Evidence map›Paper›PMID 36851326›Full record

ArticleVaccines2023

Factors Influencing Antibody Response to SARS-CoV-2 Vaccination.

Cathrin Kodde, Sascha Tafelski, Efthimia Balamitsa, Irit Nachtigall, Marzia Bonsignore

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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 18 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

5 authors at 4 institutions in 1 country.

Cathrin KoddeDepartment of Respiratory Diseases "Heckeshorn", Helios Hospital Emil-von-Behring, 14165 Berlin, Germany.
Sascha TafelskiDepartment of Anaesthesiology and Operative Intensive Care Medicine, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany.
Efthimia BalamitsaCenter for Hygiene, Evangelische Kliniken Gelsenkirchen, 45879 Gelsenkirchen, Germany.
Irit NachtigallDivision of Infectious Diseases and Infection Prevention, Helios Hospital Emil-von-Behring, 14165 Berlin, Germany.ORCID 0000-0002-9976-9295
Marzia BonsignoreDepartment of Infectious Diseases and Prevention, Helios Hospitals Duisburg, 47166 Duisburg, Germany.
Helios Klinikum Emil von Behring · DECharité - Universitätsmedizin Berlin · DEEvangelische Kliniken Gelsenkirchen · DEHelios Universitätsklinikum Wuppertal · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vaccination plays a key role in tackling the ongoing SARS-CoV-2 pandemic but data regarding the individual's protective antibody level are still pending. Our aim is to identify factors that influence antibody response following vaccination in healthcare workers. This single-center study was conducted at Evangelische Kliniken Gelsenkirchen, Germany. Healthcare workers were invited to answer a questionnaire about their vaccinations and adverse reactions. Subsequently, the level of anti-receptor binding domain (RBD) IgG antibody against SARS-CoV-2's spike protein through blood samples was measured. For statistics, we used a defined correlation of protection (CoP) and examined risk factors associated with being below the given CoP. A total of 645 employees were included and most were female (n = 481, 77.2%). A total of 94.2% participants had received two doses of vaccines (n = 587) and 12.4% (n = 720) had been infected at least once. Most common prime-boost regimen was BNT162b2 + BNT162b2 (57.9%, n = 361). Age (

Indexed as

COVID-19healthcare workerspublic healthSARS-CoV-2vaccinations

Identifiers

PMID36851326
PMCPMC9967627
OpenAlexW4321094649

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.