Evidence map›Paper›PMID 37827803›Full record

ArticleBMJ paediatrics open2023

Factors influencing viral shedding time in non-severe paediatric infection with the SARS-CoV-2: a single-centre retrospective study.

Ping Hong, Chengmei Li, Xianmin Tian, Datian Che

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMJ paediatrics open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 82% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 4 institutions in 1 country.

Ping Hong *Pediatrics department, Shanghai Changhai Hospital, Shanghai, China.
Chengmei Li *International Medical Centre, Shanghai Children's Hospital, School of medicine, Shanghai Jiaotong University, Shanghai, China.ORCID 0000-0003-4677-1719
Xianmin TianDepartment of Clinical Laboratory, Shanghai Children's Hospital, Faculty of Medical Laboratory Science, College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Datian CheInternational Medical Centre, Shanghai Children's Hospital, School of medicine, Shanghai Jiaotong University, Shanghai, China chedatian2022@163.com.
Second Military Medical University · CNShanghai Children's Hospital · CNShanghai Children's Medical Center · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to determine the factors influencing viral shedding time (VST) in non-severe paediatric infection with SARS-CoV-2).

methodsWe conducted a retrospective analysis of data from 240 non-severe paediatric infection with the SARS-CoV-2. Multivariate Cox regression analysis was used to identify independent predictors associated with VST.

resultsTwo hundred and forty patients were included in the study. The median duration of VST was 10 days (IQR, 8-13 days). Compared with patients aged <1 year, children aged 6-12 years (adjusted HR (aHR): 1.849; 95% CI 1.031 to 3.315) and >12 years (aHR: 2.180; 95% CI 1.071 to 4.439) had shorter VST. Non-leucopenia patients (aHR: 1.431; 95% CI 1.005 to 2.038) also had a lower VST. DISCUSSION: The results of this study show that children aged <1 year and children with leucopenia had longer SARS-CoV-2 VST. These factors should be taken into account when developing policies for the isolation of patients with COVID-19.

Indexed as

COVID-19SARS-CoV-2ChildHumansRetrospective StudiesTime FactorsVirus SheddingCOVID-19

Identifiers

PMID37827803
PMCPMC10582883
OpenAlexW4387581214

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.