Evidence map›Paper›PMID 35089936›Full record

ArticlePloS one2022

Self-reported symptoms as predictors of SARS-CoV-2 infection in the general population living in the Amsterdam region, the Netherlands.

Jizzo R Bosdriesz, Feiko Ritsema, Tjalling Leenstra, Mariska W F Petrignani, Sylvia M Bruisten, Liza Coyer, Anja J M Schreijer, Yvonne T H P van Duijnhoven, Maarten F Schim van der Loeff, Amy A Matser

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

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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

10 authors at 1 institution in 1 country.

Jizzo R BosdrieszDepartment of Infectious Diseases, Public Health Service of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0002-1038-7814
Feiko RitsemaDepartment of Infectious Diseases, Public Health Service of Amsterdam, Amsterdam, The Netherlands.
Tjalling LeenstraDepartment of Infectious Diseases, Public Health Service of Amsterdam, Amsterdam, The Netherlands.
Mariska W F PetrignaniDepartment of Infectious Diseases, Public Health Service of Amsterdam, Amsterdam, The Netherlands.
Sylvia M BruistenDepartment of Infectious Diseases, Public Health Service of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0003-4897-4261
Liza CoyerDepartment of Infectious Diseases, Public Health Service of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0001-5830-2982
Anja J M SchreijerDepartment of Infectious Diseases, Public Health Service of Amsterdam, Amsterdam, The Netherlands.
Yvonne T H P van DuijnhovenDepartment of Infectious Diseases, Public Health Service of Amsterdam, Amsterdam, The Netherlands.
Maarten F Schim van der LoeffDepartment of Infectious Diseases, Public Health Service of Amsterdam, Amsterdam, The Netherlands.
Amy A MatserDepartment of Infectious Diseases, Public Health Service of Amsterdam, Amsterdam, The Netherlands.
GGD Amsterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMost COVID-19 symptoms are non-specific and also common in other respiratory infections. We aimed to assess which symptoms are most predictive of a positive test for SARS-CoV-2 in symptomatic people of the general population who were tested.

methodsWe used anonymised data of all SARS-CoV-2 test results from the Public Health Service of Amsterdam from June 1,2020 through August 31, 2021. Symptoms were self-reported at time of requesting a test. Multivariable logistic regression models with generalized estimating equations were used to identify predictors of a positive test. Included symptoms were: cough, fever, loss of smell or taste, muscle ache, runny nose, shortness of breath, and throat ache; adjustments were made for age and gender, and stratification by month.

resultsOverall, 12.0% of 773,680 tests in 432,213 unique individuals were positive. All symptoms were significantly associated with a positive test result, the strongest positive associations were: cough (aOR = 1.78, 95%CI = 1.75-1.80), fever (aOR = 2.11, 95%CI = 2.07-2.14), loss of smell or taste (aOR = 2.55, 95%CI = 2.50-2.61), and muscle ache (aOR = 2.38, 95%CI = 2.34-2.43). The adjusted odds ratios for loss of smell or taste slightly declined over time, while that for cough increased.

conclusionCough, fever, loss of smell or taste, and muscle ache appear to be most strongly associated with a positive SARS-CoV-2 test in symptomatic people of the general population who were tested.

Indexed as

AdolescentAdultAgedChildCOVID-19COVID-19 TestingFemaleHumansMaleMiddle AgedNetherlandsSelf Report

Identifiers

PMID35089936
PMCPMC8797231
OpenAlexW4210542036

What OpenQuestion holds

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LicenceCC BY
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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.