Insights and limitations of endometrial cancer risk prediction models for clinical applicability: a systematic review.

ABSTRACT:

Background

Endometrial cancer (EC) is the most common gynecologic cancer in high-income countries, with rising incidence rates. Risk prediction models can identify high-risk individuals, enabling targeted prevention and early intervention. Despite the development of several multivariable risk models aimed at stratifying EC risk, none have yet been adopted for clinical use in cancer prevention. This systematic review critically examines the performance, validation, and clinical applicability of existing EC risk prediction models.

Methods

We systematically searched online search engines PubMed and Ovid MEDLINE for EC risk model publications written in English from January 1, 2000, to October 9, 2024. Studies were selected based on the inclusion of multivariable models for EC r

SUBMITTER: El-Halabi S 

PROVIDER: S-EPMC12628995 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature