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Dataset Information

Diagnostic models predicting paediatric viral acute respiratory infections: a systematic review.


ABSTRACT:

Objectives

To systematically review and evaluate diagnostic models used to predict viral acute respiratory infections (ARIs) in children.

Design

Systematic review.

Data sources

PubMed and Embase were searched from 1 January 1975 to 3 February 2022.

Eligibility criteria

We included diagnostic models predicting viral ARIs in children (<18 years) who sought medical attention from a healthcare setting and were written in English. Prediction model studies specific to SARS-CoV-2, COVID-19 or multisystem inflammatory syndrome in children were excluded.

Data extraction and synthesis

Study screening, data extraction and quality assessment were performed by two independent reviewers. Study characteristics, including population, methods and results, were extracted

SUBMITTER: Rankin DA 

PROVIDER: S-EPMC10124282 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature