Litcius/Paper detail

Diagnostic accuracy of lung ultrasonography in childhood pneumonia: a meta-analysis

Xiaoxue Lu, Yanping Jin, Ying Li, Liang Weng, Hui Li

2021European Journal of Emergency Medicine11 citationsDOI

Abstract

This meta-analysis aimed to assess the diagnostic accuracy of lung ultrasonography in pneumonia-affected pediatric patients. Literature search of published articles in Medline, Web of Science, Scopus, Embase and Journal of Web till September 2020 were reviewed for the predescribed accuracy assessors. In compliance with the inclusion and exclusion criteria, two researchers independently screened the literature, collected the results and assessed the risks of bias using the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool. The pooled sensitivity and specificity, pooled positive likelihood ratio, negative likelihood ratio and diagnostic odds ratio were estimated for the meta-analysis. The overall efficiency of lung ultrasonography (LUS) was evaluated using a summary receiver operating characteristic curve. Q and I2 statistics were used to determine heterogeneity. Meta disc software was used for the analysis of the study. Out of 1182 studies, only 29 articles were chosen; 25 of them were prospective studies and 4 studies were retrospective. The overall pooled sensitivity was 0.83 [95% confidence intervals (CI), 0.81-0.84] and specificity was 0.84 (95% CI, 0.81-0.86), depicting good diagnostic performance. LUS is an efficient imaging technique for detecting childhood pneumonia with a high accuracy rate. It is an appealing alternative to chest X rays to detect and follow-up pneumonia in children because it is simple to do, widely available, comparatively cheap and free of radiation hazards.

Topics & Concepts

MedicineDiagnostic accuracyConfidence intervalDiagnostic odds ratioRadiologyOdds ratioPneumoniaLikelihood ratios in diagnostic testingMeta-analysisReceiver operating characteristicInclusion and exclusion criteriaUltrasonographyProspective cohort studyMEDLINERadiation exposureLungAccuracy and precisionSensitivity (control systems)Medical physicsPredictive value of testsNuclear medicineUltrasound in Clinical ApplicationsPneumonia and Respiratory InfectionsRespiratory viral infections research