SynthesisPediatric pulmonology2021
Pediatric lung imaging features of COVID-19: A systematic review and meta-analysis.
Synthesis in Pediatric pulmonology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis 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
30 citing papers in PubMed, 1 synthesis or guideline pooled it, 63 citations in OpenAlex.
- Evidence linking COVID-19 and the health/well-being of children and adolescents: an umbrella review.BMC medicine · 2024Pooled it
- Pediatric SARS-CoV-2 long term outcomes study: chest radiographic and computed tomography findings at baseline.Pediatric radiology · 2026Article
- Radiologic analysis of CT imaging patterns and clinical correlations in hospitalized pediatric COVID-19 patients.Frontiers in radiology · 2025Article
- SARS-CoV-2 Infection and COVID-19 in Children.Clinics in chest medicine · 2023Review
- Article
- Which Groups of Children Are at More Risk of Fatality during COVID-19 Pandemic? A Case-Control Study in Yazd, Iran.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2023Article
- Rapid artificial intelligence solutions in a pandemic-The COVID-19-20 Lung CT Lesion Segmentation Challenge.Medical image analysis · 2022Article
- Radiographic Features of COVID-19 in Children-A Systematic Review.Children (Basel, Switzerland) · 2022Review
- Risk factors for disease severity and mortality of children with Covid-19: A study at a Vietnamese Children's hospital.Journal of infection and chemotherapy : official journal of the Japan Society of Chemotherapy · 2022Article
- Imaging findings in acute pediatric coronavirus disease 2019 (COVID-19) pneumonia and multisystem inflammatory syndrome in children (MIS-C).Pediatric radiology · 2022Review
- Developing artificial intelligence technology for pediatric pulmonology: Lessons from COVID-19.Pediatric pulmonology · 2022Article
- Lung Ultrasound Patterns in Multisystem Inflammatory Syndrome in Children (MIS-C)-Characteristics and Prognostic Value.Children (Basel, Switzerland) · 2022Article
- COVID-19 in Children.Pediatric clinics of North America · 2022Review
- Epidemiology, clinical features, and outcomes of coronavirus disease among children in Al-Madinah, Saudi Arabia: A retrospective study.International journal of pediatrics & adolescent medicine · 2022Article
- Autoimmune pulmonary alveolar proteinosis in children.ERJ open research · 2022Article
- COVID-19 in a group of children with asthma: presentation, severity, and outcome.American journal of clinical and experimental immunology · 2022Article
- Chest X-ray lung imaging features in pediatric COVID-19 and comparison with viral lower respiratory infections in young children.Pediatric pulmonology · 2021Article
- Computed tomography findings in 3,557 COVID-19 infected children: a systematic review.Quantitative imaging in medicine and surgery · 2021Review
- Covid-19 imaging: A narrative review.Annals of medicine and surgery (2012) · 2021Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
rationalePediatric COVID-19 studies have been mostly restricted to case reports and small case series, which have prevented the identification of specific pediatric lung disease patterns in COVID-19. The overarching goal of this systematic review and meta-analysis is to provide the first comprehensive summary of the findings of published studies thus far describing COVID-19 lung imaging data in the pediatric population.
methodsA systematic literature search of PubMed was performed to identify studies assessing lung-imaging features of COVID-19 pediatric patients (0-18 years). A single-arm meta-analysis was conducted to obtain the pooled prevalence and 95% confidence interval (95% CI).
resultsA total of 29 articles (n = 1026 children) based on chest computerized tomography (CT) images were included. The main results of this comprehensive analysis are as follows: (1) Over a third of pediatric patients with COVID-19 (35.7%, 95% CI: 27.5%-44%) had normal chest CT scans and only 27.7% (95% CI: 19.9%-35.6%) had bilateral lesions. (2) The most typical pediatric chest CT findings of COVID-19 were ground-glass opacities (GGO) (37.2%, 95% CI: 29.3%-45%) and the presence of consolidations or pneumonic infiltrates (22.3%, 95% CI: 17.8%-26.9%). (3) The lung imaging findings in children with COVID-19 were overall less frequent and less severe than in adult patients. (4) Typical lung imaging features of viral respiratory infections in the pediatric population such as increased perihilar markings and hyperinflation were not reported in children with COVID-19.
conclusionChest CT manifestations in children with COVID-19 could potentially be used for early identification and prompt intervention in the pediatric population.
Indexed as
Identifiers
What 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.