ArticleItalian journal of pediatrics2025
An international standardization to study the clinical use of lung ultrasound to discriminate viral, bacterial and atypical pneumonia in children with community acquired pneumonia.
Article in Italian journal of pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The trial behind it
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Who cites it
5 citing papers in PubMed.
- Lung Ultrasound in Children: Principles, Techniques, and Clinical Applications.Diagnostics (Basel, Switzerland) · 2026Review
- Lung ultrasound combined with C-reactive protein for identifying a bacterial component in children hospitalized with acute lower respiratory tract infections: a prospective observational study.European journal of pediatrics · 2026Observational
- Lung ultrasound for necrotizing pneumonia in children - from diagnostic confirmation to clinical decision-making.Pediatric research · 2026Article
- Pediatric lung ultrasound: Tips and tricks for better scanning and interpretation.Multidisciplinary respiratory medicine · 2026Article
- Lung ultrasound for the diagnosis and monitoring of community-acquired pneumonia in children: a prospective observational study.Frontiers in pediatrics · 2025Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
backgroundCommunity-acquired pneumonia (CAP) is a leading cause of morbidity and mortality in the pediatric population worldwide. Establishing a definitive etiological diagnosis in children with CAP remains challenging, as clinical, laboratory, and radiologic findings are often insufficient. Consequently, empirical and frequently unnecessary antibiotic treatments are commonly prescribed. MAIN BODY: Lung ultrasound (LUS) has demonstrated diagnostic accuracy comparable to chest X-ray (CXR) for CAP, while eliminating radiation exposure. Emerging evidence suggests that LUS may also differentiate the underlying etiologies of CAP. Assuming that distinct CAP etiologies exhibit characteristic LUS features, we aim to design a study protocol to develop a predictive model that integrates a child's clinical information with their specific LUS patterns to inform individualized treatment strategies.
conclusionsThis clinical approach will comprehensively evaluate clinical, laboratory, LUS, and outcome data from pediatric patients with CAP of various causes. If more centers will use the same approach, this will allow to gather in the short time data from large and diverse cohorts to facilitate the optimization and understanding of how LUS can potentially help understanding the etiology of CAP. The integrated data will be used to support tailored management strategies for pediatric CAP.
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