Risk prediction models for depression in patients with coronary heart disease: a systematic review and meta-analysis.

ABSTRACT:

Background

Risk prediction models for depression in patients with coronary heart disease are increasingly being developed. However, the quality and applicability of these models in clinical practice remain uncertain.

Objective

To systematically evaluate depression risk prediction models in patients with coronary heart disease (CHD).

Methods

Databases including PubMed, Web of Science, Embase, Cochrane Library, CNKI, Wanfang, VIP, and SinoMed were searched for relevant studies from inception to September 29, 2024. Two researchers independently screened the literature, extracted data, and used the Prediction Model Risk of Bias Assessment Tool (PROBAST) to evaluate the models' risk of bias and applicability.

Results

Eight studies, encompassing 13 risk prediction mo

SUBMITTER: Zhang J 

PROVIDER: S-EPMC11774958 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature