Evidence map›Paper›PMID 34138915›Full record

ArticlePloS one2021

Predictors of incident viral symptoms ascertained in the era of COVID-19.

Gregory M Marcus, Jeffrey E Olgin, Noah D Peyser, Eric Vittinghoff, Vivian Yang, Sean Joyce, Robert Avram, Geoffrey H Tison, David Wen, Xochitl Butcher and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
1.0field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
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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

12 authors at 1 institution in 1 country.

Gregory M MarcusDivision of Cardiology, Department of Medicine, University of California, San Francisco, California, United States of America.ORCID 0000-0001-5197-7696
Jeffrey E OlginDivision of Cardiology, Department of Medicine, University of California, San Francisco, California, United States of America.
Noah D PeyserDivision of Cardiology, Department of Medicine, University of California, San Francisco, California, United States of America.
Eric VittinghoffDivision of Cardiology, Department of Medicine, University of California, San Francisco, California, United States of America.ORCID 0000-0001-8535-0920
Vivian YangDivision of Cardiology, Department of Medicine, University of California, San Francisco, California, United States of America.
Sean JoyceDivision of Cardiology, Department of Medicine, University of California, San Francisco, California, United States of America.
Robert AvramDivision of Cardiology, Department of Medicine, University of California, San Francisco, California, United States of America.ORCID 0000-0002-8490-0270
Geoffrey H TisonDivision of Cardiology, Department of Medicine, University of California, San Francisco, California, United States of America.
David WenDivision of Cardiology, Department of Medicine, University of California, San Francisco, California, United States of America.ORCID 0000-0003-1986-2164
Xochitl ButcherDivision of Cardiology, Department of Medicine, University of California, San Francisco, California, United States of America.
Helena EitelDivision of Cardiology, Department of Medicine, University of California, San Francisco, California, United States of America.
Mark J PletcherDivision of Cardiology, Department of Medicine, University of California, San Francisco, California, United States of America.
University of California, San Francisco · US

Funding

The Health ePeople Resource for Mobilized ResearchU2CEB021881 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MARCUS, GREGORY M, OLGIN, JEFFREY E · 2015 to 2020
$10.3M
MHC Variation in Host Response to SARS-CoV2 and COVID-19 OutcomesR01AI159260 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HOLLENBACH, JILL ALLISON · 2021 to 2025
$4.0M
NIAID NIH HHS R01 AI159260NIBIB NIH HHS U2C EB021881
6 · The paper itself

Abstract

backgroundIn the absence of universal testing, effective therapies, or vaccines, identifying risk factors for viral infection, particularly readily modifiable exposures and behaviors, is required to identify effective strategies against viral infection and transmission.

methodsWe conducted a world-wide mobile application-based prospective cohort study available to English speaking adults with a smartphone. We collected self-reported characteristics, exposures, and behaviors, as well as smartphone-based geolocation data. Our main outcome was incident symptoms of viral infection, defined as fevers and chills plus one other symptom previously shown to occur with SARS-CoV-2 infection, determined by daily surveys.

findingsAmong 14, 335 participants residing in all 50 US states and 93 different countries followed for a median 21 days (IQR 10-26 days), 424 (3%) developed incident viral symptoms. In pooled multivariable logistic regression models, female biological sex (odds ratio [OR] 1.75, 95% CI 1.39-2.20, p<0.001), anemia (OR 1.45, 95% CI 1.16-1.81, p = 0.001), hypertension (OR 1.35, 95% CI 1.08-1.68, p = 0.007), cigarette smoking in the last 30 days (OR 1.86, 95% CI 1.35-2.55, p<0.001), any viral symptoms among household members 6-12 days prior (OR 2.06, 95% CI 1.67-2.55, p<0.001), and the maximum number of individuals the participant interacted with within 6 feet in the past 6-12 days (OR 1.15, 95% CI 1.06-1.25, p<0.001) were each associated with a higher risk of developing viral symptoms. Conversely, a higher subjective social status (OR 0.87, 95% CI 0.83-0.93, p<0.001), at least weekly exercise (OR 0.57, 95% CI 0.47-0.70, p<0.001), and sanitizing one's phone (OR 0.79, 95% CI 0.63-0.99, p = 0.037) were each associated with a lower risk of developing viral symptoms.

interpretationWhile several immutable characteristics were associated with the risk of developing viral symptoms, multiple immediately modifiable exposures and habits that influence risk were also observed, potentially identifying readily accessible strategies to mitigate risk in the COVID-19 era.

Indexed as

AdultCOVID-19FemaleFeverHumansIncidenceLogistic ModelsMaleMiddle AgedMultivariate AnalysisPandemicsProspective StudiesRisk FactorsSARS-CoV-2Self ReportSmartphone

Identifiers

PMID34138915
PMCPMC8211176
OpenAlexW3172280019

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.