Evidence map›Paper›PMID 34520315›Full record

ArticleInfectious diseases (London, England)2022

Seroprevalence and levels of IgG antibodies after COVID-19 infection or vaccination.

Hiie Soeorg, Piia Jõgi, Paul Naaber, Aigar Ottas, Karolin Toompere, Irja Lutsar

Abstract read
In one paragraph

Article in Infectious diseases (London, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

16 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

6 authors.

Hiie SoeorgDepartment of Microbiology, Institute of Biomedicine and Translational Medicine, University of Tartu, Tartu, Estonia.
Piia JõgiChildren's Clinic of Tartu University Hospital, Tartu, Estonia.
Paul NaaberDepartment of Microbiology, Institute of Biomedicine and Translational Medicine, University of Tartu, Tartu, Estonia.
Aigar OttasDepartment of Biochemistry, Institute of Biomedicine and Translational Medicine, University of Tartu, Tartu, Estonia.
Karolin ToompereDepartment of Epidemiology and Biostatistics, Institute of Family Medicine and Public Health, University of Tartu, Tartu, Estonia.
Irja LutsarDepartment of Microbiology, Institute of Biomedicine and Translational Medicine, University of Tartu, Tartu, Estonia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn a country-wide seroprevalence study of COVID-19 in Estonia, we aimed to determine the seroprevalence and the dynamics of IgG against SARS-CoV-2 after vaccination or positive PCR-test.

methodsLeftover blood samples were selected between 8 February and 25 March 2021, by SYNLAB Estonia from all counties and age groups (0-9, 10-19, 20-59, 60-69, 70-79 and 80-100 years) proportionally to the whole Estonian population and tested for IgG against SARS-CoV-2 spike protein receptor-binding domain (anti-S-RBD IgG) using Abbott SARS-CoV-2 IgG II Quant assay. Antibody levels after positive PCR-test or vaccination were described by exponential increase-decrease models.

resultsAccording to total of 2517 samples, overall seroprevalence (95% confidence interval [CI]) was 20.1% (18.5-21.7%), similar in all age groups, but varied between counties. If individuals vaccinated with the first dose at least 14 d before antibody measurement were assumed to be seronegative, the overall seroprevalence was 15.8% (14.4-17.3%), 4.0-fold larger than the proportion of PCR-confirmed COVID-19 cases. Of seropositive individuals (

conclusionsOne year after the start of COVID-19 pandemic the actual prevalence of infection is still underestimated compared with PCR-confirmed COVID-19 cases. Older compared with younger individuals have lower anti-S-RBD IgG level after vaccination, but similar decline rate.

Indexed as

COVID-19AdolescentAdultAgedAged, 80 and overAntibodies, ViralChildChild, PreschoolCOVID-19 VaccinesEstoniaHumansImmunoglobulin GInfantInfant, NewbornMiddle AgedPandemicsAntibodies, ViralCOVID-19 VaccinesImmunoglobulin GSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2AntibodiesCross-sectional studyEstoniamRNA-vaccineSARS-CoV-2 PCR

Identifiers

PMID34520315
PMCPMC8442755

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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.