Evidence map›Paper›PMID 32361323›Full record

ArticleJournal of clinical virology : the official publication of the Pan American Society for Clinical Virology2020

Clinical features of pediatric patients with coronavirus disease (COVID-19).

Wenliang Song, Junhua Li, Ning Zou, Wenhe Guan, Jiali Pan, Wei Xu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 18 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 18 pooled it
–field-weighted citation impact
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

52 citing papers in PubMed, 18 syntheses or guidelines pooled it.

  1. Pooled it
  2. Asymptomatic SARS-CoV-2 infection: A systematic review and meta-analysis.Proceedings of the National Academy of Sciences of the United States of America · 2021
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  5. COVID-19 under 19: A meta-analysis.Pediatric pulmonology · 2021
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  6. Antibiotic prescribing in patients with COVID-19: rapid review and meta-analysis.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2021
    Pooled it
  7. Prevalence, clinical characteristics, and outcomes of pediatric COVID-19: A systematic review and meta-analysis.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2021
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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.

Wenliang SongDepartment of Pediatrics, Shengjing Hospital of China Medical University, No.36, SanHao Street, Shenyang City, Liaoning Province 110004, People's Republic of China. Electronic address: songwl2002jason@163.com.
Junhua LiDepartment of Pediatrics, Central Hospital of XiangYang City, Xiangyang City, Hubei Province, People's Republic of China. Electronic address: m13797631535@163.com.
Ning ZouDepartment of Pediatrics, Shengjing Hospital of China Medical University, No.36, SanHao Street, Shenyang City, Liaoning Province 110004, People's Republic of China. Electronic address: xdzning0215@163.com.
Wenhe GuanDepartment of Pediatrics, Shengjing Hospital of China Medical University, No.36, SanHao Street, Shenyang City, Liaoning Province 110004, People's Republic of China. Electronic address: guanwenhe@126.com.
Jiali PanDepartment of Pediatrics, Shengjing Hospital of China Medical University, No.36, SanHao Street, Shenyang City, Liaoning Province 110004, People's Republic of China. Electronic address: cmu107819@163.com.
Wei XuDepartment of Pediatrics, Shengjing Hospital of China Medical University, No.36, SanHao Street, Shenyang City, Liaoning Province 110004, People's Republic of China. Electronic address: tomxu.123@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus disease 2019 (COVID-19) caused by SARS-CoV-2 has spread around the world, and reports of children with COVID-19 are increasing.

objectivesTo assess clinical profiles of pediatric COVID-19. STUDY

designA retrospective analysis was undertaken using clinical data of sixteen children (11 months-14 years) diagnosed with COVID-19 between January 1, 2020 and March 17, 2020 at Xiangyang Central Hospital, Hubei province, China.

resultsAll children had positive epidemiologic histories, 12 (12/16, 75 %) involving family units. The illnesses were either mild (5/16, 31.3 %) or ordinary (11/16, 68.8 %), presenting as follows: asymptomatic (8/16, 50 %), fever and/or cough (8/16, 50 %). Four asymptomatic patients (4/16, 25 %) in ordinary cases had chest computed tomography (CT) abnormalities. Leukocyte counts were normal in 14 cases(88 %), but 2 patients (12.5 %) had leukopenia, and 1 (6.3 %) was lymphopenic. There were 11 patients with chest CT abnormalities, some nodular, others small patchy and others ground-glass opacities. In asymptomatic children, the median time to SRAS-CoV-2 nucleic acid test(NAT) positivity once exposed to a family member with confirmed infection was 15.5 days (range, 10-26 days). The median time to first NAT-negative conversion was 5.5 days (range, 1-23 days).

conclusionsCOVID-19 in children of Xiangyang city is often family acquired and not serious, with favorable outcomes. Asymptomatic children can be diagnosed as pneumonia because of chest CT abnormalities. It is essential to actively screen this segment of the population.

Indexed as

AdolescentAsymptomatic InfectionsBetacoronavirusChildChild, PreschoolChinaCoronavirus InfectionsCoughCOVID-19FemaleFeverHumansInfantLungMalePandemicsChildrenNovel coronavirus disease (COVID-19)SARS-CoV-2

Identifiers

PMID32361323
PMCPMC7195294

What OpenQuestion holds

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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.