Evidence map›Paper›PMID 37897017›Full record

ArticleVaccines2023

Factors Affecting SARS-CoV-2 IgG Production after Vaccination and/or Disease: A Large-Scale Seroprevalence Study.

Tanja Karl, Anja Schuster, Lea Maria Stangassinger, Tanja Stiboller, Janne Cadamuro, Gertie Janneke Oostingh

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 8 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

6 authors at 2 institutions in 1 country.

Tanja KarlDepartment of Health Sciences, Biomedical Sciences, Salzburg University of Applied Sciences, 5412 Puch/Salzburg, Austria.ORCID 0000-0002-0511-9540
Anja SchusterDepartment of Health Sciences, Biomedical Sciences, Salzburg University of Applied Sciences, 5412 Puch/Salzburg, Austria.ORCID 0000-0003-2712-9245
Lea Maria StangassingerDepartment of Health Sciences, Biomedical Sciences, Salzburg University of Applied Sciences, 5412 Puch/Salzburg, Austria.ORCID 0000-0001-7697-6390
Tanja StibollerDepartment of Health Sciences, Biomedical Sciences, Salzburg University of Applied Sciences, 5412 Puch/Salzburg, Austria.
Janne CadamuroDepartment of Laboratory Medicine, Paracelsus Medical University, 5020 Salzburg, Austria.ORCID 0000-0002-6200-9831
Gertie Janneke OostinghDepartment of Health Sciences, Biomedical Sciences, Salzburg University of Applied Sciences, 5412 Puch/Salzburg, Austria.
Fachhochschule Salzburg · ATParacelsus Medical University · AT

Funding

Salzburg University of Applied Sciences 7081_031Salzburg University of Applied Sciences 7081_033
6 · The paper itself

Abstract

This study aimed at identifying factors influencing SARS-CoV-2-specific IgG antibody levels after vaccination and/or infection. Between January 2022 and March 2023, 2000 adults (≥18 years, Salzburg, Austria) participated in this population-based seroprevalence study by providing 3 mL of blood to detect SARS-CoV-2-specific IgG antibodies using an anti-SARS-CoV-2 IgG quantitative assay and by completing a self-designed questionnaire including anthropometric factors, vaccination information, and medical history. For 77 of the participants, a time-course study up to 24 weeks post vaccination or quarantine end was performed. Convalescent-only subjects had the lowest median antibody titer (65.6 BAU/mL) compared to vaccinated and hybrid immunized subjects (

Indexed as

COVID-19influencing factorsSARS-CoV-2-specific antibodiesseroprevalence study

Identifiers

PMID37897017
PMCPMC10611123
OpenAlexW4387774286

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.