Diagnostic Accuracy of Lung Ultrasound for Pneumonia in Acutely and Critically Ill Neonates, Children, and Young Adults: A Systematic Review and Meta-Analysis

<b>Background:</b> Pneumonia remains a major cause of morbidity and mortality among critically ill children. Lung ultrasound has emerged as a promising bedside diagnostic tool. <b>Methods</b>: A systematic review and meta-analysis across PubMed, Embase, The Cochrane Library, Scopus, World Health Organization Libraries, Epistemonikos, and MedRxiv was conducted to evaluate the diagnostic accuracy of lung ultrasound for pneumonia in paediatric patients. Publication bias was evaluated using the generalised Egger's test. Diagnostic performance metrics, including sensitivity, specificity, and the area under the receiver operating characteristic curve were pooled using a bivariate random-effects model. <b>Results:</b> Thirty studies comprising a total of 4356 children were included. The studies were of high methodological quality, with minimal heterogeneity. Lung ultrasound pooled sensitivity was 91% (95% CI: 87-94%), and specificity was 90% (95% CI: 83-94%). The ROC curve was 0.95 (95% CI: 0.90-0.95), indicating excellent diagnostic performance. <b>Conclusions:</b> LUS is a reliable and accurate imaging modality for diagnosing pneumonia in critically ill children. The findings support its use as a first-line diagnostic tool in emergency and intensive care settings. PROSPERO Research registration number: CRD42021223679.

Authors

Institutions

Publication Details

Journal
Diagnostics
Published
2025-12-08
DOI
https://doi.org/10.3390/diagnostics15243122
Primary Topic
Ultrasound in Clinical Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Diagnostic Accuracy of Lung Ultrasound for Pneumonia in Acutely and Critically Ill Neonates, Children, and Young Adults: A Systematic Review and Meta-Analysis

Josep L. Carrasco, Mònica Balaguer, Juan Luís Becerra, Carmina Guitart et al.
Diagnostics
Ultrasound in Clinical Applications
article

Diagnostic Accuracy of Lung Ultrasound for Pneumonia in Acutely and Critically Ill Neonates, Children, and Young Adults: A Systematic Review and Meta-Analysis

Josep L. Carrasco, Mònica Balaguer, Juan Luís Becerra, Carmina Guitart, Sara Bobillo‐Pérez, Iolanda Jordán, Gonzalo Peon
article en

Abstract

<b>Background:</b> Pneumonia remains a major cause of morbidity and mortality among critically ill children. Lung ultrasound has emerged as a promising bedside diagnostic tool. <b>Methods</b>: A systematic review and meta-analysis across PubMed, Embase, The Cochrane Library, Scopus, World Health Organization Libraries, Epistemonikos, and MedRxiv was conducted to evaluate the diagnostic accuracy of lung ultrasound for pneumonia in paediatric patients. Publication bias was evaluated using the generalised Egger's test. Diagnostic performance metrics, including sensitivity, specificity, and the area under the receiver operating characteristic curve were pooled using a bivariate random-effects model. <b>Results:</b> Thirty studies comprising a total of 4356 children were included. The studies were of high methodological quality, with minimal heterogeneity. Lung ultrasound pooled sensitivity was 91% (95% CI: 87-94%), and specificity was 90% (95% CI: 83-94%). The ROC curve was 0.95 (95% CI: 0.90-0.95), indicating excellent diagnostic performance. <b>Conclusions:</b> LUS is a reliable and accurate imaging modality for diagnosing pneumonia in critically ill children. The findings support its use as a first-line diagnostic tool in emergency and intensive care settings. PROSPERO Research registration number: CRD42021223679.

DiagnosticsVol. 15(24)
Universitat de Vic - Universitat Central de Catalunya (ES), Hospital Sant Joan de Déu Barcelona (ES), Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (ES), Universitat de Barcelona (ES)
Openalex Percentile: Top 53%
Ultrasound in Clinical Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.