Predictive Modeling for Readmission to Intensive Care: A Systematic Review.

ABSTRACT: To evaluate the methodologic rigor and predictive performance of models predicting ICU readmission; to understand the characteristics of ideal prediction models; and to elucidate relationships between appropriate triage decisions and patient outcomes.

Data sources

PubMed, Web of Science, Cochrane, and Embase.

Study selection

Primary literature that reported the development or validation of ICU readmission prediction models within from 2010 to 2021.

Data extraction

Relevant study information was extracted independently by two authors using the Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies checklist. Bias was evaluated using the Prediction model Risk Of Bias ASsessment Tool. Data sources, modeling methodology, definition of

SUBMITTER: Ruppert MM 

PROVIDER: S-EPMC9829260 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature