Evidence map›Paper›PMID 34645534›Full record

ArticleEpidemiology and infection2021

Prevalence and determinants of serum antibodies to SARS-CoV-2 in the general population of the Gardena valley.

Roberto Melotti, Federica Scaggiante, Michela Falciani, Christian X Weichenberger, Luisa Foco, Stefano Lombardo, Alessandro De Grandi, Dorothee von Laer, Angelika Mahlknecht, Peter P Pramstaller and 7 more

Abstract read
In one paragraph

Article in Epidemiology and infection, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

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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

17 authors.

Roberto MelottiInstitute for Biomedicine (affiliated to the University of Lübeck), Eurac Research, Bolzano, Italy.ORCID 0000-0003-4115-317X
Federica ScaggianteLaboratorio di Patologia Clinica di Bressanone, Hospital of Bressanone (SABES-ASDAA), Bressanone-Brixen, Italy.
Michela FalcianiServizio farmaceutico, Hospital of Bolzano (SABES-ASDAA), Bolzano-Bozen, Italy.
Christian X WeichenbergerInstitute for Biomedicine (affiliated to the University of Lübeck), Eurac Research, Bolzano, Italy.
Luisa FocoInstitute for Biomedicine (affiliated to the University of Lübeck), Eurac Research, Bolzano, Italy.
Stefano LombardoIstituto provinciale di Statistica (ASTAT), Amministrazione Provincia Bolzano, Bolzano, Italy.
Alessandro De GrandiInstitute for Biomedicine (affiliated to the University of Lübeck), Eurac Research, Bolzano, Italy.
Dorothee von LaerInstitute of Virology, Department of Hygiene, Microbiology and Public Health at Innsbruck Medical University, Innsbruck, Austria.
Angelika MahlknechtIstituto di Medicina Generale, Scuola Provinciale Superiore di Sanità (Claudiana), Bolzano, Italy.
Peter P PramstallerInstitute for Biomedicine (affiliated to the University of Lübeck), Eurac Research, Bolzano, Italy.
Elisabetta PaganiLaboratorio Aziendale di Microbiologia e Virologia, Hospital of Bolzano (SABES-ASDAA), Bolzano-Bozen, Italy.ORCID 0000-0002-4008-6756
Horand MeierUnità operativa governo clinico, Amministrazione Provincia Bolzano, Bolzano, Italy.
Timon GaertnerIstituto provinciale di Statistica (ASTAT), Amministrazione Provincia Bolzano, Bolzano, Italy.
Christina TroiLaboratorio di Patologia Clinica di Bressanone, Hospital of Bressanone (SABES-ASDAA), Bressanone-Brixen, Italy.
Deborah MascalzoniInstitute for Biomedicine (affiliated to the University of Lübeck), Eurac Research, Bolzano, Italy.
Cristian PattaroInstitute for Biomedicine (affiliated to the University of Lübeck), Eurac Research, Bolzano, Italy.
Michael MianService for Innovation, Research and Teaching, Hospital of Bolzano (SABES-ASDAA), Bolzano-Bozen, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Estimating the spread of SARS-CoV-2 infection in communities is critical. We surveyed 2244 stratified random sample community members of the Gardena valley, a winter touristic area, amidst the first expansion phase of the COVID-19 pandemic in Europe. We measured agreement between Diasorin and Abbott serum bioassay outputs and the Abbott optimal discriminant threshold of serum neutralisation titres with recursive receiver operating characteristic curve. We analytically adjusted serum antibody tests for unbiased seroprevalence estimate and analysed the determinants of infection with non-response weighted multiple logistic regression. SARS-CoV-2 seroprevalence was 26.9% (95% CI 25.2-28.6) by June 2020. The bioassays had a modest agreement with each other. At a lower threshold than the manufacturer's recommended level, the Abbott assay reflected greater discrimination of serum neutralisation capacity. Seropositivity was associated with place and economic activity, not with sex or age. Symptoms like fever and weakness were age-dependent. SARS-CoV-2 mitigation strategies should account for context in high prevalence areas.

Indexed as

Antibodies, NeutralizingAntibodies, ViralCOVID-19COVID-19 Serological TestingFemaleHumansImmunoglobulin GItalyMaleNeutralization TestsPrevalenceRisk FactorsSARS-CoV-2Sensitivity and SpecificitySeroepidemiologic StudiesAntibodies, NeutralizingAntibodies, ViralImmunoglobulin GCoronavirusCOVID-19neutralising antibodiesprevalenceSARS-CoV-2

Identifiers

PMID34645534
PMCPMC8387688

What OpenQuestion holds

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LicenceCC BY
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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.