Evidence map›Paper›PMID 33141862›Full record

SynthesisPloS one2020

Proportion of asymptomatic infection among COVID-19 positive persons and their transmission potential: A systematic review and meta-analysis.

Mercedes Yanes-Lane, Nicholas Winters, Federica Fregonese, Mayara Bastos, Sara Perlman-Arrow, Jonathon R Campbell, Dick Menzies

Registry-linked trialOpen access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05290792 (Use of Wearable Sensors for Early Detection and Tracking of Viral Respiratory Tract Infections), which is not on this map. Cited by 171 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
171citing papers in PubMed, 10 pooled it
29.7field-weighted citation impact, top 1% 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.

NCT05290792 nacompletednot on this mapstarted 2021, after this paper: background citation

Use of Wearable Sensors for Early Detection and Tracking of Viral Respiratory Tract Infections: The WE SENSE Study

TypeinterventionalSponsorEmily McDonaldRan2021 to 2022Enrolled56ConditionsViral Respiratory Tract Infection, InfluenzaArmsAdministration of FluMist (Live Attenuated Influenza Vaccine)
3 · Its place in the literature

Who cites it

171 citing papers in PubMed, 10 syntheses or guidelines pooled it, 336 citations in OpenAlex.

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  18. Clinicopathologic discordance-a not unexpected occurrence.Forensic science, medicine, and pathology · 2024
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111 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

7 authors at 2 institutions in 1 country.

Mercedes Yanes-LaneResearch Institute, McGill University Health Centre, Montreal, Quebec, Canada.ORCID 0000-0003-2121-772X
Nicholas WintersDepartment of Epidemiology, Biostatistics and Occupational Health, McGill University, Quebec, Canada.
Federica FregoneseResearch Institute, McGill University Health Centre, Montreal, Quebec, Canada.
Mayara BastosResearch Institute, McGill University Health Centre, Montreal, Quebec, Canada.
Sara Perlman-ArrowResearch Institute, McGill University Health Centre, Montreal, Quebec, Canada.
Jonathon R CampbellResearch Institute, McGill University Health Centre, Montreal, Quebec, Canada.
Dick MenziesResearch Institute, McGill University Health Centre, Montreal, Quebec, Canada.
McGill University Health Centre · CAMcGill University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe study objective was to conduct a systematic review and meta-analysis on the proportion of asymptomatic infection among coronavirus disease 2019 (COVID-19) positive persons and their transmission potential.

methodsWe searched Embase, Medline, bioRxiv, and medRxiv up to 22 June 2020. We included cohorts or cross-sectional studies which systematically tested populations regardless of symptoms for COVID-19, or case series of any size reporting contact investigations of asymptomatic index patients. Two reviewers independently extracted data and assessed quality using pre-specified criteria. Only moderate/high quality studies were included. The main outcomes were proportion of asymptomatic infection among COVID-19 positive persons at testing and through follow-up, and secondary attack rate among close contacts of asymptomatic index patients. A qualitative synthesis was performed. Where appropriate, data were pooled using random effects meta-analysis to estimate proportions and 95% confidence intervals (95% CI).

resultsOf 6,137 identified studies, 71 underwent quality assessment after full text review, and 28 were high/moderate quality and were included. In two general population studies, the proportion of asymptomatic COVID-19 infection at time of testing was 20% and 75%, respectively; among three studies in contacts it was 8.2% to 50%. In meta-analysis, the proportion (95% CI) of asymptomatic COVID-19 infection in obstetric patients was 95% (45% to 100%) of which 59% (49% to 68%) remained asymptomatic through follow-up; among nursing home residents, the proportion was 54% (42% to 65%) of which 28% (13% to 50%) remained asymptomatic through follow-up. Transmission studies were too heterogenous to meta-analyse. Among five transmission studies, 18 of 96 (18.8%) close contacts exposed to asymptomatic index patients were COVID-19 positive.

conclusionsDespite study heterogeneity, the proportion of asymptomatic infection among COVID-19 positive persons appears high and transmission potential seems substantial. To further our understanding, high quality studies in representative general population samples are required.

Indexed as

Asymptomatic InfectionsBetacoronavirusCoronavirus InfectionsCOVID-19Databases, FactualHumansPandemicsPneumonia, ViralPrevalenceSARS-CoV-2

Identifiers

PMID33141862
PMCPMC7608887
OpenAlexW3097790633

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.