Models for predicting risk of endometrial cancer: a systematic review.

ABSTRACT:

Background

Endometrial cancer (EC) is the most prevalent gynaecological cancer in the UK with a rising incidence. Various models exist to predict the risk of developing EC, for different settings and prediction timeframes. This systematic review aims to provide a summary of models and assess their characteristics and performance.

Methods

A systematic search of the MEDLINE and Embase (OVID) databases was used to identify risk prediction models related to EC and studies validating these models. Papers relating to predicting the risk of a future diagnosis of EC were selected for inclusion. Study characteristics, variables included in the model, methods used, and model performance, were extracted. The Prediction model Risk-of-Bias Assessment Tool was used to assess model quality

SUBMITTER: Forder BH 

PROVIDER: S-EPMC11792366 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature