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Dataset Information

Prediction Models for Bronchopulmonary Dysplasia in Preterm Infants: A Systematic Review.


ABSTRACT:

Objective

To provide an overview and critical appraisal of prediction models for bronchopulmonary dysplasia (BPD) in preterm infants.

Methods

We searched PubMed, Embase, and the Cochrane Library to identify relevant studies (up to November 2021). We included studies that reported prediction model development and/or validation of BPD in preterm infants born at ≤32 weeks and/or ≤1,500 g birth weight. We extracted the data independently based on the CHecklist for critical Appraisal and data extraction for systematic Reviews of prediction Modelling Studies (CHARMS). We assessed risk of bias and applicability independently using the Prediction model Risk Of Bias ASsessment Tool (PROBAST).

Results

Twenty-one prediction models from 13 studies reporting on model development a

SUBMITTER: Peng HB 

PROVIDER: S-EPMC9133667 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature