Prediction models for hospital readmissions in patients with heart disease: a systematic review and meta-analysis.

ABSTRACT:

Objective

To describe the discrimination and calibration of clinical prediction models, identify characteristics that contribute to better predictions and investigate predictors that are associated with unplanned hospital readmissions.

Design

Systematic review and meta-analysis.

Data source

Medline, EMBASE, ICTPR (for study protocols) and Web of Science (for conference proceedings) were searched up to 25 August 2020.

Eligibility criteria for selecting studies

Studies were eligible if they reported on (1) hospitalised adult patients with acute heart disease; (2) a clinical presentation of prediction models with c-statistic; (3) unplanned hospital readmission within 6 months.

Primary and secondary outcome measures

Model discrimination for unplanned hospita

SUBMITTER: Van Grootven B 

PROVIDER: S-EPMC8372817 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature