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ABSTRACT: Background and aims
Risk prediction models can identify individuals at high risk of esophageal adenocarcinoma. This systematic review aimed to critically appraise the available models for projecting absolute risk of esophageal adenocarcinoma in the general population.Methods
We searched Medline, Embase, and Cochrane Library databases for studies of risk prediction models for esophageal adenocarcinoma. Data were extracted from eligible studies according to the checklist for critical appraisal and data extraction for systematic reviews of prediction modelling studies. Risk of bias and applicability were assessed using the prediction model risk of bias assessment tool.Results
We identified 7 studies. Age, sex, gastroesophageal reflux disease, body mass index, and tobac
SUBMITTER: Zhao L
PROVIDER: S-EPMC12409981 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature