From the Journals

AI tool predicts certain GI cancers years in advance


 

FROM GASTROENTEROLOGY

TOPLINE:

The Kettles Esophageal and Cardia Adenocarcinoma prediction (K-ECAN) tool predicts esophageal adenocarcinoma (EAC) and gastric cardia adenocarcinoma (GCA) using data from the electronic health record (EHR) and is more accurate than other tools, a large study suggests.

METHODOLOGY:

  • Researchers performed a case-control study using data from the Veterans Affairs Central Cancer Registry.
  • They identified 8,430 patients with EAC and 2,965 patients GCA; these patients were compared with more than 10 million control patients.
  • K-ECAN uses basic information in the EHR to determine an individual’s future risk of developing EAC or GCA.

TAKEAWAY:

  • With an area under the receiver operating characteristic of 0.77, K-ECAN demonstrated better discrimination than previously validated models and published guidelines.
  • Using only data from 3 to 5 years prior to diagnosis only slightly diminished its accuracy (AUROC, 0.75).
  • K-ECAN remained the most accurate tool when undersampling men to simulate a non-VHA population (AUROC, 0.85).
  • Although gastroesophageal reflux disease (GERD) was strongly associated with EAC, it only contributed a small proportion of gain in information for prediction.

IN PRACTICE:

Because K-ECAN does not rely heavily on GERD symptoms to assess risk, it has the “potential to guide providers to increase appropriate uptake of screening. De-emphasizing GERD in decisions to offer screening could paradoxically increase appropriate uptake of screening for EAC and GCA,” the authors wrote.

SOURCE:

The study, with first author Joel H. Rubenstein, MD, with the LTC Charles S. Kettles VA Medical Center, Ann Arbor, Mich., was published online in Gastroenterology.

LIMITATIONS:

K-ECAN was developed and validated among U.S. veterans and needs to be validated in other populations.

DISCLOSURES:

Funding for the study was provided by the Department of Defense. Dr. Rubenstein has received research support from Lucid Diagnostics.

A version of this article first appeared on Medscape.com.

Recommended Reading

Does CRC risk in IBD extend to close family members?
AVAHO
Review explores the boundaries of endoscopic resection for esophageal adenocarcinoma
AVAHO
Gene variants plus H. pylori increase risk of gastric cancer
AVAHO
Refined incidence rate of HCC with alcohol-associated cirrhosis encourages surveillance
AVAHO
African ancestry genetically linked to worse CRC outcomes
AVAHO
CRC screening rates are higher in Medicaid expansion states
AVAHO
New AI tool may help predict best treatments for colorectal cancer
AVAHO
Unprecedented drop seen in early colorectal cancer cases due to aspirin use
AVAHO
Should race and ethnicity be used in CRC recurrence risk algorithms?
AVAHO
‘Game changer’ data for vitamin D in digestive tract cancers
AVAHO