular abnormalities in patients treated with CRT are common but generally asymptomatic. Two studies have evaluated the effect of CRT and systemic corticosteroids on the eyes. In a study of 82 ALL survivors who were a mean of 32 months after completion of therapy, 52% of the patients had posterior subcapsular cataracts (PSC) that were generally not visually significant and were not related to age at treatment or gender.131 Eighty-three percent of the 18 patients who had received CRT and systemic corticosteroids were noted to have asymptomatic ocular abnormalities after a median surveillance of 4.1 years.132 Optical densities of the lens were seen in 13 of the 18 of the survivors. There have been no published studies evaluating long-term survivors who received systemic corticosteroids without CRT. Periodic vision and cataract screening is recommended for ALL survivors treated with CRT and should be considered for all survivors of ALL until the risk of prolonged corticosteroid use in childhood is better understood.

 

 

Dental and periodontal disease

ALL survivors, especially those treated with CRT, are more likely to have problems with tooth development and be at risk for periodontal disease. In a large retrospective evaluation of dental records, 39.5% of ALL survivors had a dental abnormality, including root stunting (24.4%), microdontia (18.9%), or hypodontia (8.5%).133 Patients who were treated at an age younger than 8 years or who received CRT had more dental abnormalities than the other groups. Similar findings were seen in 2 smaller cross-sectional studies. Abnormal dental development occurred in 95% of all patients and 100% of patients aged 5 years or younger at diagnosis.134 Abnormalities included tooth agenesis, arrested tooth development, microdontia, and enamel dysplasia. Patients who received CRT and those treated at an age younger than 5 years had higher severity scores. Survivors did not have increased caries.135 However, patients younger than 5 years who were treated with cranial irradiation were found to have higher plaque and gingivitis scores, suggesting an increased risk of periodontal disease. A periodic dental and periodontal evaluation is recommended for survivors treated with CRT or at a young age.

Thyroid-related disorders

Following treatment with CRT, hypothyroidism infrequently occurs in ALL survivors through damage to the hypothalamic-pituitary-thyroid axis and/or the direct effect of radiation of the gland. Mohn and colleagues136 reported that 8 of 24 childhood ALL survivors who had received CRT (either 18 or 24 Gy) had either a low basal thyroid-stimulating hormone (TSH) or low peak TSH after thyrotropin-releasing hormone stimulation. Robison and colleagues137 reported that 10% of 175 ALL survivors who had been treated with either 18 or 24 Gy CRT or craniospinal radiation (CS-RT) therapy had a thyroid abnormality, including 5 children with primary hypothyroidism. Pasqualini and colleagues138 reported that 6 of 10 ALL survivors who received either CRT or CS-RT had subtle evidence of primary hypothyroidism. In contrast, 3 cross-sectional studies did not find evidence of primary hypothyroidism in 13, 31, and 64 patients, respectively.1,139-141 Littley and coworkers142 suggest that hypopituitarism is commonly underdiagnosed secondary to the subtle manifestations and insidious progression of disease. Radioactive scatter to the thyroid occurs with CRT in a dose-dependent fashion,143 and ALL survivors treated with either 18 or 24 Gy CRT are at risk for secondary hypothyroidism, thyroid nodules, and thyroid carcinoma.111 Periodic screening with TSH and free T-4 are recommended in ALL survivors treated with CRT. Further screening of the asymptomatic survivor with thyrotropin-releasing hormone stimulation test or ultrasound of the thyroid gland are costly and have not been prospectively studied.

Pulmonary late effects

ALL survivors may have an increased prevalence of mild, generally subclinical, restrictive pulmonary disease. In a small cross-sectional study of ALL survivors, Shaw and coworkers144 reported mild restrictive changes, with patients treated at a younger age at higher risk. Similarly, an analysis of 70 leukemia survivors found mild but significant decreases in forced vital capacity (FVC), forced expiratory volume in 1 second (FEV-1), total lung capacity (TLC), and transfer for carbon monoxide (DLCO).42 Cyclophosphamide, craniospinal irradiation, and a history of chest infections during treatment were independent variables associated with reductions in FEV-1, FVC, and TLC, while anthracyclines and craniospinal irradiation were associated with reductions in DLCO. ALL survivors also had impaired submaximal and maximal exercise capacity. These findings were further supported by analysis of a recent cross-sectional study of 128 patients a median of 7.6 years from therapy completion that reported an increased prevalence of subclinical restrictive pulmonary disease in ALL survivors.145 The long-term consequences and the possible role of smoking or other inhalant exposures need to be studied.

Liver dysfunction (Non-Hepatitis C)

During treatment with methotrexate (especially high-dose ranges) elevations of transaminases are common and generally transient. Two small longitudinal studies following ALL survivors for up to 7 years after completion of therapy did not report any patients with persistent transaminasemia, although Bessho and colleagues noted that 6 of 13 of their ALL survivors had elevated 2-hour postprandial bile acid levels, a more sensitive predictor of liver cirrhosis than transaminase level.146,147 Farrow and coworkers148 found that of 114 survivors who had ALT elevations greater than 5 times the upper limit of normal during therapy, only 17 (14.9%) had elevations persistently. Eight of these patients had chronic HCV infections. Of the remaining 9 patients, only 1 had a persistently elevated transaminase of greater than 2 times normal.

Although there are currently no data evaluating ALL survivors for long-term liver-related complications secondary to methotrexate, studies in patients with juvenile rheumatoid arthritis show that septal and portal fibrosis can occur with weekly low-dose methotrexate treatment of durations as short as 17 months.149 Obesity may be an associated risk factor for the development of cirrhosis in juvenile rheumatoid arthritis patients treated with methotrexate. Because of these potential risks, periodic measurement of ALT is recommended in follow-up of ALL survivors.

 

 

Urologic late effects

Cyclophosphamide is a long-recognized cause of hemorrhagic cystitis and a well-established bladder carcinogen. In a retrospective review150 of 314 children with ALL who were treated with cyclophosphamide between 1963 and 1973, 8% developed hemorrhagic cystitis. The frequency of diagnosis was not related to age or sex, but African American children were at higher risk. Cyclophosphamide-induced hemorrhagic cystitis generally presents during therapy, with children complaining of gross hematuria or irritative voiding complaints.151 Concurrent treatment with oral sodium 2-mercapatoethanesulfonate appears to markedly decrease the incidence of cyclophosphamide-induced hemorrhagic cystitis.152 In a nested case-control study of survivors of non–Hodgkin’s lymphoma, Travis and colleagues153 reported that there was a 2.4-fold increased risk of bladder cancer in patients treated with cumulative dosages of cyclophosphamide lower than 20 g. Because of the risk of chronic hemorrhagic cystitis and bladder cancer, ALL survivors treated with cyclophosphamide should have periodic screening urinalysis, and their review of systems should include voiding problems.

Alopecia

Alopecia is a bothersome late effect secondary to treatment with 24 Gy CRT for which there are no available treatments. In a retrospective study of 273 ALL survivors treated with CRT, 10% had alopecia.154

Acknowledgement

Dr Oeffinger received partial support for this work through the American Academy of Family Physicians Foundation Advanced Research Training Grant and the Robert Wood Johnson Foundation Generalist Physician Faculty Scholars Program.

We would like to thank Drs George Buchanan, Melissa Hudson, and Neyssa Marina for their critical review of this manuscript and Ms Laura Snell and Dr James Tysinger for their editing assistance.

Acute lymphoblastic leukemia (ALL), the most common childhood malignancy, accounts for almost one fourth of childhood cancers.1 The incidence of ALL has shown a moderate increase in the past 20 years. It is generally considered a cancer of younger children, with a peak incidence between the ages of 2 and 5 years. It is approximately 30% more common in boys than girls and approximately twice as common in white children as in black children. Improvements in ALL treatment during the past 20 years have increased the overall survival rate to approximately 80%. Thus, success in “curing” this childhood disease has resulted in a growing population of long-term survivors.

Since it is anticipated that the majority of long-term survivors of childhood ALL will seek health care from primary care physicians, it is important to understand the potential health problems that these patients may experience secondary to their cancer treatment.2-4 However, there are no articles in peer-reviewed family practice journals concerning the long-term follow-up of survivors of childhood ALL. Our clinical review briefly describes the evolution of the treatment for ALL, potential late effects of treatment, and recommendations for screening asymptomatic long-term survivors. Because this field of investigation is rapidly advancing and much of the available information is from cross-sectional and small cohort studies, these recommendations should not be viewed as a set of guidelines. Instead, our review is intended to contribute a foundation for primary care physicians providing longitudinal health care for ALL survivors while highlighting the areas needing further investigation. Also, because of the evolving changes in treatment protocols—and thus in potential late effects—it is essential to frequently communicate with our colleagues who specialize in the treatment of children with cancer.

Evolution of treatment for childhood all

During the 1940s childhood leukemias had a uniformly rapid fatal course over a short period of time, thus the designation of the term “acute.”5 In the late 1940s, Farber and colleagues6 found that aminopterin (a folic acid antagonist) could induce temporary remissions in leukemia. This discovery opened the era of clinical investigation into the uses of combined chemotherapy in treating childhood ALL Figure 1. The use of antimetabolite therapy for prolonged periods started in the late 1950s and early 1960s and suggested that it was possible for children to have an extended period of remission and possibly be cured. The addition of anthracyclines such as daunorubicin in the 1970s and the discovery that the enzyme L-asparaginase was useful in ALL therapy for depleting cells of the essential amino acid L-asparagine further boosted the ability to induce and sustain remission.7

A significant factor in morbidity and mortality from childhood ALL was the development of leukemia within the central nervous system (CNS). Left untreated, more than half the children with ALL developed leukemia in the CNS, even when bone marrow remission was sustained. In most patients, CNS relapse was followed by bone marrow relapse. Prophylactic radiation to the head and spine, introduced in the early 1970s, significantly decreased the incidence of CNS leukemia and resulted in significant advancement in long-term survival. However, in the early 1980s—as a consequence of the appreciation of neurodevelopmental delays and cognitive dysfunction secondary to relatively higher-dose (24 Gy) cranial irradiation (CRT), different methods of CNS treatment and prophylaxis evolved, either using lower-dose CRT (18 Gy), intensification of systemic methotrexate (MTX) dosaging, or intrathecal medications.8-11

Current treatment regimens divide therapy into remission induction, consolidation and CNS prophylaxis, and maintenance or continuous treatment. Induction chemotherapy (aimed at an initial reduction in blast cell percentage in the bone marrow to 5% or lower) consists of a 1-month schedule of vincristine, prednisone, and L-asparaginase alone or with other agents. Following induction, a consolidation phase consisting of an intensified period of treatment combines the use of antimetabolites and other agents with intrathecal chemotherapy for CNS prophylaxis. Maintenance therapy continues for a period of approximately 2 years and relies heavily on the use of methotrexate and 6-mercaptopurine. During the past 2 decades, recognized differences in the phenotype of the leukemic cells have resulted in protocol modifications to improve outcome and reduce toxicity. Increasingly, the T-cell phenotype of childhood ALL has been treated more effectively with intensified regimens that include cyclophosphamide, cytarabine, and anthracylines.12,13

Late effects of treatment for childhood all

A late effect is defined as any chronic or late occurring physical or psychosocial outcome persisting or developing more than 5 years after diagnosis of the cancer. In this section we describe potential late effects in order from more common or serious health problems to less common or serious ones Table 1. Many of these late effects may have long asymptomatic intervals before end-stage disease or serious health outcomes, such as survivors with hepatitis C who develop cirrhosis or those with a late-onset cardiomyopathy who present in congestive heart failure. Included in each section is a discussion about the screening tests commonly used in long-term follow-up programs that include asymptomatic survivors4Table 2. It should be stressed that the value of most of these tests has not been studied in this population in a prospective or a well-designed retrospective manner with adequate sample sizes, which limits the strength of the recommendations. Clinicians should be selective in ordering tests and providing preventive services and should actively incorporate the patient’s concerns and fears when arriving at an individualized decision on whether to perform a test. Figure 2 is a compilation of information pertinent to the follow-up of a survivor of childhood ALL, provided as a single-page template for clinical use.

 

 

Because bone marrow transplantation (BMT) is a relatively new therapy affecting a much smaller number of ALL survivors, our review does not include the late effects related to total body irradiation and BMT.

Cognitive dysfunction and performance at school and work

As described in the section on the evolution of treatment, 24 Gy CRT is associated with cognitive dysfunction. A meta-analysis of more than 30 retrospective and prospective studies established that 24 Gy CRT in combination with MTX resulted in a mean decrease of 10 points in full-scale intelligence quotient (IQ).9 Verbal scores were affected more than performance IQ, and changes were noted to be progressive. Although more than half the patients had mild to moderate learning problems, the outcomes were highly variable, and some patients experienced 20- to 30-point losses, while others had no discernable changes.9,14 Deficits have been noted in measures of visual-spatial abilities, attention-concentration, nonverbal memory, and somatosensory functioning.8-10,15-20 Studies have also shown that girls and patients treated with CRT before the age of 4 years are at significantly higher risk. Neuropathologic changes resulting from 24 Gy CRT include leukoencephalopathy, mineralizing microangiopathy, subacute necrotizing leukomyelopathy, and intracerebral calcifications, commonly with subsequent cerebral atrophy and microcephally.21,22

Treatment with 18 Gy CRT in combination with chemotherapy also affects cognition, though not as profoundly as with 24 Gy CRT. In a retrospective study of children with ALL, randomized by risk group to receive either 18 Gy CRT with chemotherapy or chemotherapy alone, 66 survivors were subsequently tested using several cognitive measures.23 Girls who were treated with CRT/chemotherapy had a mean IQ 9 points lower than those treated with chemotherapy alone. All patients had impairments in verbal coding and short-term memory regardless of CRT use or MTX dose, suggesting that another agent such as glucocorticoids may be responsible. Other small prospective and retrospective studies have found a mild decrease in full-scale IQ in patients treated with 18 Gy CRT/chemotherapy, although subanalysis generally showed that changes were only significant for girls and patients treated at a younger age.24-27

Recent studies suggest that neurodevelopmental outcomes for survivors treated with chemotherapy alone are generally positive.28 An analysis of 30 survivors whose condition was diagnosed before the age of 12 months showed no decrease in 6 cognitive and motor indices and no sex differences.29 Though full-scale IQ was normal, Brown and colleagues30 reported that girls had significantly decreased nonverbal scores in a study of 47 ALL survivors. Fine motor disturbances and manual dexterity difficulties, which may compound learning difficulties, have been seen in 25% to 33% of ALL survivors evaluated in 2 small cross-sectional studies.31,32 Changes in cerebellar-frontal subsystems that correlate with neuropsychological deficits have also been seen in ALL patients treated with chemotherapy alone.33

The Children’s Cancer Group investigated the impact of treatment on scholastic performance of 593 adult survivors, compared with 409 sibling controls.34 Patients treated with 24 Gy CRT were more likely to enter special education or learning-disabled programs, with relative risks of 4.1 and 5.3, respectively. Previous treatment with 18 Gy CRT had less impact, with a relative risk of 4.0 to enter a special education program but no increased risk of entering a learning-disabled program. Patients treated with CRT (18 or 24 Gy) were just as likely to enter gifted and talented programs as their sibling controls. In general, survivors were as likely to finish high school and enter college as controls, but those treated with 24 Gy or treated before the age of 6 years were less likely to enter college. There were no sex differences in educational achievements.

There are no studies that explore problems in job acquisition, promotion, and retention for ALL survivors with evidence of cognitive dysfunction. Abstract thinking abilities in higher-level decision making may be problematic for some ALL survivors, particularly those treated with 24 Gy CRT. Further study is warranted, particularly in evaluating methods to assist at-risk survivors in developing job skills and applying for a job.

Obesity, physical inactivity, and risk of premature cardiovascular disease

Several retrospective cohort and cross-sectional studies have shown an increased incidence and prevalence of obesity in ALL survivors. Early studies suggested that the resulting obesity was secondary to CRT, with 38% to 57% of the survivors having a body mass index (BMI) >2 standard deviations (SDs) above the norm at the time of attainment of final height.35-38 Two recent cross-sectional studies suggest that the increased prevalence of obesity may be due to other factors. Van Dongen-Melman and coworkers39 compared the weight gain and BMI of 113 ALL survivors who had received CRT/chemotherapy or chemotherapy alone and found that children treated with a combination of prednisone and dexamethasone had the highest prevalence of obesity (44%).39 Talvensaari and colleagues40 evaluated 50 childhood cancer survivors with a median age of 18 years (including 28 ALL patients) and found an increased prevalence of obesity in survivors that was not associated with CRT.

 

 

Obesity in ALL survivors may be due in part to reduced physical activity. In a small cross-sectional study with sibling controls, ALL survivors had decreased activity levels and total daily energy expenditures that correlated with their percentage of body fat.41 Maximal and submaximal exercise capacity were reduced in another cross-sectional study.42 Similarly, in a study of 53 ALL survivors with a longer interval from ALL diagnosis (mean=10.5 years), 25% and 31%, respectively, were unable to reach normal maximal oxygen uptake and normal oxygen uptake at the anaerobic threshold.43

Changes in gross motor skills may also affect the physical activity level of ALL survivors. Balance, strength, running speed and agility, and hand grip strength were decreased in a cohort of 36 ALL survivors with a median age of 9.3 years.44 In a follow-up of this cohort, Wright and coworkers45 reported that the ALL survivors had significantly less active and passive dorsiflexion range of motion of the ankle than did controls. Younger age at diagnosis and female sex were significant predictors, while treatment with CRT did not increase risk. These studies suggest that ALL survivors should be assessed for gross motor deficits that might alter exercise choices.

In the general population, obesity and physical inactivity are risk factors for cardiovascular disease. Obesity (an especially important risk factor during young adulthood) enhances the development of hypertension, dyslipidemia, and insulin resistance.46-48 Because the median age of ALL survivors is still relatively young, there are no cohort or case-control studies evaluating the treatment-related risk of premature onset of coronary artery disease. Talvensaari and coworkers40 reported that 50 childhood cancer survivors (including 28 ALL survivors) had an increased risk of fasting hyperinsulinemia and reduced high-density lipoprotein (HDL) cholesterol compared with 50 age- and sex-matched controls. Eight of the cancer survivors with reduced spontaneous growth hormone (GH) secretion (4/8 had received CRT) had obesity, hyperinsulinemia, and reduced HDL cholesterol, fitting the criteria for cardiac dysmetabolic syndrome, a clustering of metabolic problems associated with a markedly increased risk of cardiovascular disease.49

Studies of noncancer populations may shed light on the cardiovascular risk of ALL survivors with GH deficiency. Hypopituitarism with GH deficiency in adults is associated with increased vascular mortality.50-52 Adults with GH deficiency also have an increased prevalence of dyslipidemia53,54 and insulin resistance,55 that may improve with GH therapy.56,57

Counseling on the benefits of proper diet and exercise is an important component of long-term care for ALL survivors. Periodic analysis of lipoproteins has not been prospectively studied in ALL survivors, but the US Preventive Services Task Force states that adolescents and young adults who have major risk factors for cardiovascular disease should be screened.58

Psychosocial well-being of all survivors

The long-term psychosocial welfare of ALL survivors is complex. A population-based sibling-matched control study of 93 ALL survivors who were at least 15 years postdiagnosis showed no difference in quality of life or mental health.59 Similarly, no differences were found in symptoms of anxiety and posttraumatic stress in 130 leukemia survivors and 155 controls.60 In contrast, a large cooperative study of the Children’s Cancer Group and the National Institutes of Health evaluated 580 adult survivors and 396 sibling controls and reported that survivors had greater negative mood and reported more tension, depression, anger, and confusion.61 Female, minority, and unemployed survivors reported the highest total mood disturbance. Issues related to late effects, especially cognitive dysfunction, obesity, and physical inactivity, may have an impact on the mental health of survivors.

Few data are available on the risk behavior of ALL survivors. In a cohort study of 592 young adult ALL survivors and 409 sibling controls, Tao and colleagues62 reported that ALL survivors were less likely to start smoking, but once they started they were no more likely to quit than their siblings. Fourteen percent of the ALL survivors were smokers. Although no prospective studies have evaluated the effect of smoking on the incidence and severity of late effects of ALL treatment, it will have an impact on survivors with cardiovascular risk factors, restrictive pulmonary disease, and osteopenia. Counseling on smoking cessation is imperative in the long-term health care of ALL survivors.

Osteopenia and osteoporosis

Several well-designed small to medium-size cross-sectional studies of childhood cancer survivors63-65 and ALL survivors66-71 with median ages at evaluation ranging from 12 to 25 years consistently showed reduction in bone mineral density, bone mass content (BMC), and/or age-adjusted bone mass. Age at diagnosis, interval since treatment, sex, and cumulative dosages of MTX and corticosteroids have not been consistently associated with reduction in bone mass. In contrast, CRT has consistently been identified as a risk factor, although the 3 studies that evaluated GH status showed variation in the relationship of GH deficiency and reduced bone mass.69-71 Impairment of peak bone mass is likely multifactorial in etiology, with predisposing risk factors including altered bone metabolism at the time of onset of leukemia, interference in bone metabolism by corticosteroids and MTX, and impaired bone growth and skeletal maturation caused by pituitary dysfunction/GH deficiency. In an ongoing prospective cohort study, Atkinson and coworkers72 reported that by 6 months of therapy for ALL, 64% of the children had a reduction from baseline measures of BMC, and by the end of 2 years of therapy 83% were osteopenic. Hypomagnesemia due to renal wasting of magnesium after treatment with high-dose corticosteroids and/or aminoglycosides was associated with the progression in changes and may be a key factor in the alteration of bone metabolism.

 

 

Reduction in peak bone mass in young adults is a significant risk factor for developing osteoporosis and subsequent fracture, and measures to prevent or reverse bone loss are important. Exercise increases bone density in obese children73 and young adults74 and has recently been shown by meta-analysis75 to prevent or reverse almost 1% of bone loss per year in pre- and postmenopausal women. With ALL survivors likely to be less physically active,41-43 it is essential to counsel them on the benefits of exercise in preventing cardiovascular disease and osteoporosis and help them develop an exercise plan. Additionally, counseling on calcium intake and avoidance of smoking is important. Though bone densitometry has not been an effective screening test for the general population, it has value in high-risk groups.76,77 Prospective randomized trials are needed to evaluate the usefulness and frequency of screening.

GH deficiency

Cross-sectional and longitudinal studies have consistently shown that patients treated with 24 Gy CRT have a decrease in median height of approximately 1 to 1.5 SD score, or 5 to 10 cm.37,78-84 Treatment with 18 Gy CRT85 or chemotherapy alone86,87 affect the final height to a lesser degree. Sklar and coworkers88 reported a change in final height SD score of -0.65 for patients treated with 18 Gy CRT and -0.49 for those treated with chemotherapy alone. Girls and patients treated at a younger age (<5 years) have the greatest growth reduction.37,78,88,89 These changes are thought to be secondary to GH deficiency, resulting in a blunted pubertal growth spurt. The greater the deficiency, the more profound the impairment of growth.90 Brennan and colleagues71 reported a median decrement in final height of 2.1 SD in patients with severe GH deficiency. Treatment with GH in these patients usually results in near normalization of final height.

Though GH therapy is generally stopped when children reach their final height or by the age of 18 years, deficiency persists. In a small cross-sectional study of 30 ALL survivors, 9 of 15 patients who received 24 Gy CRT (median age=21.4 years) were GH deficient.91 In another cross-sectional analysis of the GH status of 32 ALL survivors (median age=23 years), 21 of 32 were GH deficient, including 9 who were severely deficient.71 The consequences of GH deficiency in adulthood are not well understood. Small studies suggest that GH replacement may improve bone mineral density,92 body composition,93 and quality of life.94

Late onset anthracycline-induced cardiomyopathy

Anthracyclines (notably daunorubicin and doxorubicin) are often used during the induction phase of treatment, with some protocols using moderate to high dosages (Ž350 mg/m2) for high-risk patients. In the past 10 years it has become apparent that childhood cancer patients treated with an anthracycline are at increased risk for developing late-onset cardiomyopathy.95-97 Classically, anthracycline-induced cardiomyopathy is characterized by elevated afterload followed by the development of a dilated thin-walled left ventricle. Over time this can lead to a stiff and poorly compliant left ventricle. Most patients are asymptomatic, but longitudinal studies suggest that a significant proportion will experience progressive changes and may develop congestive heart failure.96,97

Lipshultz and coworkers95 assessed the cardiac status of 115 ALL survivors treated with doxorubicin and found that 65% of those treated with 228 mg/m2 or more had increased left ventricular afterload.95 In a follow-up study, Lipshultz and colleagues96 reported that female sex, younger age at treatment, higher rate of administration of doxorubicin, and cumulative dose of doxorubicin were independent risk factors for the development of altered left ventricular function. Two recent cross-sectional studies suggest that the risk of left ventricular dysfunction is uncommon in children who received cumulative doses less than 300 mg per m2.98,99 In patients treated with cumulative doses less than 270 mg per m2, Sorensen and coworkers98 did not find that female sex and younger age at treatment were risk factors. However, because late cardiac abnormalities were seen in survivors who received only 90 mg per m2, there might be no absolute level below which cardiotoxicity can be prevented.

Because of the concerns about cardiotoxicity, most recent protocols limit anthracycline doses to less than 300 mg per m2, and the use of cardioprotectants such as dexrazoxane in children is under investigation.100 Primary care physicians who provide follow-up care for adult survivors should communicate with oncologists at the treating institution, obtain information about the cumulative dosage of anthracyclines, and discuss long-term screening. Because patients with anthracycline-induced cardiomyopathies generally have a prolonged asymptomatic interval before becoming symptomatic, interval screening is recommended. Optimal timing and testing modality for screening have not been prospectively studied. It is currently recommended that patients who received 300 mg/m2 or more of an anthracycline have a screening echocardiogram every 2 to 3 years to evaluate left ventricular function and shortening fraction.101 It is also important to question patients regarding symptoms of congestive heart failure and to aggressively evaluate them if present.

 

 

Hepatitis C

Because most ALL patients receive blood products during therapy, those treated before adequate blood donor screening for hepatitis C was initiated in the early 1990s are at risk for chronic liver disease.102 The prevalence of circulating hepatitis C virus (HCV) ribonucleic acid (RNA) in ALL patients treated in Italy before 1990 ranges from 23% to 49%.103-105 The natural history of ALL survivors with hepatitis C is not well understood. In an Italian study, only 4% of the 56 HCV-RNA seropositive patients had persistently elevated alanine aminotransferase (ALT) over the course of follow-up (mean=17 years).106 For a median of 14 years, 81 survivors of various childhood cancers who were HCV-RNA seropositive were followed, and none showed progression to liver failure.107 In contrast, Paul and coworkers108 reported that 12% of 75 leukemia survivors were anti-HCV positive, 6 of 9 had liver biopsies that showed at least moderate portal inflammation, and half had bridging fibrosis. The Centers for Disease Control and Prevention102 recommend universal screening with anti-HCV for all patients who received blood products before July 1992.

Second malignant neoplasms

Second malignant neoplasms (SMN) are rare in ALL survivors. Thirteen SMNs were diagnosed a median of 6.7 years from ALL diagnosis in a cohort study of 1597 ALL survivors and were associated with the use of radiation (8/13, CNS or head and neck) or chemotherapy (3/13, hematopoietic).109 The cumulative incidence of brain tumors at 20 years in a cohort of 1612 patients was only 1.39%, and more than half of these tumors were either low-grade or benign.110 CNS tumors did not occur in patients treated with chemotherapy alone. Thyroid tumors (predominantly papillary carcinoma) can rarely occur after treatment with cranial or craniospinal irradiation.111,112 Cases of basal cell carcinoma along the spinal axis have also been reported in patients treated with craniospinal irradiation.113,114

Therapy-related acute myelogenous leukemia (t-AML) has been seen following treatment of several childhood cancers, such as ALL and Hodgkin’s and non– Hodgkin’s lymphoma. Cohort studies have shown that agents with leukemogenic potential include alklyating agents and epidophyllotoxin chemotherapy.115-121 Most t-AMLs occur within 8 years of treatment, although cases occurring up to 13 years have been reported.115 Myelodysplasia (especially pancytopenia) generally precedes t-AML. The risk of t-AML following treatment for ALL has been small in 2 cohort studies.109,122 However, because precancerous states (myelodysplastic changes or myelodysplastic syndrome) are usually antecedent to t-AML and early diagnosis may improve outcomes, most institutions recommend obtaining a complete blood count (CBC) with a platelet count and a white blood cell differential in the routine follow-up of ALL survivors who have been treated with an alkylating agent, such as cyclophosphamide, or an epidophyllotoxin, such as etoposide. How long and how frequently a CBC should be obtained in follow-up of an ALL survivor have not been established.

Fertility and reproduction

Most antimetabolite-based treatment protocols for ALL do not affect long-term fertility for men or women.123,124 Craniospinal and abdominal irradiation have been associated with infertility in both sexes but are no longer used for ALL.125-127 Cyclophosphamide (an alkylating agent commonly used in earlier protocols but currently limited to high-risk patients) is also associated with infertility in a dosedependent fashion in both sexes.124,128,129 Resolution of germ-cell dysfunction may occur in men over time, but fertility remains poor for some. Women survivors treated with craniospinal or abdominal irradiation or with cyclophosphamide are at risk for ovarian failure and premature menopause and thus may be at increased risk for osteoporosis. If ovarian failure is suspected, measurement of follicle-stimulating hormone, luteinizing hormone, and serum estradiol and an evaluation by an endocrinologist should be considered.

ALL survivors should know that preliminary studies suggest that treatment is not associated with an increase in congenital malformations of their offspring. In a population-based prospective cohort study an increased rate of congenital defects was not found among 299 adult survivors.130

Ocular abnormalities

Ocular abnormalities in patients treated with CRT are common but generally asymptomatic. Two studies have evaluated the effect of CRT and systemic corticosteroids on the eyes. In a study of 82 ALL survivors who were a mean of 32 months after completion of therapy, 52% of the patients had posterior subcapsular cataracts (PSC) that were generally not visually significant and were not related to age at treatment or gender.131 Eighty-three percent of the 18 patients who had received CRT and systemic corticosteroids were noted to have asymptomatic ocular abnormalities after a median surveillance of 4.1 years.132 Optical densities of the lens were seen in 13 of the 18 of the survivors. There have been no published studies evaluating long-term survivors who received systemic corticosteroids without CRT. Periodic vision and cataract screening is recommended for ALL survivors treated with CRT and should be considered for all survivors of ALL until the risk of prolonged corticosteroid use in childhood is better understood.

 

 

Dental and periodontal disease

ALL survivors, especially those treated with CRT, are more likely to have problems with tooth development and be at risk for periodontal disease. In a large retrospective evaluation of dental records, 39.5% of ALL survivors had a dental abnormality, including root stunting (24.4%), microdontia (18.9%), or hypodontia (8.5%).133 Patients who were treated at an age younger than 8 years or who received CRT had more dental abnormalities than the other groups. Similar findings were seen in 2 smaller cross-sectional studies. Abnormal dental development occurred in 95% of all patients and 100% of patients aged 5 years or younger at diagnosis.134 Abnormalities included tooth agenesis, arrested tooth development, microdontia, and enamel dysplasia. Patients who received CRT and those treated at an age younger than 5 years had higher severity scores. Survivors did not have increased caries.135 However, patients younger than 5 years who were treated with cranial irradiation were found to have higher plaque and gingivitis scores, suggesting an increased risk of periodontal disease. A periodic dental and periodontal evaluation is recommended for survivors treated with CRT or at a young age.

Thyroid-related disorders

Following treatment with CRT, hypothyroidism infrequently occurs in ALL survivors through damage to the hypothalamic-pituitary-thyroid axis and/or the direct effect of radiation of the gland. Mohn and colleagues136 reported that 8 of 24 childhood ALL survivors who had received CRT (either 18 or 24 Gy) had either a low basal thyroid-stimulating hormone (TSH) or low peak TSH after thyrotropin-releasing hormone stimulation. Robison and colleagues137 reported that 10% of 175 ALL survivors who had been treated with either 18 or 24 Gy CRT or craniospinal radiation (CS-RT) therapy had a thyroid abnormality, including 5 children with primary hypothyroidism. Pasqualini and colleagues138 reported that 6 of 10 ALL survivors who received either CRT or CS-RT had subtle evidence of primary hypothyroidism. In contrast, 3 cross-sectional studies did not find evidence of primary hypothyroidism in 13, 31, and 64 patients, respectively.1,139-141 Littley and coworkers142 suggest that hypopituitarism is commonly underdiagnosed secondary to the subtle manifestations and insidious progression of disease. Radioactive scatter to the thyroid occurs with CRT in a dose-dependent fashion,143 and ALL survivors treated with either 18 or 24 Gy CRT are at risk for secondary hypothyroidism, thyroid nodules, and thyroid carcinoma.111 Periodic screening with TSH and free T-4 are recommended in ALL survivors treated with CRT. Further screening of the asymptomatic survivor with thyrotropin-releasing hormone stimulation test or ultrasound of the thyroid gland are costly and have not been prospectively studied.

Pulmonary late effects

ALL survivors may have an increased prevalence of mild, generally subclinical, restrictive pulmonary disease. In a small cross-sectional study of ALL survivors, Shaw and coworkers144 reported mild restrictive changes, with patients treated at a younger age at higher risk. Similarly, an analysis of 70 leukemia survivors found mild but significant decreases in forced vital capacity (FVC), forced expiratory volume in 1 second (FEV-1), total lung capacity (TLC), and transfer for carbon monoxide (DLCO).42 Cyclophosphamide, craniospinal irradiation, and a history of chest infections during treatment were independent variables associated with reductions in FEV-1, FVC, and TLC, while anthracyclines and craniospinal irradiation were associated with reductions in DLCO. ALL survivors also had impaired submaximal and maximal exercise capacity. These findings were further supported by analysis of a recent cross-sectional study of 128 patients a median of 7.6 years from therapy completion that reported an increased prevalence of subclinical restrictive pulmonary disease in ALL survivors.145 The long-term consequences and the possible role of smoking or other inhalant exposures need to be studied.

Liver dysfunction (Non-Hepatitis C)

During treatment with methotrexate (especially high-dose ranges) elevations of transaminases are common and generally transient. Two small longitudinal studies following ALL survivors for up to 7 years after completion of therapy did not report any patients with persistent transaminasemia, although Bessho and colleagues noted that 6 of 13 of their ALL survivors had elevated 2-hour postprandial bile acid levels, a more sensitive predictor of liver cirrhosis than transaminase level.146,147 Farrow and coworkers148 found that of 114 survivors who had ALT elevations greater than 5 times the upper limit of normal during therapy, only 17 (14.9%) had elevations persistently. Eight of these patients had chronic HCV infections. Of the remaining 9 patients, only 1 had a persistently elevated transaminase of greater than 2 times normal.

Although there are currently no data evaluating ALL survivors for long-term liver-related complications secondary to methotrexate, studies in patients with juvenile rheumatoid arthritis show that septal and portal fibrosis can occur with weekly low-dose methotrexate treatment of durations as short as 17 months.149 Obesity may be an associated risk factor for the development of cirrhosis in juvenile rheumatoid arthritis patients treated with methotrexate. Because of these potential risks, periodic measurement of ALT is recommended in follow-up of ALL survivors.

 

 

Urologic late effects

Cyclophosphamide is a long-recognized cause of hemorrhagic cystitis and a well-established bladder carcinogen. In a retrospective review150 of 314 children with ALL who were treated with cyclophosphamide between 1963 and 1973, 8% developed hemorrhagic cystitis. The frequency of diagnosis was not related to age or sex, but African American children were at higher risk. Cyclophosphamide-induced hemorrhagic cystitis generally presents during therapy, with children complaining of gross hematuria or irritative voiding complaints.151 Concurrent treatment with oral sodium 2-mercapatoethanesulfonate appears to markedly decrease the incidence of cyclophosphamide-induced hemorrhagic cystitis.152 In a nested case-control study of survivors of non–Hodgkin’s lymphoma, Travis and colleagues153 reported that there was a 2.4-fold increased risk of bladder cancer in patients treated with cumulative dosages of cyclophosphamide lower than 20 g. Because of the risk of chronic hemorrhagic cystitis and bladder cancer, ALL survivors treated with cyclophosphamide should have periodic screening urinalysis, and their review of systems should include voiding problems.

Alopecia

Alopecia is a bothersome late effect secondary to treatment with 24 Gy CRT for which there are no available treatments. In a retrospective study of 273 ALL survivors treated with CRT, 10% had alopecia.154

Acknowledgement

Dr Oeffinger received partial support for this work through the American Academy of Family Physicians Foundation Advanced Research Training Grant and the Robert Wood Johnson Foundation Generalist Physician Faculty Scholars Program.

We would like to thank Drs George Buchanan, Melissa Hudson, and Neyssa Marina for their critical review of this manuscript and Ms Laura Snell and Dr James Tysinger for their editing assistance.

References

 

1. MA, Ries LAG, Gurney JG, Ross JA. Leukemia. In: Ries LAG, Smith MA, Gurney JG, et al, eds. Cancer incidence and survival among children and adolescents: United States SEER Program 1975-1995, National Cancer Institute, SEER Program. Bethesda, MD: National Institutes of Health; 1999. NIH pub. no. 99-4649.

2. KC, Eshelman DA, Tomlinson GE, Buchanan GR. Programs for adult survivors of childhood cancer. J Clin Oncol 1998;16:2864-67.

3. DS. Transition to adult health care for adolescents and young adults with cancer. Cancer 1993;71:3411-14.

4. KC, Eshelman DA, Tomlinson GE, Buchanan GR, Foster BE. Grading of late effects in young adult survivors of childhood cancer followed in an ambulatory adult setting. Cancer 2000;88:1687-95.

5. H. The natural history of untreated acute leukemia. Ann NU Acad Sci 1954;60:322-58.

6. S, Diamond LK, Mercer RD, et al. Temporary remissions in acute leukemia in children produced by folic acid antagonist 4-aminopteroylglutamic acid (aminopterin). N Engl J Med 1948;238:787-93.

7. L, Gelber R, Cohen H, et al. Four-agent induction and intensive asparaginase therapy for treatment of childhood acute lymphoblastic leukemia. N Engl J Med 1986;315:657-63.

8. LL, Nesbit ME, Jr, Sather HN, Meadows AT, Ortega JA, Hammond GD. Factors associated with IQ scores in long-term survivors of childhood acute lymphoblastic leukemia. Am J Pediatr Hematol Oncol 1984;6:115-21.

9. P, Waters B, Said J, Stevens M. Cognitive effects of cranial irradiation in leukaemia: a survey and meta-analysis. J Child Psychol Psychiatry 1988;29:839-52.

10. JM, Kornblith AB, Jones D, et al. A comparative study of the long term psychosocial functioning of childhood acute lymphoblastic leukemia survivors treated by intrathecal methotrexate with or without cranial radiation. Cancer 1998;82:208-18.

11. D, Reaman G, Bleyer W, et al. Successful prevention of central nervous (CNS) leukemia without cranial radiation in children with high risk acute lymphoblastic leukemia (ALL): a preliminary report. Proc Am Soc Clin Oncol 1989;8:828.-

12. W, Shuster J, Falletta J, et al. Clinical features and outcome in childhood T-cell leukemia-lymphoma according to stage of thymocyte differentiation: a Pediatric Onoclogy Group study. Blood 1988;72:1891-97.

13. CH, Behm FG, Singh B, et al. Heterogeneity of presenting features and their relation to treatment outcome in 120 children with T-cell acute lymphoblastic leukemia. Blood 1990;75:174-79.

14. M, Azuma E, Ido M, et al. Ten-year survey of the intellectual deficits in children with acute lymphoblastic leukemia receiving chemoimmunotherapy. Med Pediatr Oncol 1993;21:435-40.

15. DP, Urion DK, Tarbell NJ, Niemeyer C, Gelber R, Sallan SE. Late effects of central nervous system treatment of acute lymphoblastic leukemia in childhood are sex-dependent. Dev Med Child Neurol 1990;32:238-48.

16. AE, Aitken K, Eden OB. Computerized psychometry screening in long-term survivors of childhood acute lymphoblastic leukemia. Pediatr Hematol Oncol 1988;5:197-208.

17. H, Huk WJ, Ueberall MA, et al. CNS late effects after ALL therapy in childhood. Part I: Neuroradiological findings in long-term survivors of childhood ALL—an evaluation of the interferences between morphology and neuropsychological performance—the German Late Effects Working Group. Med Pediatr Oncol 1997;28:387-400.

18. JA, Kaleita TA, Noll RB, et al. CNS prophylaxis of childhood leukemia: what are the long-term neurological, neuropsychological, and behavioral effects? Neuropsychol Rev 1991;2:147-77.

19. JA, Waters BG, Cousens P, Stevens MM. Neuropsychological sequelae of central nervous system prophylaxis in survivors of childhood acute lymphoblastic leukemia. J Consult Clin Psychol 1989;57:251-56.

20. J, Horrocks J, Britton PG, Kernahan J. Attentional ability among survivors of leukaemia. Arch Dis Child 1999;80:318-23.

21. AS, Nesbit ME. Neuropsychologic (cognitive) disabilities in long-term survivors of childhood cancer. Pediatrician 1991;18:11-19.

22. RK, Kovnar E, Langston J, et al. Long-term survivors of leukemia treated in infancy: factors associated with neuropsychologic status. J Clin Oncol 1992;10:1095-102.

23. DP, Tarbell NJ, Fairclough D, et al. Cognitive sequelae of treatment in childhood acute lymphoblastic leukemia: cranial radiation requires an accomplice. J Clin Oncol 1995;13:2490-96.

24. CL, Varni JW, Katz ER. Cognitive functioning in long-term survivors of childhood leukemia: a prospective analysis. J Dev Behav Pediatr 1990;11:301-05.

25. M, Brouwers P, Valsecchi MG, Van Veldhuizen A, Huisman J. Association of 1800 cGy cranial irradiation with intellectual function in children with acute lymphoblastic leukaemia. Lancet 1994;344:224-27.

26. E, Anderson V, Godber T, Ekert H. Risk factors for intellectual and educational sequelae of cranial irradiation in childhood acute lymphoblastic leukaemia. Br J Cancer 1996;73:825-30.

27. V, Godber T, Smibert E, Ekert H. Neurobehavioural sequelae following cranial irradiation and chemotherapy in children: an analysis of risk factors. Pediatr Rehabil 1997;1:63-76.

28. Bleyer A. CNS chemoradiotherapy of childhood leukemia: the plot thickens but the ending bodes well. J Clin Oncol 1995;13:2480-82.

29. TA, Reaman GH, MacLean WE, Sather HN, Whitt JK. Neurodevelopmental outcome of infants with acute lymphoblastic leukemia: a Children’s Cancer Group report. Cancer 1999;85:1859-65.

30. RT, Madan-Swain A, Walco GA, et al. Cognitive and academic late effects among children previously treated for acute lymphocytic leukemia receiving chemotherapy as CNS prophylaxis. J Pediatr Psychol 1998;23:333-40.

31. L. Clinical neurological findings of children with acute lymphoblastic leukaemia at diagnosis and during treatment. Eur J Pediatr 1993;152:115-19.

32. HA, Schoemaker MM, Hofte M, et al. Fine motor and handwriting problems after treatment for childhood acute lymphoblastic leukemia. Med Pediatr Oncol 1996;27:551-55.

33. PG, Ciesielski KT, Hart BL, Benzel EC, Sanders JA. Evidence for cerebellar-frontal subsystem changes in children treated with intrathecal chemotherapy for leukemia. Arch Neurol 1998;55:1561-68.

34. R, Fears TR, Robison LL, et al. Educational attainment in long-term survivors of childhood acute lymphoblastic leukemia. JAMA 1994;272:1427-32.

35. P, Chen CH. Prevalence of obesity in children after therapy for acute lymphoblastic leukemia. Am J Pediatr Hematol Oncol 1986;8:294-99.

36. I, Reilly JJ, Gibson BE, Donaldson MD. Patterns of obesity in boys and girls after treatment for acute lymphoblastic leukaemia. Arch Dis Child 1994;71:147-49.

37. MJ, Ochs JJ, Schriock EA, Carter M. A method of predicting adult height and obesity in long-term survivors of childhood acute lymphoblastic leukemia. J Clin Oncol 1992;10:128-33.

38. M, Didcock E, Davies HA, Ogilvy-Stuart AL, Wales JK, Shalet SM. High incidence of obesity in young adults after treatment of acute lymphoblastic leukemia in childhood. J Pediatr 1995;127:63-67.

39. Dongen-Melman JE, Hokken-Koelega AC, Hahlen K, De Groot A, Tromp CG, Egeler RM. Obesity after successful treatment of acute lymphoblastic leukemia in childhood. Pediatr Res 1995;38:86-90.

40. KK, Lanning M, Tapanainen P, Knip M. Long-term survivors of childhood cancer have an increased risk of manifesting the metabolic syndrome. J Clin Endocrinol Metab 1996;81:3051-55.

41. JT, Bell W, Webb DK, Gregory JW. Daily energy expenditure and physical activity in survivors of childhood malignancy. Pediatr Res 1998;43:607-13.

42. ME, Faragher EB, Jones PH, Woodcock A. Lung function and exercise capacity in survivors of childhood leukaemia. Med Pediatr Oncol 1995;24:222-30.

43. P, Gutjahr P, Stopfkuchen H. Physical performance in long-term survivors of acute leukaemia in childhood. Eur J Pediatr 1998;157:464-67.

44. MJ, Halton JM, Martin RF, Barr RD. Long-term gross motor performance following treatment for acute lymphoblastic leukemia. Med Pediatr Oncol 1998;3:86-90.

45. MJ, Halton JM, Barr RD. Limitation of ankle range of motion in survivors of acute lymphoblastic leukemia: a cross-sectional study. Med Pediatr Oncol 1999;32:279-82.

46. DS, Dietz WH, Srinivasan SR, Berenson GS. The relation of overweight to cardiovascular risk factors among children and adolescents: the Bogalusa Heart Study. Pediatrics 1999;103:1175-82.

47. M, Vanhala P, Kumpusalo E, Halonen P, Takala J. Relation between obesity from childhood to adulthood and the metabolic syndrome: population based study. BMJ 1998;317:319-21.

48. GS, Srinivasan SR, Bao W, et al. Association between multiple cardiovascular risk factors and atherosclerosis in children and young adults. N Engl J Med 1998;338:1650-56.

49. TC, Deedwania PC. The cardiovascular dysmetabolic syndrome. Am J Med 1998;105:77S-82S.

50. T, Bengtsson BA. Premature mortality due to cardiovascular disease in hypopituitism. Lancet 1990;336:285-88.

51. AS, Van’t Hoff W, Jones PJ, Clayton RN. The effect of hypopituitarism on life expectancy. J Clin Endocrinol Metab 1996;81:1169-72.

52. EM, Bulow B, Eskilsson J, Hagmar L. High incidence of cardiovascular disease and increased prevalence of cardiovascular risk factors in women with hypopituitarism not receiving growth hormone treatment: preliminary results. Growth Horm IGF Res 1999;9 (suppl):21-24.

53. MB. Effect of growth hormone on carbohydrate and lipid metabolism. Endocr Rev 1987;8:115-31.

54. FL, O’Neal D, Kamarudin N, Alford FP, Best JD. Growth hormone deficiency and cardiovascular risk. Baillieres Clin Endocrinol Metab 1998;12:199-216.

55. SA, Henderson A, Niththyananthan R, et al. The effects of short and long-term growth hormone replacement therapy in hypopituitary adults on lipid metabolism and carbohydrate tolerance. J Clin Endocrinol Metab 1995;80:356-63.

56. KA, Gray R, Anyaoku V, et al. Effects of four years’ treatment with biosynthetic human growth hormone (GH) on glucose homeostasis, insulin secretion and lipid metabolism in GH-deficient adults. Clin Endocrinol 1998;48:795-802.

57. D, Hew FL, Sikaris K, Ward G, Alford F, Best JD. Low density lipoprotein particle size in hypopituitary adults receiving conventional hormone replacement therapy. J Clin Endocrinol Metab 1996;81:2448-54.

58. Preventive Services Task Force. Guide to clinical preventive services. 2nd ed. Washington, DC: US Department of Health and Human Services; 1996.

59. PJ, Holen A, Glomstein A, et al. Long-term survival and quality of life in patients treated with a national ALL protocol 15-20 years earlier: IDM/HDM and late effects? Pediatr Hematol Oncol 1997;14:513-24.

60. AE. Posttraumatic distress in childhood cancer survivors and their parents. Med Pediatr Oncol 1998;1 (suppl):60-68.

61. LK, Chen E, Weiss R, et al. Comparison of psychologic outcome in adult survivors of childhood acute lymphoblastic leukemia versus sibling controls: a cooperative Children’s Cancer Group and National Institutes of Health study. J Clin Oncol 1997;15:547-56.

62. ML, Guo MD, Weiss R, et al. Smoking in adult survivors of childhood acute lymphoblastic leukemia. J Natl Cancer Inst 1998;90:219-25.

63. PB, Hough SF, Nel ED, van Riet FA, Beneke T, Wessels G. Bone mineral density in long-term survivors of childhood cancer. Int J Cancer Suppl 1998;11:44-7.

64. J, Hsieh K, Kalaitzoglou G, et al. Bone mineral density in young adult survivors of childhood cancer. J Pediatr Hematol Oncol 1998;20:241-45.

65. R, Brosnan P, Delpassand A, Zietz H, Klein MJ, Jaffe N. Osteopenia in young adult survivors of childhood cancer. Med Pediatr Oncol 1999;32:272-78.

66. V, Carlson ME, Roe TF, Ortega JA. Osteoporosis after cranial irradiation for acute lymphoblastic leukemia. J Pediatr 1990;117:238-44.

67. P, Komulainen J, Voutilainen R, et al. Reduced bone mineral density in long-term survivors of childhood acute lymphoblastic leukemia. J Pediatr Hematol Oncol 1998;20:234-40.

68. JT, Evans WD, Webb DK, Bell W, Gregory JW. Relative osteopenia after treatment for acute lymphoblastic leukemia. Pediatr Res 1999;45:544-51.

69. K, Holm K, Michaelsen KF, Hertz H, Muller J, Molgaard C. Bone mass after treatment for acute lymphoblastic leukemia in childhood. J Clin Oncol 1998;16:3752-60.

70. JJ, Kardos G, Roos JC, et al. Bone mineral density and markers of bone turnover in young adult survivors of childhood lymphoblastic leukaemia. Clin Endocrinol 1999;50:237-44.

71. BM, Rahim A, Mackie EM, Eden OB, Shalet SM. Clin Endocrinol 1998;48:777-783.

72. SA, Halton JM, Bradley C, Wu B, Barr RD. Bone and mineral abnormalities in childhood acute lymphoblastic leukemia: influence of disease, drugs and nutrition. Int J Cancer Suppl 1998;11:35-39.

73. B, Owens S, Okuyama T, Riggs S, Ferguson M, Litaker M. Effect of physical training and its cessation on percent fat and bone density of children with obesity. Obes Res 1999;7:208-14.

74. O, Kristinsson JO, Stefansson SO, Valdimarsson S, Sigurdsson G. Lean mass and physical activity as predictors of bone mineral density in 16-20-year old women. J Intern Med 1999;245:489-96.

75. I, van Croonenborg JJ, Kemper HC, Kostense PJ, Twisk JW. The effect of exercise training programs on bone mass: a meta-analysis of published controlled trials in pre- and postmenopausal women. Osteoporos Int 1999;9:1-12.

76. D, Johnell O, Wedel H. Meta-analysis of how well measures of bone mineral density predict occurrence of osteoporotic fractures. BMJ 1996;312:1254-59.

77. D, Sampietro-Colom L, Marshall D, Rico R, Granados A, Asua J. The effectiveness of bone density measurement and associated treatments for prevention of fractures: an international collaborative review. Int J Technol Assess Health Care 1998;14:237-54.

78. LL, Nesbit ME, Jr, Sather HN, Meadows AT, Ortega JA, Hammond GD. Height of children successfully treated for acute lymphoblastic leukemia: a report from the Late Effects Study Committee of Children’s Cancer Study Group. Med Pediatr Oncol 1985;13:14-21.

79. EA, Schell MJ, Carter M, Hustu O, Ochs JJ. Abnormal growth patterns and adult short stature in 115 long-term survivors of childhood leukemia. J Clin Oncol 1991;9:400-05.

80. M, Stanhope R, Chessells JM, Leiper AD. Impaired pubertal growth in acute lymphoblastic leukaemia. Arch Dis Child 1991;66:1403-07.

81. K, Dorffel W, Timme J, et al. Final height and puberty in 40 patients after antileukaemic treatment during childhood. Eur J Pediatr 1997;156:272-76.

82. P, Moell C, Cornu G, Malvaux P, Maes M. Subnormal growth during puberty in children treated for acute lymphoblastic leukemia. Pediatr Hematol Oncol 1992;9:217-22.

83. AC, van Doorn JW, Hahlen K, Stijnen T, de Muinck Keizer-Schrama SM, Drop SL. Long-term effects of treatment for acute lymphoblastic leukemia with and without cranial irradiation on growth and puberty: a comparative study. Pediatr Res 1993;33:577-82.

84. JA, Pollock BH, Jacaruso D, Morad A. Final attained height in patients successfully treated for childhood acute lymphoblastic leukemia. J Pediatr 1993;123:546-52.

85. AE, Adan L, Leverger G, Souberbielle JC, Schaison G, Brauner R. Growth hormone secretion, puberty and adult height after cranial irradiation with 18 Gy for leukaemia. Eur J Pediatr 1998;157:703-07.

86. J, Villaizan CJ, Garcia-Foncillas J, Azcona C, Salvador J, Sierrasesumaga L. Chemotherapy-induced growth hormone deficiency in children with cancer. Med Pediatr Oncol 1995;25:90-5.

87. J, Villaizan CJ, Garcia-Foncillas J, Salvador J, Sierrasesumaga L. Growth and growth hormone secretion in children with cancer treated with chemotherapy. J Pediatr 1997;131:105-12.

88. C, Mertens A, Walter A, et al. Final height after treatment for childhood acute lymphoblastic leukemia: comparison of no cranial irradiation with 1800 and 2400 centigrays of cranial irradiation. J Pediatr 1993;123:59-64.

89. A, Cacciari E, Rosito P, et al. Longitudinal growth and final height in long-term survivors of childhood leukaemia. Eur J Pediatr 1994;153:726-30.

90. TG, Byrne GC, Jones TW. Growth and growth hormone secretion after treatment for acute lymphoblastic leukemia in childhood 18-Gy versus 24-Gy cranial irradiation. J Pediatr Hematol Oncol 1995;17:167-71.

91. NH, Fisker S, Clausen N, Tuovinen V, Sindet-Pedersen S, Christiansen JS. Growth and endocrinological disorders up to 21 years after treatment for acute lymphoblastic leukemia in childhood. Med Pediatr Oncol 1998;30:351-56.

92. O’Halloran DJ, Tsatsoulis A, Whitehouse RW, Holmes SJ, Adams JE, Shalet SM. Increased bone density after recombinant human growth hormone (GH) therapy in adults with isolated GH deficiency. J Clin Endocrinol Metab 1993;76:1344-48.

93. F, Cuneo RC, Hesp R, Sonksen PH. The effects of treatment with recombinant human growth hormone on body composition and metabolism in adults with growth hormone deficiency. N Engl J Med 1989;321:1797-803.

94. P, Broman JE, Hetta J, et al. Quality of life in adults with growth hormone (GH) deficiency: response to treatment with recombinant human GH in a placebo-controlled 21-month trial. J Clin Endocrinol Metab 1995;80:3585-90.

95. SE, Colan SD, Gelber RD, Perez-Atayde AR, Sallan SE, Sanders SP. Late cardiac effects of doxorubicin therapy for acute lymphoblastic leukemia in childhood. N Engl J Med 1991;324:843-45.

96. SE, Lipsitz SR, Mone SM, et al. Female sex and drug dose as risk factors for late cardiotoxic effects of doxorubicin therapy for childhood cancer. N Engl J Med 1995;332:1738-43.

97. MA, Lipshultz SE. Epidemiology of anthracycline cardiotoxicity in children and adults. Semin Oncol 1998;25(suppl):72-85.

98. K, Levitt G, Bull C, Chessells J, Sullivan I. Anthracycline dose in childhood acute lymphoblastic leukemia: issues of early survival versus late cardiotoxicity. J Clin Oncol 1997;15:61-68.

99. K, Holm K, Lipsitz SR, et al. Relationship between cumulative anthracycline dose and late cardiotoxicity in childhood acute lymphoblastic leukemia. J Clin Oncol 1998;16:545-50.

100. LH. Ameliorating anthracycline cardiotoxicity in children with cancer: clinical trials with dexrazoxane. Semin Oncol 1998;25:86-92.

101. LJ, Graham T, Hurwitz R, et al. Guidelines for cardiac monitoring of children during and after anthracycline therapy: report of the Cardiology Committee of the Childrens Cancer Study Group. Pediatrics 1992;89:942-49.

102. for Disease Control and Prevention. Recommendations for prevention and control of hepatitis C virus (HCV) infection and HCV-related chronic disease. MMWR 1998;47:1-39.

103. M, Maggiore G, Silini E, Bono F, Vigano C. Hepatitis C virus infection in children treated for acute lymphoblastic leukemia. Blood 1994;84:2919-22.

104. SP, Ragusa R, Sciacca A, et al. Incidence and morbidity of infection by hepatitis C virus in children with acute lymphoblastic leukaemia. Eur J Pediatr 1994;153:271-75.

105. A, Testa M, Pontisso P, et al. Prevalence and natural history of hepatitis C infection in patients cured of childhood leukemia. Blood 1997;90:4628-33.

106. A, Alberti A. Hepatitis C virus serum markers and liver disease in children with leukemia. Leuk Lymphoma 1995;17:245-49.

107. S, Petris MG, Rossetti F, et al. Chronic hepatitis C virus infection after treatment for pediatric malignancy. Blood 1997;90:1315-20.

108. IM, Sanders J, Ruggiero F, Andrews T, Ungar D, Eyster ME. Chronic hepatitis C virus infections in leukemia survivors: prevalence, viral load, and severity of liver disease. Blood 1999;93:3672-77.

109. Dalton VM, Gelber RD, Li F, Donnelly MJ, Tarbell NJ, Sallan SE. Second malignancies in patients treated for childhood acute lymphoblastic leukemia. J Clin Oncol 1998;16:2848-53.

110. AW, Hancock ML, Pui CH, et al. Secondary brain tumors in children treated for acute lymphoblastic leukemia at St Jude Children’s Research Hospital. J Clin Oncol 1998;16:3761-67.

111. P, Straaten A, Gutjahr P. Secondary thyroid carcinoma after treatment for childhood cancer. Med Pediatr Oncol 1998;31:91-95.

112. Y, Leverger G, Carrere A, et al. Second thyroid neoplasms after prophylactic cranial irradiation for acute lymphoblastic leukemia. Am J Hematol 1998;59:91-94.

113. T, Ikuta H, Hibi S, Todo S. Second cutaneous neoplasms after acute lymphoblastic leukemia in childhood. Int J Hematol 1993;59:67-71.

114. J, Velasco-Benito JA, Pena-Penabad C, Armijo M. Basal cell carcioma in a girl after cobalt irradiation to the cranium for acute lymphoblastic leukemia: case report and literature review. Pediatr Dermatol 1996;13:54-57.

115. J, Philip P, Larsen SO, et al. Therapy-related myelodysplasia and acute myeloid leukemia: cytogenetic characteristics of 115 consecutive cases and risk in seven cohorts of patients treated intensively for malignant diseases in the Copenhagen series. Leukemia 1993;7:1975-86.

116. N, Shuster JJ, Bowman WP, et al. Intensive oral methotrexate protects against lymphoid marrow relapse in childhood B-precursor acute lymphoblastic leukemia. J Clin Oncol 1996;14:2803-11.

117. C, Hartmann JT, Kanz L, Bokemeyer C. Risk of secondary myeloid leukemia and myelodysplastic syndrome following standard-dose chemotherapy or high-dose chemotherapy with stem cell support in patients with potentially curable malignancies. J Cancer Res Clin Oncol 1998;124:207-14.

118. HM, Keating MJ. Therapy-related leukemia and myelodysplastic syndrome. Semin Oncol 1987;14:435-43.

119. MA, Rubinstein L, Anderson JR, et al. Secondary leukemia or myelodysplastic syndrome after treatment with epipodophyllotoxins. J Clin Oncol 1999;17:569-77.

120. MA, Rubinstein L, Cazenave L, et al. Report of the Cancer Therapy Evaluation Program monitoring plan for secondary acute myeloid leukemia following treatment with epipodophyllotoxins. J Natl Cancer Inst 1993;85:554-58.

121. CH, Relling MV, Rivera GK, et al. Epipodophyllotoxin-related acute myeloid leukemia: a study of 35 cases. Leukemia 1995;9:1990-96.

122. M, Akiyama Y, Koishi S, et al. Second malignancy following treatment of acute lymphoblastic leukemia in children. Int J Hematol 1998;67:397-401.

123. R, Clausen N, Siimes MA, et al. Reproduction following treatment for childhood leukemia: a population-based prospective cohort study of fertility and offspring. Med Pediatr Oncol 1991;19:459-66.

124. GA, Jenney ME. The reproductive system after childhood cancer. Br J Obstet Gynaecol 1998;105:946-53.

125. Wallace WH, Shalet SM, Tetlow LJ, Morris-Jones PH. Ovarian function following the treatment of childhood acute lymphoblastic leukaemia. Med Pediatr Oncol 1993;21:333-39.

126. MR, Robison LL, Nesbit ME, et al. Effects of radiation on ovarian function in long-term survivors of childhood acute lymphoblastic leukemia: a report from the Children’s Cancer Study Group. J Clin Oncol 1987;5:1759-65.

127. CA, Robison LL, Nesbit ME, et al. Effects of radiation on testicular function in long-term survivors of childhood acute lymphoblastic leukemia: a report from the Children’s Cancer Group. J Clin Oncol 1990;8:1981-87.

128. T, Kishi K, Imashuku S, et al. Testicular histology and function following long-term chemotherapy of acute leukemia in children and outcome of the patients who received testicular biopsy. Am J Pediatr Hematol Oncol 1986;8:288-93.

129. WH, Shalet SM, Lendon M, Morris-Jones PH. Male fertility in long-term survivors of childhood acute lymphoblastic leukaemia. Int J Androl 1991;14:312-19.

130. LB, Nicholson HS, Brasseux C, et al. Birth defects in offspring of adult survivors of childhood acute lymphoblastic leukemia: a Children’s Cancer Group/National Institutes of Health Report. Cancer 1996;78:169-76.

131. DL, Smith LE, Turner SJ, Gelber RD, Sallan SE. Ophthalmic evaluation of survivors of acute lymphoblastic leukemia. Ophthalmology 1988;95:151-55.

132. RG, Jr, Chauvenet AR, Smith TJ, Schwartz AC. Ophthalmic evaluation of long-term survivors of childhood acute lymphoblastic leukemia. Cancer 1986;58:963-68.

133. SC, Hopkins KP, Jones D, Crom D, Greenwald CA, Santana VM. Dental abnormalities in children treated for acute lymphoblastic leukemia. Leukemia 1997;11:792-96.

134. AL, Tarbell N, Valachovic RW, Gelber R, Schwenn M, Sallan S. Dentofacial development in long-term survivors of acute lymphoblastic leukemia: a comparison of three treatment modalities. Cancer 1990;66:2645-52.

135. AL, Waber DP, Sallan S, Tarbell NJ. The oral health of long-term survivors of acute lymphoblastic leukaemia: a comparison of three treatment modalities. Eur J Cancer B Oral Oncol 1995;31:250-52.

136. A, Chiarelli F, Di Marzio A, Impicciatore P, Marsico S, Angrilli F. Thyroid function in children treated for acute lymphoblastic leukemia. J Endocrinol Invest 1997;20:215-19.

137. LL, Nesbit ME, Sather HN, Meadows AT, Ortega JA, Hammond GD. Thyroid abnormalities in long-term survivors of childhood acute lymphoblastic leukemia. Pediatr Res 1985;19:266A.-

138. T, McCalla J, Berg S, et al. Subtle primary hypothyroidism in patients treated for acute lymphoblastic leukemia. Acta Endocrinol 1991;124:375-80.

139. CR, Miller JD, Guyda HJ, Esseltine DW, Chevalier LM, Freeman CR. Growth and development of long-term survivors of childhood acute lymphoblastic leukemia treated with and without prophylactic radiation of the central nervous system. Clin Invest Med 1985;8:307-14.

140. ML, Brecher ML, Glicksman AS, et al. Hypothalamic-pituitary function of children with acute lymphocytic leukemia after three forms of central nervous system prophylaxis: a retrospective study. Cancer 1986;57:1287-91.

141. EP, Leiper AD, Chessells JM. Thyroid function in children after treatment for acute lymphoblastic leukemia. Arch Dis Child 1988;64:631.-

142. MD, Shalet SM, Beardwell CG. Radiation and hypothalamic-pituitary function. Baillieres Clin Endocrinol Metab 1990;4:147-75.

143. F, Ohta K, Akanuma A, Sakata K. Dosimetry of radiation scattered to thyroid gland from prophylactic cranial irradiation for childhood leukemia. Pediatr Hematol Oncol 1994;11:47-53.

144. NJ, Tweeddale PM, Eden OB. Pulmonary function in childhood leukaemia survivors. Med Pediatr Oncol 1989;17:149-54.

145. K, Holm K, Olsen JH, Hertz H, Hesse B. Pulmonary function after treatment for acute lymphoblastic leukaemia in childhood. Br J Cancer 1998;78:21-27.

146. BL, Tanyer G, Poplack DG, et al. Transient acute hepatotoxicity of high-dose methotrexate therapy during childhood. NCI Monogr 1987;5:207-12.

147. F, Kinumaki H, Yokota S, Hayashi Y, Kobayashi M, Kamoshita S. Liver function studies in children with acute lymphocytic leukemia after cessation of therapy. Med Pediatr Oncol 1994;23:111-15.

148. AC, Buchanan GR, Zweiner RJ, Bowman WP, Winick NJ. Serum aminotransferase elevation during and following treatment of childhood acute lymphoblastic leukemia. J Clin Oncol 1997;15:1560-66.

149. PJ, Balistreri WF, Bove KE, Ballard ET, Passo MH. The relationship of hepatotoxic risk factors and liver histology in methotrexate therapy for juvenile rheumatoid arthritis. J Pediatr 1999;134:47-52.

150. HJ, Simone J, Aur RJA. Cyclophosphamide-induced hemorrhagic cystitis in children with leukemia. Cancer 1975;36:1572-76.

151. TJ, Benson RC. Cyclophosphamide-induced hemorrhagic cystitis: a review of 100 patients. Cancer 1988;61:451-57.

152. JM, Reed EC, Pippert GC, et al. Mesna compared with continuous bladder irrigation as uroprotection during high-dose chemotherapy and transplantation: a randomized trial. J Clin Oncol 1993;11:1306-10.

153. LB, Curtis RE, Glimelius B, et al. Bladder and kidney cancer following cyclophosphamide therapy for non-Hodgkin’s lymphoma. J Natl Cancer Inst 1995;87:524-30.

154. der Does-van den Berg A, de Vaan GAM, van Weerden JF, Hahlen K, van Weel-Sipman M, Veerman AJP. Late effects among long-term survivors of childhood acute leukemia in the Netherlands: a Dutch Childhood Leukemia Study Group report. Pediatr Res 1995;38:802-07.

References

 

1. MA, Ries LAG, Gurney JG, Ross JA. Leukemia. In: Ries LAG, Smith MA, Gurney JG, et al, eds. Cancer incidence and survival among children and adolescents: United States SEER Program 1975-1995, National Cancer Institute, SEER Program. Bethesda, MD: National Institutes of Health; 1999. NIH pub. no. 99-4649.

2. KC, Eshelman DA, Tomlinson GE, Buchanan GR. Programs for adult survivors of childhood cancer. J Clin Oncol 1998;16:2864-67.

3. DS. Transition to adult health care for adolescents and young adults with cancer. Cancer 1993;71:3411-14.

4. KC, Eshelman DA, Tomlinson GE, Buchanan GR, Foster BE. Grading of late effects in young adult survivors of childhood cancer followed in an ambulatory adult setting. Cancer 2000;88:1687-95.

5. H. The natural history of untreated acute leukemia. Ann NU Acad Sci 1954;60:322-58.

6. S, Diamond LK, Mercer RD, et al. Temporary remissions in acute leukemia in children produced by folic acid antagonist 4-aminopteroylglutamic acid (aminopterin). N Engl J Med 1948;238:787-93.

7. L, Gelber R, Cohen H, et al. Four-agent induction and intensive asparaginase therapy for treatment of childhood acute lymphoblastic leukemia. N Engl J Med 1986;315:657-63.

8. LL, Nesbit ME, Jr, Sather HN, Meadows AT, Ortega JA, Hammond GD. Factors associated with IQ scores in long-term survivors of childhood acute lymphoblastic leukemia. Am J Pediatr Hematol Oncol 1984;6:115-21.

9. P, Waters B, Said J, Stevens M. Cognitive effects of cranial irradiation in leukaemia: a survey and meta-analysis. J Child Psychol Psychiatry 1988;29:839-52.

10. JM, Kornblith AB, Jones D, et al. A comparative study of the long term psychosocial functioning of childhood acute lymphoblastic leukemia survivors treated by intrathecal methotrexate with or without cranial radiation. Cancer 1998;82:208-18.

11. D, Reaman G, Bleyer W, et al. Successful prevention of central nervous (CNS) leukemia without cranial radiation in children with high risk acute lymphoblastic leukemia (ALL): a preliminary report. Proc Am Soc Clin Oncol 1989;8:828.-

12. W, Shuster J, Falletta J, et al. Clinical features and outcome in childhood T-cell leukemia-lymphoma according to stage of thymocyte differentiation: a Pediatric Onoclogy Group study. Blood 1988;72:1891-97.

13. CH, Behm FG, Singh B, et al. Heterogeneity of presenting features and their relation to treatment outcome in 120 children with T-cell acute lymphoblastic leukemia. Blood 1990;75:174-79.

14. M, Azuma E, Ido M, et al. Ten-year survey of the intellectual deficits in children with acute lymphoblastic leukemia receiving chemoimmunotherapy. Med Pediatr Oncol 1993;21:435-40.

15. DP, Urion DK, Tarbell NJ, Niemeyer C, Gelber R, Sallan SE. Late effects of central nervous system treatment of acute lymphoblastic leukemia in childhood are sex-dependent. Dev Med Child Neurol 1990;32:238-48.

16. AE, Aitken K, Eden OB. Computerized psychometry screening in long-term survivors of childhood acute lymphoblastic leukemia. Pediatr Hematol Oncol 1988;5:197-208.

17. H, Huk WJ, Ueberall MA, et al. CNS late effects after ALL therapy in childhood. Part I: Neuroradiological findings in long-term survivors of childhood ALL—an evaluation of the interferences between morphology and neuropsychological performance—the German Late Effects Working Group. Med Pediatr Oncol 1997;28:387-400.

18. JA, Kaleita TA, Noll RB, et al. CNS prophylaxis of childhood leukemia: what are the long-term neurological, neuropsychological, and behavioral effects? Neuropsychol Rev 1991;2:147-77.

19. JA, Waters BG, Cousens P, Stevens MM. Neuropsychological sequelae of central nervous system prophylaxis in survivors of childhood acute lymphoblastic leukemia. J Consult Clin Psychol 1989;57:251-56.

20. J, Horrocks J, Britton PG, Kernahan J. Attentional ability among survivors of leukaemia. Arch Dis Child 1999;80:318-23.

21. AS, Nesbit ME. Neuropsychologic (cognitive) disabilities in long-term survivors of childhood cancer. Pediatrician 1991;18:11-19.

22. RK, Kovnar E, Langston J, et al. Long-term survivors of leukemia treated in infancy: factors associated with neuropsychologic status. J Clin Oncol 1992;10:1095-102.

23. DP, Tarbell NJ, Fairclough D, et al. Cognitive sequelae of treatment in childhood acute lymphoblastic leukemia: cranial radiation requires an accomplice. J Clin Oncol 1995;13:2490-96.

24. CL, Varni JW, Katz ER. Cognitive functioning in long-term survivors of childhood leukemia: a prospective analysis. J Dev Behav Pediatr 1990;11:301-05.

25. M, Brouwers P, Valsecchi MG, Van Veldhuizen A, Huisman J. Association of 1800 cGy cranial irradiation with intellectual function in children with acute lymphoblastic leukaemia. Lancet 1994;344:224-27.

26. E, Anderson V, Godber T, Ekert H. Risk factors for intellectual and educational sequelae of cranial irradiation in childhood acute lymphoblastic leukaemia. Br J Cancer 1996;73:825-30.

27. V, Godber T, Smibert E, Ekert H. Neurobehavioural sequelae following cranial irradiation and chemotherapy in children: an analysis of risk factors. Pediatr Rehabil 1997;1:63-76.

28. Bleyer A. CNS chemoradiotherapy of childhood leukemia: the plot thickens but the ending bodes well. J Clin Oncol 1995;13:2480-82.

29. TA, Reaman GH, MacLean WE, Sather HN, Whitt JK. Neurodevelopmental outcome of infants with acute lymphoblastic leukemia: a Children’s Cancer Group report. Cancer 1999;85:1859-65.

30. RT, Madan-Swain A, Walco GA, et al. Cognitive and academic late effects among children previously treated for acute lymphocytic leukemia receiving chemotherapy as CNS prophylaxis. J Pediatr Psychol 1998;23:333-40.

31. L. Clinical neurological findings of children with acute lymphoblastic leukaemia at diagnosis and during treatment. Eur J Pediatr 1993;152:115-19.

32. HA, Schoemaker MM, Hofte M, et al. Fine motor and handwriting problems after treatment for childhood acute lymphoblastic leukemia. Med Pediatr Oncol 1996;27:551-55.

33. PG, Ciesielski KT, Hart BL, Benzel EC, Sanders JA. Evidence for cerebellar-frontal subsystem changes in children treated with intrathecal chemotherapy for leukemia. Arch Neurol 1998;55:1561-68.

34. R, Fears TR, Robison LL, et al. Educational attainment in long-term survivors of childhood acute lymphoblastic leukemia. JAMA 1994;272:1427-32.

35. P, Chen CH. Prevalence of obesity in children after therapy for acute lymphoblastic leukemia. Am J Pediatr Hematol Oncol 1986;8:294-99.

36. I, Reilly JJ, Gibson BE, Donaldson MD. Patterns of obesity in boys and girls after treatment for acute lymphoblastic leukaemia. Arch Dis Child 1994;71:147-49.

37. MJ, Ochs JJ, Schriock EA, Carter M. A method of predicting adult height and obesity in long-term survivors of childhood acute lymphoblastic leukemia. J Clin Oncol 1992;10:128-33.

38. M, Didcock E, Davies HA, Ogilvy-Stuart AL, Wales JK, Shalet SM. High incidence of obesity in young adults after treatment of acute lymphoblastic leukemia in childhood. J Pediatr 1995;127:63-67.

39. Dongen-Melman JE, Hokken-Koelega AC, Hahlen K, De Groot A, Tromp CG, Egeler RM. Obesity after successful treatment of acute lymphoblastic leukemia in childhood. Pediatr Res 1995;38:86-90.

40. KK, Lanning M, Tapanainen P, Knip M. Long-term survivors of childhood cancer have an increased risk of manifesting the metabolic syndrome. J Clin Endocrinol Metab 1996;81:3051-55.

41. JT, Bell W, Webb DK, Gregory JW. Daily energy expenditure and physical activity in survivors of childhood malignancy. Pediatr Res 1998;43:607-13.

42. ME, Faragher EB, Jones PH, Woodcock A. Lung function and exercise capacity in survivors of childhood leukaemia. Med Pediatr Oncol 1995;24:222-30.

43. P, Gutjahr P, Stopfkuchen H. Physical performance in long-term survivors of acute leukaemia in childhood. Eur J Pediatr 1998;157:464-67.

44. MJ, Halton JM, Martin RF, Barr RD. Long-term gross motor performance following treatment for acute lymphoblastic leukemia. Med Pediatr Oncol 1998;3:86-90.

45. MJ, Halton JM, Barr RD. Limitation of ankle range of motion in survivors of acute lymphoblastic leukemia: a cross-sectional study. Med Pediatr Oncol 1999;32:279-82.

46. DS, Dietz WH, Srinivasan SR, Berenson GS. The relation of overweight to cardiovascular risk factors among children and adolescents: the Bogalusa Heart Study. Pediatrics 1999;103:1175-82.

47. M, Vanhala P, Kumpusalo E, Halonen P, Takala J. Relation between obesity from childhood to adulthood and the metabolic syndrome: population based study. BMJ 1998;317:319-21.

48. GS, Srinivasan SR, Bao W, et al. Association between multiple cardiovascular risk factors and atherosclerosis in children and young adults. N Engl J Med 1998;338:1650-56.

49. TC, Deedwania PC. The cardiovascular dysmetabolic syndrome. Am J Med 1998;105:77S-82S.

50. T, Bengtsson BA. Premature mortality due to cardiovascular disease in hypopituitism. Lancet 1990;336:285-88.

51. AS, Van’t Hoff W, Jones PJ, Clayton RN. The effect of hypopituitarism on life expectancy. J Clin Endocrinol Metab 1996;81:1169-72.

52. EM, Bulow B, Eskilsson J, Hagmar L. High incidence of cardiovascular disease and increased prevalence of cardiovascular risk factors in women with hypopituitarism not receiving growth hormone treatment: preliminary results. Growth Horm IGF Res 1999;9 (suppl):21-24.

53. MB. Effect of growth hormone on carbohydrate and lipid metabolism. Endocr Rev 1987;8:115-31.

54. FL, O’Neal D, Kamarudin N, Alford FP, Best JD. Growth hormone deficiency and cardiovascular risk. Baillieres Clin Endocrinol Metab 1998;12:199-216.

55. SA, Henderson A, Niththyananthan R, et al. The effects of short and long-term growth hormone replacement therapy in hypopituitary adults on lipid metabolism and carbohydrate tolerance. J Clin Endocrinol Metab 1995;80:356-63.

56. KA, Gray R, Anyaoku V, et al. Effects of four years’ treatment with biosynthetic human growth hormone (GH) on glucose homeostasis, insulin secretion and lipid metabolism in GH-deficient adults. Clin Endocrinol 1998;48:795-802.

57. D, Hew FL, Sikaris K, Ward G, Alford F, Best JD. Low density lipoprotein particle size in hypopituitary adults receiving conventional hormone replacement therapy. J Clin Endocrinol Metab 1996;81:2448-54.

58. Preventive Services Task Force. Guide to clinical preventive services. 2nd ed. Washington, DC: US Department of Health and Human Services; 1996.

59. PJ, Holen A, Glomstein A, et al. Long-term survival and quality of life in patients treated with a national ALL protocol 15-20 years earlier: IDM/HDM and late effects? Pediatr Hematol Oncol 1997;14:513-24.

60. AE. Posttraumatic distress in childhood cancer survivors and their parents. Med Pediatr Oncol 1998;1 (suppl):60-68.

61. LK, Chen E, Weiss R, et al. Comparison of psychologic outcome in adult survivors of childhood acute lymphoblastic leukemia versus sibling controls: a cooperative Children’s Cancer Group and National Institutes of Health study. J Clin Oncol 1997;15:547-56.

62. ML, Guo MD, Weiss R, et al. Smoking in adult survivors of childhood acute lymphoblastic leukemia. J Natl Cancer Inst 1998;90:219-25.

63. PB, Hough SF, Nel ED, van Riet FA, Beneke T, Wessels G. Bone mineral density in long-term survivors of childhood cancer. Int J Cancer Suppl 1998;11:44-7.

64. J, Hsieh K, Kalaitzoglou G, et al. Bone mineral density in young adult survivors of childhood cancer. J Pediatr Hematol Oncol 1998;20:241-45.

65. R, Brosnan P, Delpassand A, Zietz H, Klein MJ, Jaffe N. Osteopenia in young adult survivors of childhood cancer. Med Pediatr Oncol 1999;32:272-78.

66. V, Carlson ME, Roe TF, Ortega JA. Osteoporosis after cranial irradiation for acute lymphoblastic leukemia. J Pediatr 1990;117:238-44.

67. P, Komulainen J, Voutilainen R, et al. Reduced bone mineral density in long-term survivors of childhood acute lymphoblastic leukemia. J Pediatr Hematol Oncol 1998;20:234-40.

68. JT, Evans WD, Webb DK, Bell W, Gregory JW. Relative osteopenia after treatment for acute lymphoblastic leukemia. Pediatr Res 1999;45:544-51.

69. K, Holm K, Michaelsen KF, Hertz H, Muller J, Molgaard C. Bone mass after treatment for acute lymphoblastic leukemia in childhood. J Clin Oncol 1998;16:3752-60.

70. JJ, Kardos G, Roos JC, et al. Bone mineral density and markers of bone turnover in young adult survivors of childhood lymphoblastic leukaemia. Clin Endocrinol 1999;50:237-44.

71. BM, Rahim A, Mackie EM, Eden OB, Shalet SM. Clin Endocrinol 1998;48:777-783.

72. SA, Halton JM, Bradley C, Wu B, Barr RD. Bone and mineral abnormalities in childhood acute lymphoblastic leukemia: influence of disease, drugs and nutrition. Int J Cancer Suppl 1998;11:35-39.

73. B, Owens S, Okuyama T, Riggs S, Ferguson M, Litaker M. Effect of physical training and its cessation on percent fat and bone density of children with obesity. Obes Res 1999;7:208-14.

74. O, Kristinsson JO, Stefansson SO, Valdimarsson S, Sigurdsson G. Lean mass and physical activity as predictors of bone mineral density in 16-20-year old women. J Intern Med 1999;245:489-96.

75. I, van Croonenborg JJ, Kemper HC, Kostense PJ, Twisk JW. The effect of exercise training programs on bone mass: a meta-analysis of published controlled trials in pre- and postmenopausal women. Osteoporos Int 1999;9:1-12.

76. D, Johnell O, Wedel H. Meta-analysis of how well measures of bone mineral density predict occurrence of osteoporotic fractures. BMJ 1996;312:1254-59.

77. D, Sampietro-Colom L, Marshall D, Rico R, Granados A, Asua J. The effectiveness of bone density measurement and associated treatments for prevention of fractures: an international collaborative review. Int J Technol Assess Health Care 1998;14:237-54.

78. LL, Nesbit ME, Jr, Sather HN, Meadows AT, Ortega JA, Hammond GD. Height of children successfully treated for acute lymphoblastic leukemia: a report from the Late Effects Study Committee of Children’s Cancer Study Group. Med Pediatr Oncol 1985;13:14-21.

79. EA, Schell MJ, Carter M, Hustu O, Ochs JJ. Abnormal growth patterns and adult short stature in 115 long-term survivors of childhood leukemia. J Clin Oncol 1991;9:400-05.

80. M, Stanhope R, Chessells JM, Leiper AD. Impaired pubertal growth in acute lymphoblastic leukaemia. Arch Dis Child 1991;66:1403-07.

81. K, Dorffel W, Timme J, et al. Final height and puberty in 40 patients after antileukaemic treatment during childhood. Eur J Pediatr 1997;156:272-76.

82. P, Moell C, Cornu G, Malvaux P, Maes M. Subnormal growth during puberty in children treated for acute lymphoblastic leukemia. Pediatr Hematol Oncol 1992;9:217-22.

83. AC, van Doorn JW, Hahlen K, Stijnen T, de Muinck Keizer-Schrama SM, Drop SL. Long-term effects of treatment for acute lymphoblastic leukemia with and without cranial irradiation on growth and puberty: a comparative study. Pediatr Res 1993;33:577-82.

84. JA, Pollock BH, Jacaruso D, Morad A. Final attained height in patients successfully treated for childhood acute lymphoblastic leukemia. J Pediatr 1993;123:546-52.

85. AE, Adan L, Leverger G, Souberbielle JC, Schaison G, Brauner R. Growth hormone secretion, puberty and adult height after cranial irradiation with 18 Gy for leukaemia. Eur J Pediatr 1998;157:703-07.

86. J, Villaizan CJ, Garcia-Foncillas J, Azcona C, Salvador J, Sierrasesumaga L. Chemotherapy-induced growth hormone deficiency in children with cancer. Med Pediatr Oncol 1995;25:90-5.

87. J, Villaizan CJ, Garcia-Foncillas J, Salvador J, Sierrasesumaga L. Growth and growth hormone secretion in children with cancer treated with chemotherapy. J Pediatr 1997;131:105-12.

88. C, Mertens A, Walter A, et al. Final height after treatment for childhood acute lymphoblastic leukemia: comparison of no cranial irradiation with 1800 and 2400 centigrays of cranial irradiation. J Pediatr 1993;123:59-64.

89. A, Cacciari E, Rosito P, et al. Longitudinal growth and final height in long-term survivors of childhood leukaemia. Eur J Pediatr 1994;153:726-30.

90. TG, Byrne GC, Jones TW. Growth and growth hormone secretion after treatment for acute lymphoblastic leukemia in childhood 18-Gy versus 24-Gy cranial irradiation. J Pediatr Hematol Oncol 1995;17:167-71.

91. NH, Fisker S, Clausen N, Tuovinen V, Sindet-Pedersen S, Christiansen JS. Growth and endocrinological disorders up to 21 years after treatment for acute lymphoblastic leukemia in childhood. Med Pediatr Oncol 1998;30:351-56.

92. O’Halloran DJ, Tsatsoulis A, Whitehouse RW, Holmes SJ, Adams JE, Shalet SM. Increased bone density after recombinant human growth hormone (GH) therapy in adults with isolated GH deficiency. J Clin Endocrinol Metab 1993;76:1344-48.

93. F, Cuneo RC, Hesp R, Sonksen PH. The effects of treatment with recombinant human growth hormone on body composition and metabolism in adults with growth hormone deficiency. N Engl J Med 1989;321:1797-803.

94. P, Broman JE, Hetta J, et al. Quality of life in adults with growth hormone (GH) deficiency: response to treatment with recombinant human GH in a placebo-controlled 21-month trial. J Clin Endocrinol Metab 1995;80:3585-90.

95. SE, Colan SD, Gelber RD, Perez-Atayde AR, Sallan SE, Sanders SP. Late cardiac effects of doxorubicin therapy for acute lymphoblastic leukemia in childhood. N Engl J Med 1991;324:843-45.

96. SE, Lipsitz SR, Mone SM, et al. Female sex and drug dose as risk factors for late cardiotoxic effects of doxorubicin therapy for childhood cancer. N Engl J Med 1995;332:1738-43.

97. MA, Lipshultz SE. Epidemiology of anthracycline cardiotoxicity in children and adults. Semin Oncol 1998;25(suppl):72-85.

98. K, Levitt G, Bull C, Chessells J, Sullivan I. Anthracycline dose in childhood acute lymphoblastic leukemia: issues of early survival versus late cardiotoxicity. J Clin Oncol 1997;15:61-68.

99. K, Holm K, Lipsitz SR, et al. Relationship between cumulative anthracycline dose and late cardiotoxicity in childhood acute lymphoblastic leukemia. J Clin Oncol 1998;16:545-50.

100. LH. Ameliorating anthracycline cardiotoxicity in children with cancer: clinical trials with dexrazoxane. Semin Oncol 1998;25:86-92.

101. LJ, Graham T, Hurwitz R, et al. Guidelines for cardiac monitoring of children during and after anthracycline therapy: report of the Cardiology Committee of the Childrens Cancer Study Group. Pediatrics 1992;89:942-49.

102. for Disease Control and Prevention. Recommendations for prevention and control of hepatitis C virus (HCV) infection and HCV-related chronic disease. MMWR 1998;47:1-39.

103. M, Maggiore G, Silini E, Bono F, Vigano C. Hepatitis C virus infection in children treated for acute lymphoblastic leukemia. Blood 1994;84:2919-22.

104. SP, Ragusa R, Sciacca A, et al. Incidence and morbidity of infection by hepatitis C virus in children with acute lymphoblastic leukaemia. Eur J Pediatr 1994;153:271-75.

105. A, Testa M, Pontisso P, et al. Prevalence and natural history of hepatitis C infection in patients cured of childhood leukemia. Blood 1997;90:4628-33.

106. A, Alberti A. Hepatitis C virus serum markers and liver disease in children with leukemia. Leuk Lymphoma 1995;17:245-49.

107. S, Petris MG, Rossetti F, et al. Chronic hepatitis C virus infection after treatment for pediatric malignancy. Blood 1997;90:1315-20.

108. IM, Sanders J, Ruggiero F, Andrews T, Ungar D, Eyster ME. Chronic hepatitis C virus infections in leukemia survivors: prevalence, viral load, and severity of liver disease. Blood 1999;93:3672-77.

109. Dalton VM, Gelber RD, Li F, Donnelly MJ, Tarbell NJ, Sallan SE. Second malignancies in patients treated for childhood acute lymphoblastic leukemia. J Clin Oncol 1998;16:2848-53.

110. AW, Hancock ML, Pui CH, et al. Secondary brain tumors in children treated for acute lymphoblastic leukemia at St Jude Children’s Research Hospital. J Clin Oncol 1998;16:3761-67.

111. P, Straaten A, Gutjahr P. Secondary thyroid carcinoma after treatment for childhood cancer. Med Pediatr Oncol 1998;31:91-95.

112. Y, Leverger G, Carrere A, et al. Second thyroid neoplasms after prophylactic cranial irradiation for acute lymphoblastic leukemia. Am J Hematol 1998;59:91-94.

113. T, Ikuta H, Hibi S, Todo S. Second cutaneous neoplasms after acute lymphoblastic leukemia in childhood. Int J Hematol 1993;59:67-71.

114. J, Velasco-Benito JA, Pena-Penabad C, Armijo M. Basal cell carcioma in a girl after cobalt irradiation to the cranium for acute lymphoblastic leukemia: case report and literature review. Pediatr Dermatol 1996;13:54-57.

115. J, Philip P, Larsen SO, et al. Therapy-related myelodysplasia and acute myeloid leukemia: cytogenetic characteristics of 115 consecutive cases and risk in seven cohorts of patients treated intensively for malignant diseases in the Copenhagen series. Leukemia 1993;7:1975-86.

116. N, Shuster JJ, Bowman WP, et al. Intensive oral methotrexate protects against lymphoid marrow relapse in childhood B-precursor acute lymphoblastic leukemia. J Clin Oncol 1996;14:2803-11.

117. C, Hartmann JT, Kanz L, Bokemeyer C. Risk of secondary myeloid leukemia and myelodysplastic syndrome following standard-dose chemotherapy or high-dose chemotherapy with stem cell support in patients with potentially curable malignancies. J Cancer Res Clin Oncol 1998;124:207-14.

118. HM, Keating MJ. Therapy-related leukemia and myelodysplastic syndrome. Semin Oncol 1987;14:435-43.

119. MA, Rubinstein L, Anderson JR, et al. Secondary leukemia or myelodysplastic syndrome after treatment with epipodophyllotoxins. J Clin Oncol 1999;17:569-77.

120. MA, Rubinstein L, Cazenave L, et al. Report of the Cancer Therapy Evaluation Program monitoring plan for secondary acute myeloid leukemia following treatment with epipodophyllotoxins. J Natl Cancer Inst 1993;85:554-58.

121. CH, Relling MV, Rivera GK, et al. Epipodophyllotoxin-related acute myeloid leukemia: a study of 35 cases. Leukemia 1995;9:1990-96.

122. M, Akiyama Y, Koishi S, et al. Second malignancy following treatment of acute lymphoblastic leukemia in children. Int J Hematol 1998;67:397-401.

123. R, Clausen N, Siimes MA, et al. Reproduction following treatment for childhood leukemia: a population-based prospective cohort study of fertility and offspring. Med Pediatr Oncol 1991;19:459-66.

124. GA, Jenney ME. The reproductive system after childhood cancer. Br J Obstet Gynaecol 1998;105:946-53.

125. Wallace WH, Shalet SM, Tetlow LJ, Morris-Jones PH. Ovarian function following the treatment of childhood acute lymphoblastic leukaemia. Med Pediatr Oncol 1993;21:333-39.

126. MR, Robison LL, Nesbit ME, et al. Effects of radiation on ovarian function in long-term survivors of childhood acute lymphoblastic leukemia: a report from the Children’s Cancer Study Group. J Clin Oncol 1987;5:1759-65.

127. CA, Robison LL, Nesbit ME, et al. Effects of radiation on testicular function in long-term survivors of childhood acute lymphoblastic leukemia: a report from the Children’s Cancer Group. J Clin Oncol 1990;8:1981-87.

128. T, Kishi K, Imashuku S, et al. Testicular histology and function following long-term chemotherapy of acute leukemia in children and outcome of the patients who received testicular biopsy. Am J Pediatr Hematol Oncol 1986;8:288-93.

129. WH, Shalet SM, Lendon M, Morris-Jones PH. Male fertility in long-term survivors of childhood acute lymphoblastic leukaemia. Int J Androl 1991;14:312-19.

130. LB, Nicholson HS, Brasseux C, et al. Birth defects in offspring of adult survivors of childhood acute lymphoblastic leukemia: a Children’s Cancer Group/National Institutes of Health Report. Cancer 1996;78:169-76.

131. DL, Smith LE, Turner SJ, Gelber RD, Sallan SE. Ophthalmic evaluation of survivors of acute lymphoblastic leukemia. Ophthalmology 1988;95:151-55.

132. RG, Jr, Chauvenet AR, Smith TJ, Schwartz AC. Ophthalmic evaluation of long-term survivors of childhood acute lymphoblastic leukemia. Cancer 1986;58:963-68.

133. SC, Hopkins KP, Jones D, Crom D, Greenwald CA, Santana VM. Dental abnormalities in children treated for acute lymphoblastic leukemia. Leukemia 1997;11:792-96.

134. AL, Tarbell N, Valachovic RW, Gelber R, Schwenn M, Sallan S. Dentofacial development in long-term survivors of acute lymphoblastic leukemia: a comparison of three treatment modalities. Cancer 1990;66:2645-52.

135. AL, Waber DP, Sallan S, Tarbell NJ. The oral health of long-term survivors of acute lymphoblastic leukaemia: a comparison of three treatment modalities. Eur J Cancer B Oral Oncol 1995;31:250-52.

136. A, Chiarelli F, Di Marzio A, Impicciatore P, Marsico S, Angrilli F. Thyroid function in children treated for acute lymphoblastic leukemia. J Endocrinol Invest 1997;20:215-19.

137. LL, Nesbit ME, Sather HN, Meadows AT, Ortega JA, Hammond GD. Thyroid abnormalities in long-term survivors of childhood acute lymphoblastic leukemia. Pediatr Res 1985;19:266A.-

138. T, McCalla J, Berg S, et al. Subtle primary hypothyroidism in patients treated for acute lymphoblastic leukemia. Acta Endocrinol 1991;124:375-80.

139. CR, Miller JD, Guyda HJ, Esseltine DW, Chevalier LM, Freeman CR. Growth and development of long-term survivors of childhood acute lymphoblastic leukemia treated with and without prophylactic radiation of the central nervous system. Clin Invest Med 1985;8:307-14.

140. ML, Brecher ML, Glicksman AS, et al. Hypothalamic-pituitary function of children with acute lymphocytic leukemia after three forms of central nervous system prophylaxis: a retrospective study. Cancer 1986;57:1287-91.

141. EP, Leiper AD, Chessells JM. Thyroid function in children after treatment for acute lymphoblastic leukemia. Arch Dis Child 1988;64:631.-

142. MD, Shalet SM, Beardwell CG. Radiation and hypothalamic-pituitary function. Baillieres Clin Endocrinol Metab 1990;4:147-75.

143. F, Ohta K, Akanuma A, Sakata K. Dosimetry of radiation scattered to thyroid gland from prophylactic cranial irradiation for childhood leukemia. Pediatr Hematol Oncol 1994;11:47-53.

144. NJ, Tweeddale PM, Eden OB. Pulmonary function in childhood leukaemia survivors. Med Pediatr Oncol 1989;17:149-54.

145. K, Holm K, Olsen JH, Hertz H, Hesse B. Pulmonary function after treatment for acute lymphoblastic leukaemia in childhood. Br J Cancer 1998;78:21-27.

146. BL, Tanyer G, Poplack DG, et al. Transient acute hepatotoxicity of high-dose methotrexate therapy during childhood. NCI Monogr 1987;5:207-12.

147. F, Kinumaki H, Yokota S, Hayashi Y, Kobayashi M, Kamoshita S. Liver function studies in children with acute lymphocytic leukemia after cessation of therapy. Med Pediatr Oncol 1994;23:111-15.

148. AC, Buchanan GR, Zweiner RJ, Bowman WP, Winick NJ. Serum aminotransferase elevation during and following treatment of childhood acute lymphoblastic leukemia. J Clin Oncol 1997;15:1560-66.

149. PJ, Balistreri WF, Bove KE, Ballard ET, Passo MH. The relationship of hepatotoxic risk factors and liver histology in methotrexate therapy for juvenile rheumatoid arthritis. J Pediatr 1999;134:47-52.

150. HJ, Simone J, Aur RJA. Cyclophosphamide-induced hemorrhagic cystitis in children with leukemia. Cancer 1975;36:1572-76.

151. TJ, Benson RC. Cyclophosphamide-induced hemorrhagic cystitis: a review of 100 patients. Cancer 1988;61:451-57.

152. JM, Reed EC, Pippert GC, et al. Mesna compared with continuous bladder irrigation as uroprotection during high-dose chemotherapy and transplantation: a randomized trial. J Clin Oncol 1993;11:1306-10.

153. LB, Curtis RE, Glimelius B, et al. Bladder and kidney cancer following cyclophosphamide therapy for non-Hodgkin’s lymphoma. J Natl Cancer Inst 1995;87:524-30.

154. der Does-van den Berg A, de Vaan GAM, van Weerden JF, Hahlen K, van Weel-Sipman M, Veerman AJP. Late effects among long-term survivors of childhood acute leukemia in the Netherlands: a Dutch Childhood Leukemia Study Group report. Pediatr Res 1995;38:802-07.

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Childhood Cancer Survivors and Primary Care Physicians

Mary Johnson, a 28-year-old patient whom you have followed-up for several years, comes to your office because she feels a lump in her breast. From her previous history you know that she had Hodgkin’s disease when she was 12 years old and was treated with chest radiation. She was “cured” and has not seen anyone from the pediatric cancer center in more than 10 years.

Sarah Jones is a 24-year-old who comes to you for obstetric care. As you discuss her medical history she tells you that she had cancer when she was little but cannot remember what type or anything about her treatement.

John Smith is a 27-year-old who comes to your office as a new patient complaining of a cough, sore throat, and rhinorrhea. On the office medical questionnaire under past history he lists leukemia at the age of 5 years. In addition to his upper respiratory infection you note that he is overweight with a body mass index of 31 kg per m2.

These are typical scenarios that primary care physicians will encounter with increasing regularity over the next few years. The number of survivors of childhood cancer is increasing, and this at-risk population will seek health care from primary care physicians.

The role of the primary care physician

There is a misconception that most childhood cancer survivors will be followed indefinitely by the pediatric cancer center where they received their treatement. This is generally true in the first 5 to 10 years after completing therapy. In 1997, 53% of childhood cancer centers had a program for following long-term survivors.1 Although 44% had a mechanism for following adult survivors, only 15% of the centers had established a formal database for adults. The number of follow-up programs has gradually increased in the past few years, but because of the age limitations in most pediatric institutions, there will likely be few programs developed for survivors who have entered their young adult years. Like their peers, many survivors will move several times and often reside long distances form the center where they received their treatment. Thus, as they develop medical problems or worrisome symptoms they will usually seek care from primary care physicians on their health plan or located near their home.

Optimal health care of childhood cancer survivors requires teamwork. Integral to our training and practice as primary care physicians are methods for assessing risk for each of our patients, for developing preventive strategies, including surveillance for early disease and cancer, and for educating our patients about ways to lower identified risks. These concepts are essential to the health care of child-hood cancer survivors. However, there are few peer-reviewed articles in primary care journals or chapters in textbooks that discuss the long-term health problems of this population. To provide quality health care to survivors, it is essential that primary care physicians become educated about the health care problems related to previous cancer treatment and communicate with our colleagues who specialize in the care of children with cancer.

A growing population

As a result of advances in cancer treatment during the past 3 decades, more than 70% of the children with cancer will survive into adulthood. Some of these cancers such as Hodgkin’s disease and acute lymphoblastic leukemia have cure rates exceeding 80%.2 Currently, 1 in every 900 young adults between the ages of 20 and 45 years are survivors of childhood cancer.3 Within the next 10 years, this number may increase to 1 in every 250 young adults.4 This roughly translates into 2 to 3 survivors seen each year in the average family physician’s practice, with an expected increase to approximately 6 to 9 per year. This is often enough that we will not think of a childhood cancer survivor as we do the patient with a rare syndrome seen in residency, but uncommon enough to make us pause a moment and question his or her special needs or risks.

Increased risk

This growing population is at increased risk for a number of health-related problems. Sequelae or late effects of chemotherapy and radiation are common and may be asymptomatic for extended periods. As many as two thirds of these survivors may develop a late effect, with a significant proportion experiencing a moderate-to-severe late complication.5-8

Though some late effects are observed within a few years, many are detected a decade or more after treatment. Late effects may include fertility problems, alterations in growth and development, organ system damage, hepatitis, second malignant neo-plasms, quality-of-life issues, and employability and insurability difficulties. Overall, the cumulative incidence of a second malignant neoplasm within 20 years of diagnosis of childhood cancer is 3%, with some cancer survivors facing a much higher risk. By the age of 40 years, the cumulative actuarial risk for breast cancer is 35% for women who are survivors of childhood Hodgkin’s disease who were treated with mantle or chest radiation.9

 

 

Another common effect is late onset anthracy-cline-induced cardiomyopathy. More than half of the survivors of childhood cancer who were treated with moderate to high doses of an anthracycline will develop changes in left ventricular function which, over time, can lead to a stiff and poorly compliant left ventricle.10 Most patients are asymptomatic, but a significant proportion may develop overt congestive heart failure with aging or following physical stressors, such as pregnancy. A low-risk pregnancy may actually be an unrecognised high-risk condition for some childhood cancer survivors.

The impact of cancer therapy on the development of common adult health problems is just beginning to be understood. What will be the effect of mantle or chest radiation on the progression of an atherosclerotic plaque in a coronary artery? What type of cardiovascular risk will an obese, physically inactive leukemia survivor face? Early evidence11 suggests that survivors of childhood acute lymphoblastic leukemia who were treated with cranial irradiation are more likely to be obese and may be at increased risk for premature cardiovascular disease.

Primary care phsicians as researchers

There are studies in progress that are investigating the risks and health needs of childhood cancer survivors. A notable example is the Childhood Cancer Survivor Study, a 25-institution National Cancer Institute-funded cohort of more than 14,000 long-term survivors.

Within this growing field of research there is a need for investigators with a primary care back-ground. Primary care physicians are trained and experienced in risk assessment, risk modification, cancer surveillance, and patient education. These same skills are vital to a research team. There are ample opportunities for primary care researchers to network with investigators from a wide array of back-grounds to study the health needs of this population.

Family physicians are likely to see an increasing number of adult survivors of childhood cancer, a population with special health problems. It is essential that our discipline become better acquainted with these health needs and collaborate in studies to determine cost-effective methods for screening for late effects and second cancers.

Acknowledgments

Dr Oeffinger received partial support for this work through the American Academy of Family Physicians Foundation Advanced Research Training Grant and the Robert Wood Johnson Foundation Generalist Physician Faculty Scholars Program. He would like to thak Dr Shelley Roaten, Jr, and Dr George Buchanan for their critical review.

References

 

1. Oeffinger KC, Eshelman DA, Tomlinson GE, Buchanan GR. Programs for adult survivors of childhood cancer. J Clin Oncol 1998;16:2864-67.

2. Ries, LAG, Smith MA, Gurney JG, et al, eds. Cancer incidence and survival among children and adolescents: United States SEER program 1975-1995. Pub. no. 99-4649. Bethesda, Md: National Cancer Institute; 1999.

3. Meadows AT, Krejmas NL, Belasco JB. The medical cost of cure: sequelae in survivors of childhood cancer. In: van Eys J, Sullivan MP, eds. Status of the curability of childhood cancers. New York, NY: Raven Press, 1980;263-76.

4. Bleyer WA. The impact of childhood cancer on the United States and the world. CA Cancer J Clin 1990;40:355-67.

5. Garre ML, Gandus S, Cesana B, et al. Health status of long-term survivors after cancer in childhood: Results of an uniinstitutional study in Italy. Am J Pediatr Hematol Oncol 1994;16:143-52.

6. von der Weid N, Beck D, Caflisch U, Feldges A, Wyss M, Wagner HP. Standardized assessment of late effects in long-term survivors of childhood cancer in Switzerland: results of a Swiss Pediatric Oncology Group (SPOG) pilot study. Int J Pediatr Hematol Oncol 1996;3:483-90.

7. Stevens MCG, Mahler H, Parkes S. The health status of adult survivors of cancer in childhood. Eur J Cancer 1998;34:694-98.

8. Oeffinger KC, Eshelman DA, Tomlinson GE, Buchanan GR, Foster BE. Grading of late effects in young adult survivors of childhood cancer followed in an ambulatory adult setting. Cancer 2000;88:1687-95.

9. Bhatia S, Robison LL, Oberlin O, et al. Breast cancer and other second neoplasms after childhood Hodgkin’s disease N Engl J Med 1996;334:745-51.

10. Grenier MA, Lipshultz SE. Epidemiology of anthracycline cardiotoxicity in children and adults. Semin Oncol 1998;25:72-85.

11. Talvensaari KK, Lanning M, Tapanainen P, Knip M. Long-term survivors of childhood cancer have an increased risk of manifesting the metabolic syndrome. J Clin Endocrinol Metab 1996;81:3051-55.

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KEVIN C. OEFFINGER, MD
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All correspondence should be addressed to Kevin C. Oeffinger, MD, the University of Texas Southwestern Medical Center at Dallas, Department of Family Practice and Community Medicine, 5323 Harry Hines Blvd, Dallas, TX 75390-9067. Email: Kevin.oeffinger@email.swmed.edu.

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KEVIN C. OEFFINGER, MD
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All correspondence should be addressed to Kevin C. Oeffinger, MD, the University of Texas Southwestern Medical Center at Dallas, Department of Family Practice and Community Medicine, 5323 Harry Hines Blvd, Dallas, TX 75390-9067. Email: Kevin.oeffinger@email.swmed.edu.

Author and Disclosure Information

 

KEVIN C. OEFFINGER, MD
Dallas, Texas

All correspondence should be addressed to Kevin C. Oeffinger, MD, the University of Texas Southwestern Medical Center at Dallas, Department of Family Practice and Community Medicine, 5323 Harry Hines Blvd, Dallas, TX 75390-9067. Email: Kevin.oeffinger@email.swmed.edu.

Mary Johnson, a 28-year-old patient whom you have followed-up for several years, comes to your office because she feels a lump in her breast. From her previous history you know that she had Hodgkin’s disease when she was 12 years old and was treated with chest radiation. She was “cured” and has not seen anyone from the pediatric cancer center in more than 10 years.

