ArticleEmergency radiology2010
Intraobserver and interobserver agreement of the interpretation of pediatric chest radiographs.
Article in Emergency radiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
43 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Lung ultrasound in diagnosing pneumonia in childhood: a systematic review and meta-analysis.Journal of ultrasound · 2018Pooled it
- The management of community-acquired pneumonia in infants and children older than 3 months of age: clinical practice guidelines by the Pediatric Infectious Diseases Society and the Infectious Diseases Society of America.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2011Guideline
- The influence of chest X-ray results on antibiotic prescription for childhood pneumonia in the emergency department.European journal of pediatrics · 2021Trial
- Lung ultrasound for the diagnosis of pneumonia in children with acute bronchiolitis.BMC pulmonary medicine · 2018Trial
- Diagnostic Performance of Different AI Tools for Chest Radiography: A CT-Anchored Per-Abnormality Analysis in a Tertiary Referral Center.Diagnostics (Basel, Switzerland) · 2026Article
- Diagnostic Accuracy of Lung Ultrasound for Pneumonia in Acutely and Critically Ill Neonates, Children, and Young Adults: A Systematic Review and Meta-Analysis.Diagnostics (Basel, Switzerland) · 2025Review
- Using AI system to detect active tuberculosis in a high-prevalence setting on CT scans: a multi-center study.Scientific reports · 2025Article
- Article
- Community-Acquired Pneumonia Diagnosis Following Emergency Department Visits for Respiratory Illness.Clinical pediatrics · 2025Article
- Testing and Treatment Thresholds for Pediatric Pneumonia in the Emergency Department.Hospital pediatrics · 2024Article
- Pediatric chest radiograph interpretation in a real-life setting.European journal of pediatrics · 2024Article
- Cost of Pediatric Pneumonia Episodes With or Without Chest Radiography.Hospital pediatrics · 2024Article
- Comparative thoracic radiography in healthy and tuberculosis-positive sun bears (Frontiers in veterinary science · 2024Article
- Association of Radiology Findings with Etiology of Community Acquired Pneumonia among Children.The Journal of pediatrics · 2023Article
- Association of Chest Radiography With Outcomes in Pediatric Pneumonia: A Population-Based Study.Hospital pediatrics · 2023Article
- Diagnosis of asthmatic pneumonia in children by lung ultrasound vs. chest X-ray: an updated systematic review and meta-analysis.Postepy dermatologii i alergologii · 2023Article
- The development of a novel natural language processing tool to identify pediatric chest radiograph reports with pneumonia.Frontiers in digital health · 2023Article
- Association of Artificial Intelligence-Aided Chest Radiograph Interpretation With Reader Performance and Efficiency.JAMA network open · 2022Article
- Article
- Variability of Grading DR Screening Images among Non-Trained Retina Specialists.Journal of clinical medicine · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The objective of this study is to quantify the magnitude of intraobserver and interobserver agreement among physicians for the interpretation of pneumonia on pediatric chest radiographs. Chest radiographs that produced discordant interpretations between the emergency physician and the radiologist's final interpretation were identified for patients aged 1-4 years. From 24 radiographs, eight were randomly selected as study radiographs, and 16 were diversion films. Study participants included two pediatric radiologists, two senior emergency medicine physicians, and two junior fellowship-trained pediatric emergency medicine physicians. Each test included 12 radiographs: the eight study radiographs and four randomly interspersed diversion radiographs, and each radiograph was paired with a written clinical vignette. Testing was repeated on four occasions, separated by > or =2 weeks. The dependent variable was the interpretation of presence or absence of pneumonia; primary analysis done with Cohen's kappa (95% confidence intervals). Intraobserver agreement was good for pediatric radiologists (kappa = 0.87; 95% CI 0.60-0.99) for both but was lower for senior emergency physicians (mean kappa = 0.68; 95% CI 0.40-0.95) and junior pediatric emergency physicians (mean kappa = 0.62; 95% CI 0.35-0.98). Interobserver agreement was fair to moderate overall; between pediatric radiologists, kappa = 0.51 (0.39-0.64); between senior emergency physicians, kappa = 0.55 (0.41-69), and between junior pediatric emergency medicine physicians, kappa = 0.37 (0.25-0.51). Practicing emergency clinicians demonstrate considerable intraobserver and interobserver variability in the interpretation of pneumonia on pediatric chest radiographs.
Indexed as
Identifiers
20091078What OpenQuestion holds
Registered trials
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.