Risk prediction models for mortality in patients with severe pneumonia: a systematic review and meta-analysis.

ABSTRACT:

Background

The number of risk prediction models for mortality in patients with severe pneumonia (SP) is increasing, while the quality and clinical applicability of these models remain unclear. This study aimed to systematically review published research on risk prediction models for mortality in patients with SP.

Methods

PubMed, Embase, Cochrane Library, and Web of Science were searched from inception to August 31, 2024. Data from selected studies were extracted, including study design, participants, diagnostic criteria, sample size, predictors, model development, and performance. The prediction model risk of bias assessment tool was used to assess the risk of bias and applicability. A meta-analysis of the area under the curve (AUC) values from validated models was conducted

SUBMITTER: Wang X 

PROVIDER: S-EPMC12325059 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature