ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2021
Development and Internal Validation of a Prediction Model to Risk Stratify Children With Suspected Community-Acquired Pneumonia.
Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05744609 (Development and Validation of a Risk Score for Predicting Severe Outcomes Among Children Hospitalized With Community-acquired Pneumonia), which is not on this map. Cited by 28 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Development and Validation of a Risk Score for Predicting Severe Outcomes Among Children Hospitalized With Community-acquired Pneumonia
Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.
- Artificial Intelligence Models for Pediatric Lung Sound Analysis: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- Early Clinical and Inflammatory Predictors of Supplemental Oxygen Requirement in Children Hospitalized with Acute Lower Respiratory Infection: A Multivariable Analysis.Microorganisms · 2026Article
- Development and validation of an interpretable machine learning model using routine laboratory biomarkers to stratify severe pneumonia risk in young children.Journal of advanced research · 2026Article
- Derivation and validation of the Pediatric Community-Acquired Pneumonia Severity (PedCAPS) score: A prospective cohort study.Journal of hospital medicine · 2026Article
- Machine learning-based identification of inflammatory biomarkers for predicting pulmonary consolidation in children with Chlamydia pneumoniae infection.Frontiers in pediatrics · 2026Article
- Soluble ST2 as a biomarker for predicting severe adverse events among pediatric patients with Mycoplasma pneumoniae pneumonia.PloS one · 2026Article
- Prediction of risk factors for respiratory failure in children with mycoplasma pneumoniae pneumonia based on clinical pulmonary infection scores.Frontiers in pediatrics · 2026Article
- Random forest-based predictor selection and pneumonia risk probability assessment in acute respiratory infections: A cross-sectional study in Chongqing, China, 2023-2024.Biosafety and health · 2025Article
- Online Tool for Predicting Severe Cases of Childhood Community-Acquired Pneumonia Based on the PIRO Concept.Pediatric pulmonology · 2025Article
- Narrative review of clinical prediction models for paediatric community acquired pneumonia.Paediatric respiratory reviews · 2025Review
- Guideline-Concordant Antibiotic Use in Children With Community-Acquired Pneumonia.Hospital pediatrics · 2025Article
- Diagnostic Utility of Pleural C-Reactive Protein and Procalcitonin for Parapneumonic Pleural Effusion: A Head-to-Head Comparison Study.Infection and drug resistance · 2025Article
- Radiographic uncertainty and outcomes of children with lower respiratory tract infections.Pediatric pulmonology · 2024Article
- Observational
- Management of Pediatric Pneumonia: A Decade After the Pediatric Infectious Diseases Society and Infectious Diseases Society of America Guideline.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023Article
- Developing Consensus on Clinical Outcomes for Children with Mild Pneumonia: A Delphi Study.Journal of the Pediatric Infectious Diseases Society · 2023Article
- Clinical features and risk factors analysis for poor outcomes of severe community-acquired pneumonia in children: a nomogram prediction model.Frontiers in pediatrics · 2023Article
- Serum level of S100A8/A9 as a biomarker for establishing the diagnosis and severity of community-acquired pneumonia in children.Frontiers in cellular and infection microbiology · 2023Observational
- Risk Stratifying Febrile Children in the Emergency Department: An Ongoing Challenge.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2022Article
- Antibiotic use and outcomes among children hospitalized with suspected pneumonia.Journal of hospital medicine · 2022Article
Corrections and comments
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Authors and funding
7 authors at 5 institutions in 1 country.
Funding
Abstract
backgroundAlthough community-acquired pneumonia (CAP) is one of the most common infections in children, no tools exist to risk stratify children with suspected CAP. We developed and validated a prediction model to risk stratify and inform hospitalization decisions in children with suspected CAP.
methodsWe performed a prospective cohort study of children aged 3 months to 18 years with suspected CAP in a pediatric emergency department. Primary outcome was disease severity, defined as mild (discharge home or hospitalization for <24 hours with no oxygen or intravenous [IV] fluids), moderate (hospitalization <24 hours with oxygen or IV fluids, or hospitalization >24 hours), or severe (intensive care unit stay for >24 hours, septic shock, vasoactive agents, positive-pressure ventilation, chest drainage, extracorporeal membrane oxygenation, or death). Ordinal logistic regression and bootstrapped backwards selection were used to derive and internally validate our model.
resultsOf 1128 children, 371 (32.9%) developed moderate disease and 48 (4.3%) severe disease. Severity models demonstrated excellent discrimination (optimism-corrected c-indices of 0.81) and outstanding calibration. Severity predictors in the final model included respiratory rate, systolic blood pressure, oxygenation, retractions, capillary refill, atelectasis or pneumonia on chest radiograph, and pleural effusion.
conclusionsWe derived and internally validated a score that accurately predicts disease severity in children with suspected CAP. Once externally validated, this score has potential to facilitate management decisions by providing individualized risk estimates that can be used in conjunction with clinical judgment to improve the care of children with suspected CAP.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.