Real-World Practice of Gastric Cancer Prevention and Screening Calls for Practical Prediction Models.

ABSTRACT:

Introduction

Some gastric cancer prediction models have been published. Still, the value of these models for application in real-world practice remains unclear. We aim to summarize and appraise modeling studies for gastric cancer risk prediction and identify potential barriers to real-world use.

Methods

This systematic review included studies that developed or validated gastric cancer prediction models in the general population.

Results

A total of 4,223 studies were screened. We included 18 development studies for diagnostic models, 10 for prognostic models, and 1 external validation study. Diagnostic models commonly included biomarkers, such as Helicobacter pylori infection indicator, pepsinogen, hormone, and microRNA. Age, sex, smoking, body mass index, and family h

SUBMITTER: He S 

PROVIDER: S-EPMC9944379 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature