Predicting benign prostatic hyperplasia risks: model development and external validation based on three cohorts.

ABSTRACT:

Background

As benign prostatic hyperplasia (BPH) becomes increasingly prevalent, there is a growing need for simple and accurate methods to predict its risk. This study aimed to develop and validate a prediction model to identify males at high risk of developing BPH.

Methods

The model was developed using data from 210,408 participants in the UK Biobank and externally validated with 5394 participants from the China Health and Retirement Longitudinal Study (CHARLS) and 294 participants from the Fengshen study. Six methods were employed to construct prediction models utilizing readily available medical characteristics at baseline. The DeLong tests were used to assess the differences in the area under the curves (AUCs). Cox regression was adopted to examine the relationships bet

SUBMITTER: Zi H 

PROVIDER: S-EPMC12709829 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature