Prognostic models for predicting in-hospital paediatric mortality in resource-limited countries: a systematic review.

ABSTRACT:

Objectives

To identify and appraise the methodological rigour of multivariable prognostic models predicting in-hospital paediatric mortality in low-income and middle-income countries (LMICs).

Design

Systematic review of peer-reviewed journals.

Data sources

MEDLINE, CINAHL, Google Scholar and Web of Science electronic databases since inception to August 2019.

Eligibility criteria

We included model development studies predicting in-hospital paediatric mortality in LMIC.

Data extraction and synthesis

This systematic review followed the Checklist for critical Appraisal and data extraction for systematic Reviews of prediction Modelling Studies framework. The risk of bias assessment was conducted using Prediction model Risk of Bias Assessment Tool (PROBAST). N

SUBMITTER: Ogero M 

PROVIDER: S-EPMC7574949 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature