Evidence map›Paper›PMID 33296437›Full record

Trial reportPloS one2020

Transmissibility of COVID-19 depends on the viral load around onset in adult and symptomatic patients.

Hitoshi Kawasuji, Yusuke Takegoshi, Makito Kaneda, Akitoshi Ueno, Yuki Miyajima, Koyomi Kawago, Yasutaka Fukui, Yoshihiro Yoshida, Miyuki Kimura, Hiroshi Yamada and 4 more

Abstract readClinical Trial
In one paragraph

Trial report in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 3 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

82 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Nirmatrelvir combined with ritonavir for preventing and treating COVID-19.The Cochrane database of systematic reviews · 2023
    Pooled it
  2. Nirmatrelvir combined with ritonavir for preventing and treating COVID-19.The Cochrane database of systematic reviews · 2022
    Pooled it
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  12. Infectious virus shedding duration reflects secretory IgA antibody response latency after SARS-CoV-2 infection.Proceedings of the National Academy of Sciences of the United States of America · 2023
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22 more citing papers are in PubMed but not listed here.

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

14 authors.

Hitoshi KawasujiDepartment of Clinical Infectious Diseases, Toyama University Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.
Yusuke TakegoshiDepartment of Clinical Infectious Diseases, Toyama University Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.
Makito KanedaDepartment of Clinical Infectious Diseases, Toyama University Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.
Akitoshi UenoDepartment of Clinical Infectious Diseases, Toyama University Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.
Yuki MiyajimaDepartment of Clinical Infectious Diseases, Toyama University Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.
Koyomi KawagoDepartment of Clinical Infectious Diseases, Toyama University Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.
Yasutaka FukuiDepartment of Clinical Infectious Diseases, Toyama University Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.
Yoshihiro YoshidaDepartment of Microbiology, Toyama University Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.
Miyuki KimuraDepartment of Microbiology, Toyama University Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.
Hiroshi YamadaDepartment of Microbiology, Toyama University Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.
Ippei SakamakiDepartment of Clinical Infectious Diseases, Toyama University Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.
Hideki TaniDepartment of Microbiology, Toyama University Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.
Yoshitomo MorinagaDepartment of Microbiology, Toyama University Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.
Yoshihiro YamamotoDepartment of Clinical Infectious Diseases, Toyama University Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.ORCID 0000-0003-2088-8724

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the relationship between viral load and secondary transmission in novel coronavirus disease 2019 (COVID-19).

methodsEpidemiological and clinical data were obtained from immunocompetent laboratory-confirmed patients with COVID-19 who were admitted to and/or from whom viral loads were measured at Toyama University Hospital. Using a case-control approach, index patients who transmitted the disease to at least one other patient were analysed as "cases" (index patients) compared with patients who were not the cause of secondary transmission (non-index patients, analysed as "controls"). The viral load time courses were assessed between the index and non-index symptomatic patients using non-linear regression employing a standard one-phase decay model.

resultsIn total, 28 patients were included in the analysis. Median viral load at the initial sample collection was significantly higher in symptomatic than in asymptomatic patients and in adults than in children. Among symptomatic patients (n = 18), non-linear regression models showed that the estimated viral load at onset was higher in the index than in the non-index patients (median [95% confidence interval]: 6.6 [5.2-8.2] vs. 3.1 [1.5-4.8] log copies/μL, respectively). In adult (symptomatic and asymptomatic) patients (n = 21), median viral load at the initial sample collection was significantly higher in the index than in the non-index patients (p = 0.015, 3.3 vs. 1.8 log copies/μL, respectively).

conclusionsHigh nasopharyngeal viral loads around onset may contribute to secondary transmission of COVID-19. Viral load may help provide a better understanding of why transmission is observed in some instances, but not in others, especially among household contacts.

Indexed as

COVID-19Models, BiologicalNasopharynxViral LoadAdolescentAdultAgedCase-Control StudiesChildChild, PreschoolFemaleHumansInfantInfant, NewbornMaleMiddle Aged

Identifiers

PMID33296437
PMCPMC7725311

What OpenQuestion holds

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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.