Evidence map›Paper›PMID 34414888›Full record

SynthesiseLife2021

SARS-CoV-2 shedding dynamics across the respiratory tract, sex, and disease severity for adult and pediatric COVID-19.

Paul Z Chen, Niklas Bobrovitz, Zahra A Premji, Marion Koopmans, David N Fisman, Frank X Gu

Abstract readSystematic Review
In one paragraph

Synthesis in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 2 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

39 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  13. Digital PCR to Measure SARS-CoV-2 RNA, Variants, and Outcomes in Youth.Journal of the Pediatric Infectious Diseases Society · 2023
    Article
  14. Article
  15. Article
  16. Article
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  18. SARS-CoV-2 viral load and shedding kinetics.Nature reviews. Microbiology · 2023
    Review
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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.

Paul Z ChenDepartment of Chemical Engineering & Applied Chemistry, University of Toronto, Toronto, Canada.ORCID 0000-0001-5261-1610
Niklas BobrovitzTemerty Faculty of Medicine, University of Toronto, Toronto, Canada.ORCID 0000-0001-7883-4484
Zahra A PremjiLibraries, University of Victoria, Victoria, Canada.ORCID 0000-0002-6899-0528
Marion KoopmansDepartment of Viroscience, Erasmus University Medical Center, Rotterdam, Netherlands.ORCID 0000-0002-5204-2312
David N FismanDivision of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.ORCID 0000-0001-5009-6926
Frank X GuDepartment of Chemical Engineering & Applied Chemistry, University of Toronto, Toronto, Canada.ORCID 0000-0001-8749-9075

Funding

CIHR Canadian COVID-19 Rapid Research Fund (OV4-170360)Natural Sciences and Engineering Research Council of Canada Senior Industrial Research ChairNatural Sciences and Engineering Research Council of Canada Vanier Scholarship (608544)Public Health Agency of Canada COVID-19 Immunity Task Force
6 · The paper itself

Abstract

Background: Previously, we conducted a systematic review and analyzed the respiratory kinetics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (Chen et al., 2021). How age, sex, and coronavirus disease 2019 (COVID-19) severity interplay to influence the shedding dynamics of SARS-CoV-2, however, remains poorly understood. Methods: We updated our systematic dataset, collected individual case characteristics, and conducted stratified analyses of SARS-CoV-2 shedding dynamics in the upper (URT) and lower respiratory tract (LRT) across COVID-19 severity, sex, and age groups (aged 0-17 years, 18-59 years, and 60 years or older). Results: The systematic dataset included 1266 adults and 136 children with COVID-19. Our analyses indicated that high, persistent LRT shedding of SARS-CoV-2 characterized severe COVID-19 in adults. Severe cases tended to show slightly higher URT shedding post-symptom onset, but similar rates of viral clearance, when compared to nonsevere infections. After stratifying for disease severity, sex and age (including child vs. adult) were not predictive of respiratory shedding. The estimated accuracy for using LRT shedding as a prognostic indicator for COVID-19 severity was up to 81%, whereas it was up to 65% for URT shedding. Conclusions: Virological factors, especially in the LRT, facilitate the pathogenesis of severe COVID-19. Disease severity, rather than sex or age, predicts SARS-CoV-2 kinetics. LRT viral load may prognosticate COVID-19 severity in patients before the timing of deterioration and should do so more accurately than URT viral load. Funding: Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant, NSERC Senior Industrial Research Chair, and the Toronto COVID-19 Action Fund.

Indexed as

Virus SheddingAdultChildCOVID-19FemaleHumansMalePrognosisRespiratory SystemSARS-CoV-2Severity of Illness IndexViral LoadCOVID-19 severityepidemiologyglobal healthinfectious diseaseinfectious disease epidemiologymicrobiologynonepathogenesis of severe COVID-19pediatric infectionsprognostic indicatorSARS-CoV-2 replication

Identifiers

PMID34414888
PMCPMC8504968

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.