Risk prediction models for esophageal cancer: A systematic review and critical appraisal.

ABSTRACT:

Background and aims

Esophageal cancer risk prediction models allow for risk-stratified endoscopic screening. We aimed to assess the quality of these models developed in the general population.

Methods

A systematic search of the PubMed and Embase databases from January 2000 through May 2021 was performed. Studies that developed or validated a model of esophageal cancer in the general population were included. Screening, data extraction, and risk of bias (ROB) assessment by the Prediction model Risk Of Bias Assessment Tool (PROBAST) were performed independently by two reviewers.

Results

Of the 13 models included in the qualitative analysis, 8 were developed for esophageal squamous cell carcinoma (ESCC) and the other 5 were developed for esophageal adenocarcinoma (EAC).

SUBMITTER: Li H 

PROVIDER: S-EPMC8525074 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature