Development and Validation of Predictive Models for Gastric Neoplasm Risk Stratification in Screening Esophagogastroduodenoscopy.

ABSTRACT:

Background/aims

Stratifying patients for gastric neoplasm risk before screening esophagogastroduodenoscopy (EGD) is challenging. The aim of this study was to develop a prediction model for assessing gastric neoplasm risk in a screening setting.

Methods

This retrospective cross-sectional study included 21,586 EGD patients from Seoul St. Mary's Hospital, Korea (2009 to 2019). Logistic regression analyses identified risk factors, and score-based prediction models were developed on the basis of these risk factors. These models were evaluated using the area under the curve (AUC) and the Hosmer?Lemeshow goodness of fit test. Internal validation was performed using bootstrapping (1,000 resamples) and a validation cohort.

Results

The study included 10,414 patients in the deri

SUBMITTER: Myeong S 

PROVIDER: S-EPMC12616146 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature