Evidence map›Paper›PMID 35755211›Full record

ArticleJournal of clinical virology plus2022

Antibodies against SARS-CoV-2 after natural infection in healthcare workers and clinical characteristics as putative antibody production prediction.

D A T Hanssen, J Penders, K Heijgele, S de Leede, M Mulder, L E A Bank, M H C Slaats, P H M Savelkoul, I H M van Loo

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical virology plus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

9 authors at 1 institution in 1 country.

D A T HanssenDepartment of Medical Microbiology, infectious diseases & Infection prevention, Maastricht University Medical Center, the Netherlands.
J PendersDepartment of Medical Microbiology, infectious diseases & Infection prevention, Maastricht University Medical Center, the Netherlands.
K HeijgeleDepartment of Medical Microbiology, infectious diseases & Infection prevention, Maastricht University Medical Center, the Netherlands.
S de LeedeDepartment of Medical Microbiology, infectious diseases & Infection prevention, Maastricht University Medical Center, the Netherlands.
M MulderDepartment of Medical Microbiology, infectious diseases & Infection prevention, Maastricht University Medical Center, the Netherlands.
L E A BankDepartment of Medical Microbiology, infectious diseases & Infection prevention, Maastricht University Medical Center, the Netherlands.
M H C SlaatsDepartment of Medical Microbiology, infectious diseases & Infection prevention, Maastricht University Medical Center, the Netherlands.
P H M SavelkoulDepartment of Medical Microbiology, infectious diseases & Infection prevention, Maastricht University Medical Center, the Netherlands.
I H M van LooDepartment of Medical Microbiology, infectious diseases & Infection prevention, Maastricht University Medical Center, the Netherlands.
Maastricht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: There is a need for detailed data on early antibody responses against SARS-CoV-2 as this may contribute to the prediction of the clinical course of COVID-19 and the optimization of convalescent plasma treatment. This study aims to gain insight into developing antibodies to SARS-CoV-2 in health care workers (HCWs) infected in the first wave of the SARS-CoV-2 pandemic in the Netherlands. Materials and methods: In this retrospective analysis, sera from PCR-confirmed COVID-19 positive HCWs are included at the time of the initial PCR ( Results: Higher Ct values were associated with higher antibody positivity rates for total Ig (OR 1.261 (95% CI 1.095-1.452)), IgM (OR 1.373 (95% CI 1.125-1.675)), and IgA (OR 1.222 (95% CI 1.013-1.475)). Gender was predictive of IgM and IgA antibody positivity rates at Conclusion: The findings of this study give insight into early antibody responses and may have implications for the selection of convalescent plasma donors and the further development of monoclonal antibody treatment.

Indexed as

Antibody responseECLIAELISASARS-CoV-2Serology

Identifiers

PMID35755211
PMCPMC9213037
OpenAlexW4283163967

What OpenQuestion holds

Textmetadata
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.