Prediction modelling in the early detection of neonatal sepsis.

ABSTRACT:

Background

Prediction modelling can greatly assist the health-care professionals in the management of diseases, thus sparking interest in neonatal sepsis diagnosis. The main objective of the study was to provide a complete picture of performance of prediction models for early detection of neonatal sepsis.

Methods

PubMed, Scopus, CINAHL databases were searched and articles which used various prediction modelling measures for the early detection of neonatal sepsis were comprehended. Data extraction was carried out based on Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies checklist. Extricate data consisted of objective, study design, patient characteristics, type of statistical model, predictors, outcome, sample size and location. P

SUBMITTER: Sahu P 

PROVIDER: S-EPMC8898244 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature