Unknown

Dataset Information

A nomogram for predicting bladder dysfunction in patients with type 2 diabetes mellitus: a retrospective study.


ABSTRACT:

Background

Diabetic bladder dysfunction (DBD) is a common urinary complication in diabetic patients, significantly affecting their overall well-being and quality of life, and placing a considerable burden on healthcare resources. Early prevention is crucial; however, the absence of a simple and effective tool to predict DBD onset remains a significant challenge. This study aims to identify risk factors for DBD in patients with type 2 diabetes mellitus (T2DM) and to develop a predictive nomogram for clinical application.

Methods

This retrospective study included patients with T2DM treated at two hospitals. Data from patients treated at one hospital between January 2020 and August 2023 were used to create the training set, while data from patients treated at another hospital b

SUBMITTER: Hu Y 

PROVIDER: S-EPMC11760200 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature