Prediction Model Risk-of-Bias Assessment Tool for coronary artery lesions in Kawasaki disease.

ABSTRACT:

Objective

To review and critically appraise articles on prediction models for coronary artery lesions (CALs) in Kawasaki disease included in PubMed, Embase, and Web of Science databases from January 1, 1980, to December 23, 2021.

Materials and methods

Study screening, data extraction, and quality assessment were performed by two independent reviewers, with a statistics expert resolving discrepancies. Articles that developed or validated a prediction model for CALs in Kawasaki disease were included. The Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modeling Studies checklist was used to extract data from different articles, and Prediction Model Risk-of-Bias Assessment Tool (PROBAST) was used to assess the bias risk in different prediction models.

SUBMITTER: Huang H 

PROVIDER: S-EPMC9606216 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature