Evidence map›Paper›PMID 32389373›Full record

ArticleClinical radiology2020

Clinical characteristics and radiological features of children infected with the 2019 novel coronavirus.

Y Lu, H Wen, D Rong, Z Zhou, H Liu

Abstract read
PubMed Full text at PMC Publisher
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Article in Clinical radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 8 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

26 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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  13. SARS-CoV-2 Infection and COVID-19 in Children.Clinics in chest medicine · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Y LuDepartment of Radiology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 318 Renmin Middle Road, Guangzhou, 510120, China.
H WenDepartment of Radiology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 318 Renmin Middle Road, Guangzhou, 510120, China.
D RongDepartment of Radiology, Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, 510630, China.
Z ZhouDepartment of Radiology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 318 Renmin Middle Road, Guangzhou, 510120, China.
H LiuDepartment of Radiology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 318 Renmin Middle Road, Guangzhou, 510120, China. Electronic address: liuhongsheng0708@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo identify and summarise the common findings from 2019 novel coronavirus (2019-nCoV) infections in children. MATERIALS AND

methodsThe clinical characteristics and radiological findings (chest radiography and chest computed tomography [CT]) of nine children infected with the 2019-nCoV were reviewed in this retrospective case series.

resultsAmong the children, six had fever (including two children with cough), one had only cough, one had a stuffy nose when initially diagnosed, and one was an asymptomatic carrier. Chest radiographs seemed mostly normal in six cases whereas increased and/or disordered bilateral bronchovascular shadows and dense hilar shadows were seen in three cases. Chest CT exhibited no obvious abnormal signs in four cases. Typical CT findings included patchy, peripheral ground-grass opacities, subpleural lamellar dense shadows, and parenchymal bands. Pleural effusions, mediastinal lymphadenopathy, cavitation, and pleural thickening were absent.

conclusionThe clinical manifestations and radiological findings of the 2019-nCoV-infected children were mild and lacked a typical pattern.

Indexed as

AdolescentBetacoronavirusChildChild, PreschoolCoronavirus InfectionsCOVID-19FemaleFeverHumansInfantLungMalePandemicsPneumonia, ViralRadiographyRetrospective Studies

Identifiers

PMID32389373
PMCPMC7252054

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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.