Evidence map›Paper›PMID 33633932›Full record

ArticleTranslational pediatrics2021

Imaging characteristics of coronavirus disease 2019 (COVID-19) in pediatric cases: a systematic review and meta-analysis.

Si-Tian Zang, Xu Han, Qi Cui, Qing Chang, Qi-Jun Wu, Yu-Hong Zhao

Open access · diamondAbstract read
In one paragraph

Article in Translational pediatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 31% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
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  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Si-Tian ZangDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Xu HanDepartment of Pathology, the First Hospital of China Medical University, Shenyang, China.
Qi CuiDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Qing ChangDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Qi-Jun WuDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Yu-Hong ZhaoDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
China Medical University · CNFirst Hospital of China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe confirmed coronavirus disease 2019 (COVID-19) cases, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), have exceeded 21 million (with more than 775,000 fatalities), and the number of children with COVID-19 is also increasing. This study aimed to summarize the chest imaging characteristics of pediatric COVID-19 cases and provide a reference for the diagnosis and control of pediatric COVID-19.

methodsThe study protocol was registered in PROSPERO, number CRD42020177391. Studies related to pediatric COVID-19 imaging manifestations were accessed from PubMed, Web of Science, and the Cochrane library databases, without language limitations. The publication date was limited to April 1, 2020, and it was updated on May 1 and May 27, 2020. Data normalization was determined with the Freeman-Tukey double arcsine transformation. Summarized incidences with 95% confidence intervals of various imaging manifestations were assessed by random-effects models. Heterogeneity was assessed with meta-regression and subgroup analyses, robustness with sensitivity analyses; and publication biases with Egger's test.

resultsTwenty-three with 517 cases were included in this study. The summarized incidence of chest computed tomography abnormalities in pediatric COVID-19 cases was 70%, which was lower than what has been seen in adults. The incidence of halo signs in pediatric COVID-19 cases was 26%, which is rarely seen in adult COVID-19 cases. The incidences of ground-glass opacities (GGOs), GGOs and consolidations, consolidations, reverse halo signs, crazy paving signs, pleural effusion, bronchopneumonia-like signs, air bronchograms, and increased lung markings were 40%, 25%, 10%, 2%, 4%, 1%, 15%, 12%, and 31%, respectively. Pericardial effusions were found in the computed tomography images of adult COVID-19 cases but were scarcely seen in the computed tomography images of pediatric COVID-19 cases. The incidences of bilateral lesions, unilateral lesions, and peripheral lesions were 35%, 22%, and 26%, respectively.

conclusionsChest computed tomography imaging of pediatric COVID-19 cases resulted in various abnormalities that were milder than those of adults. This study will hopefully provide a reference to help identify pediatric COVID-19 cases.

Indexed as

Coronavirus disease 2019 (COVID-19)imaging characteristicsmeta-analysispediatricssevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)

Identifiers

PMID33633932
PMCPMC7882282
OpenAlexW3125494430

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.