Sarah Jones is a 24-year-old who comes to you for obstetric care. As you discuss her medical history she tells you that she had cancer when she was little but cannot remember what type or anything about her treatement.

John Smith is a 27-year-old who comes to your office as a new patient complaining of a cough, sore throat, and rhinorrhea. On the office medical questionnaire under past history he lists leukemia at the age of 5 years. In addition to his upper respiratory infection you note that he is overweight with a body mass index of 31 kg per m2.

These are typical scenarios that primary care physicians will encounter with increasing regularity over the next few years. The number of survivors of childhood cancer is increasing, and this at-risk population will seek health care from primary care physicians.

The role of the primary care physician

There is a misconception that most childhood cancer survivors will be followed indefinitely by the pediatric cancer center where they received their treatement. This is generally true in the first 5 to 10 years after completing therapy. In 1997, 53% of childhood cancer centers had a program for following long-term survivors.1 Although 44% had a mechanism for following adult survivors, only 15% of the centers had established a formal database for adults. The number of follow-up programs has gradually increased in the past few years, but because of the age limitations in most pediatric institutions, there will likely be few programs developed for survivors who have entered their young adult years. Like their peers, many survivors will move several times and often reside long distances form the center where they received their treatment. Thus, as they develop medical problems or worrisome symptoms they will usually seek care from primary care physicians on their health plan or located near their home.

Optimal health care of childhood cancer survivors requires teamwork. Integral to our training and practice as primary care physicians are methods for assessing risk for each of our patients, for developing preventive strategies, including surveillance for early disease and cancer, and for educating our patients about ways to lower identified risks. These concepts are essential to the health care of child-hood cancer survivors. However, there are few peer-reviewed articles in primary care journals or chapters in textbooks that discuss the long-term health problems of this population. To provide quality health care to survivors, it is essential that primary care physicians become educated about the health care problems related to previous cancer treatment and communicate with our colleagues who specialize in the care of children with cancer.

A growing population

As a result of advances in cancer treatment during the past 3 decades, more than 70% of the children with cancer will survive into adulthood. Some of these cancers such as Hodgkin’s disease and acute lymphoblastic leukemia have cure rates exceeding 80%.2 Currently, 1 in every 900 young adults between the ages of 20 and 45 years are survivors of childhood cancer.3 Within the next 10 years, this number may increase to 1 in every 250 young adults.4 This roughly translates into 2 to 3 survivors seen each year in the average family physician’s practice, with an expected increase to approximately 6 to 9 per year. This is often enough that we will not think of a childhood cancer survivor as we do the patient with a rare syndrome seen in residency, but uncommon enough to make us pause a moment and question his or her special needs or risks.

Increased risk

This growing population is at increased risk for a number of health-related problems. Sequelae or late effects of chemotherapy and radiation are common and may be asymptomatic for extended periods. As many as two thirds of these survivors may develop a late effect, with a significant proportion experiencing a moderate-to-severe late complication.5-8

Though some late effects are observed within a few years, many are detected a decade or more after treatment. Late effects may include fertility problems, alterations in growth and development, organ system damage, hepatitis, second malignant neo-plasms, quality-of-life issues, and employability and insurability difficulties. Overall, the cumulative incidence of a second malignant neoplasm within 20 years of diagnosis of childhood cancer is 3%, with some cancer survivors facing a much higher risk. By the age of 40 years, the cumulative actuarial risk for breast cancer is 35% for women who are survivors of childhood Hodgkin’s disease who were treated with mantle or chest radiation.9

 

 

Another common effect is late onset anthracy-cline-induced cardiomyopathy. More than half of the survivors of childhood cancer who were treated with moderate to high doses of an anthracycline will develop changes in left ventricular function which, over time, can lead to a stiff and poorly compliant left ventricle.10 Most patients are asymptomatic, but a significant proportion may develop overt congestive heart failure with aging or following physical stressors, such as pregnancy. A low-risk pregnancy may actually be an unrecognised high-risk condition for some childhood cancer survivors.

The impact of cancer therapy on the development of common adult health problems is just beginning to be understood. What will be the effect of mantle or chest radiation on the progression of an atherosclerotic plaque in a coronary artery? What type of cardiovascular risk will an obese, physically inactive leukemia survivor face? Early evidence11 suggests that survivors of childhood acute lymphoblastic leukemia who were treated with cranial irradiation are more likely to be obese and may be at increased risk for premature cardiovascular disease.

Primary care phsicians as researchers

There are studies in progress that are investigating the risks and health needs of childhood cancer survivors. A notable example is the Childhood Cancer Survivor Study, a 25-institution National Cancer Institute-funded cohort of more than 14,000 long-term survivors.

Within this growing field of research there is a need for investigators with a primary care back-ground. Primary care physicians are trained and experienced in risk assessment, risk modification, cancer surveillance, and patient education. These same skills are vital to a research team. There are ample opportunities for primary care researchers to network with investigators from a wide array of back-grounds to study the health needs of this population.

Family physicians are likely to see an increasing number of adult survivors of childhood cancer, a population with special health problems. It is essential that our discipline become better acquainted with these health needs and collaborate in studies to determine cost-effective methods for screening for late effects and second cancers.

Acknowledgments

Dr Oeffinger received partial support for this work through the American Academy of Family Physicians Foundation Advanced Research Training Grant and the Robert Wood Johnson Foundation Generalist Physician Faculty Scholars Program. He would like to thak Dr Shelley Roaten, Jr, and Dr George Buchanan for their critical review.

Mary Johnson, a 28-year-old patient whom you have followed-up for several years, comes to your office because she feels a lump in her breast. From her previous history you know that she had Hodgkin’s disease when she was 12 years old and was treated with chest radiation. She was “cured” and has not seen anyone from the pediatric cancer center in more than 10 years.

Sarah Jones is a 24-year-old who comes to you for obstetric care. As you discuss her medical history she tells you that she had cancer when she was little but cannot remember what type or anything about her treatement.

John Smith is a 27-year-old who comes to your office as a new patient complaining of a cough, sore throat, and rhinorrhea. On the office medical questionnaire under past history he lists leukemia at the age of 5 years. In addition to his upper respiratory infection you note that he is overweight with a body mass index of 31 kg per m2.

These are typical scenarios that primary care physicians will encounter with increasing regularity over the next few years. The number of survivors of childhood cancer is increasing, and this at-risk population will seek health care from primary care physicians.

The role of the primary care physician

There is a misconception that most childhood cancer survivors will be followed indefinitely by the pediatric cancer center where they received their treatement. This is generally true in the first 5 to 10 years after completing therapy. In 1997, 53% of childhood cancer centers had a program for following long-term survivors.1 Although 44% had a mechanism for following adult survivors, only 15% of the centers had established a formal database for adults. The number of follow-up programs has gradually increased in the past few years, but because of the age limitations in most pediatric institutions, there will likely be few programs developed for survivors who have entered their young adult years. Like their peers, many survivors will move several times and often reside long distances form the center where they received their treatment. Thus, as they develop medical problems or worrisome symptoms they will usually seek care from primary care physicians on their health plan or located near their home.

Optimal health care of childhood cancer survivors requires teamwork. Integral to our training and practice as primary care physicians are methods for assessing risk for each of our patients, for developing preventive strategies, including surveillance for early disease and cancer, and for educating our patients about ways to lower identified risks. These concepts are essential to the health care of child-hood cancer survivors. However, there are few peer-reviewed articles in primary care journals or chapters in textbooks that discuss the long-term health problems of this population. To provide quality health care to survivors, it is essential that primary care physicians become educated about the health care problems related to previous cancer treatment and communicate with our colleagues who specialize in the care of children with cancer.

A growing population

As a result of advances in cancer treatment during the past 3 decades, more than 70% of the children with cancer will survive into adulthood. Some of these cancers such as Hodgkin’s disease and acute lymphoblastic leukemia have cure rates exceeding 80%.2 Currently, 1 in every 900 young adults between the ages of 20 and 45 years are survivors of childhood cancer.3 Within the next 10 years, this number may increase to 1 in every 250 young adults.4 This roughly translates into 2 to 3 survivors seen each year in the average family physician’s practice, with an expected increase to approximately 6 to 9 per year. This is often enough that we will not think of a childhood cancer survivor as we do the patient with a rare syndrome seen in residency, but uncommon enough to make us pause a moment and question his or her special needs or risks.

Increased risk

This growing population is at increased risk for a number of health-related problems. Sequelae or late effects of chemotherapy and radiation are common and may be asymptomatic for extended periods. As many as two thirds of these survivors may develop a late effect, with a significant proportion experiencing a moderate-to-severe late complication.5-8

Though some late effects are observed within a few years, many are detected a decade or more after treatment. Late effects may include fertility problems, alterations in growth and development, organ system damage, hepatitis, second malignant neo-plasms, quality-of-life issues, and employability and insurability difficulties. Overall, the cumulative incidence of a second malignant neoplasm within 20 years of diagnosis of childhood cancer is 3%, with some cancer survivors facing a much higher risk. By the age of 40 years, the cumulative actuarial risk for breast cancer is 35% for women who are survivors of childhood Hodgkin’s disease who were treated with mantle or chest radiation.9

 

 

Another common effect is late onset anthracy-cline-induced cardiomyopathy. More than half of the survivors of childhood cancer who were treated with moderate to high doses of an anthracycline will develop changes in left ventricular function which, over time, can lead to a stiff and poorly compliant left ventricle.10 Most patients are asymptomatic, but a significant proportion may develop overt congestive heart failure with aging or following physical stressors, such as pregnancy. A low-risk pregnancy may actually be an unrecognised high-risk condition for some childhood cancer survivors.

The impact of cancer therapy on the development of common adult health problems is just beginning to be understood. What will be the effect of mantle or chest radiation on the progression of an atherosclerotic plaque in a coronary artery? What type of cardiovascular risk will an obese, physically inactive leukemia survivor face? Early evidence11 suggests that survivors of childhood acute lymphoblastic leukemia who were treated with cranial irradiation are more likely to be obese and may be at increased risk for premature cardiovascular disease.

Primary care phsicians as researchers

There are studies in progress that are investigating the risks and health needs of childhood cancer survivors. A notable example is the Childhood Cancer Survivor Study, a 25-institution National Cancer Institute-funded cohort of more than 14,000 long-term survivors.

Within this growing field of research there is a need for investigators with a primary care back-ground. Primary care physicians are trained and experienced in risk assessment, risk modification, cancer surveillance, and patient education. These same skills are vital to a research team. There are ample opportunities for primary care researchers to network with investigators from a wide array of back-grounds to study the health needs of this population.

Family physicians are likely to see an increasing number of adult survivors of childhood cancer, a population with special health problems. It is essential that our discipline become better acquainted with these health needs and collaborate in studies to determine cost-effective methods for screening for late effects and second cancers.

Acknowledgments

Dr Oeffinger received partial support for this work through the American Academy of Family Physicians Foundation Advanced Research Training Grant and the Robert Wood Johnson Foundation Generalist Physician Faculty Scholars Program. He would like to thak Dr Shelley Roaten, Jr, and Dr George Buchanan for their critical review.

References

 

1. Oeffinger KC, Eshelman DA, Tomlinson GE, Buchanan GR. Programs for adult survivors of childhood cancer. J Clin Oncol 1998;16:2864-67.

2. Ries, LAG, Smith MA, Gurney JG, et al, eds. Cancer incidence and survival among children and adolescents: United States SEER program 1975-1995. Pub. no. 99-4649. Bethesda, Md: National Cancer Institute; 1999.

3. Meadows AT, Krejmas NL, Belasco JB. The medical cost of cure: sequelae in survivors of childhood cancer. In: van Eys J, Sullivan MP, eds. Status of the curability of childhood cancers. New York, NY: Raven Press, 1980;263-76.

4. Bleyer WA. The impact of childhood cancer on the United States and the world. CA Cancer J Clin 1990;40:355-67.

5. Garre ML, Gandus S, Cesana B, et al. Health status of long-term survivors after cancer in childhood: Results of an uniinstitutional study in Italy. Am J Pediatr Hematol Oncol 1994;16:143-52.

6. von der Weid N, Beck D, Caflisch U, Feldges A, Wyss M, Wagner HP. Standardized assessment of late effects in long-term survivors of childhood cancer in Switzerland: results of a Swiss Pediatric Oncology Group (SPOG) pilot study. Int J Pediatr Hematol Oncol 1996;3:483-90.

7. Stevens MCG, Mahler H, Parkes S. The health status of adult survivors of cancer in childhood. Eur J Cancer 1998;34:694-98.

8. Oeffinger KC, Eshelman DA, Tomlinson GE, Buchanan GR, Foster BE. Grading of late effects in young adult survivors of childhood cancer followed in an ambulatory adult setting. Cancer 2000;88:1687-95.

9. Bhatia S, Robison LL, Oberlin O, et al. Breast cancer and other second neoplasms after childhood Hodgkin’s disease N Engl J Med 1996;334:745-51.

10. Grenier MA, Lipshultz SE. Epidemiology of anthracycline cardiotoxicity in children and adults. Semin Oncol 1998;25:72-85.

11. Talvensaari KK, Lanning M, Tapanainen P, Knip M. Long-term survivors of childhood cancer have an increased risk of manifesting the metabolic syndrome. J Clin Endocrinol Metab 1996;81:3051-55.

References

 

1. Oeffinger KC, Eshelman DA, Tomlinson GE, Buchanan GR. Programs for adult survivors of childhood cancer. J Clin Oncol 1998;16:2864-67.

2. Ries, LAG, Smith MA, Gurney JG, et al, eds. Cancer incidence and survival among children and adolescents: United States SEER program 1975-1995. Pub. no. 99-4649. Bethesda, Md: National Cancer Institute; 1999.

3. Meadows AT, Krejmas NL, Belasco JB. The medical cost of cure: sequelae in survivors of childhood cancer. In: van Eys J, Sullivan MP, eds. Status of the curability of childhood cancers. New York, NY: Raven Press, 1980;263-76.

4. Bleyer WA. The impact of childhood cancer on the United States and the world. CA Cancer J Clin 1990;40:355-67.

5. Garre ML, Gandus S, Cesana B, et al. Health status of long-term survivors after cancer in childhood: Results of an uniinstitutional study in Italy. Am J Pediatr Hematol Oncol 1994;16:143-52.

6. von der Weid N, Beck D, Caflisch U, Feldges A, Wyss M, Wagner HP. Standardized assessment of late effects in long-term survivors of childhood cancer in Switzerland: results of a Swiss Pediatric Oncology Group (SPOG) pilot study. Int J Pediatr Hematol Oncol 1996;3:483-90.

7. Stevens MCG, Mahler H, Parkes S. The health status of adult survivors of cancer in childhood. Eur J Cancer 1998;34:694-98.

8. Oeffinger KC, Eshelman DA, Tomlinson GE, Buchanan GR, Foster BE. Grading of late effects in young adult survivors of childhood cancer followed in an ambulatory adult setting. Cancer 2000;88:1687-95.

9. Bhatia S, Robison LL, Oberlin O, et al. Breast cancer and other second neoplasms after childhood Hodgkin’s disease N Engl J Med 1996;334:745-51.

10. Grenier MA, Lipshultz SE. Epidemiology of anthracycline cardiotoxicity in children and adults. Semin Oncol 1998;25:72-85.

11. Talvensaari KK, Lanning M, Tapanainen P, Knip M. Long-term survivors of childhood cancer have an increased risk of manifesting the metabolic syndrome. J Clin Endocrinol Metab 1996;81:3051-55.

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