Evidence map›Paper›PMID 36817264›Full record

ArticleCentral-European journal of immunology2022

Could veterinarians be immune to contracting SARS-CoV-2?

Monika Anna Kozłowska-Geller, Piotr Lewitowicz, Aneta Węgierek-Ciuk, Wioletta Adamus Białek, Agnieszka Piechowska, Stanisław Zbigniew Głuszek

Open access · goldAbstract read
In one paragraph

Article in Central-European journal of immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 81% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Monika Anna Kozłowska-GellerJan Kochanowski University of Kielce, Poland.
Piotr LewitowiczJan Kochanowski University of Kielce, Poland.
Aneta Węgierek-CiukJan Kochanowski University of Kielce, Poland.
Wioletta Adamus BiałekJan Kochanowski University of Kielce, Poland.
Agnieszka PiechowskaJan Kochanowski University of Kielce, Poland.
Stanisław Zbigniew GłuszekJan Kochanowski University of Kielce, Poland.
Jan Kochanowski University · PLKielce University of Technology · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The aim of the study was to assess the epidemic situation among veterinarians of the Świętokrzyskie Voivodeship, Poland, in relation to the control group. Material and methods: The research was divided into 3 stages. Stage I involved the selection of subjects. In stage II, flow cytometry for immunophenotyping was performed and the percentage of the sub-population of CD4 cells and CD8 cells was assessed. Stage III involved collection of nasopharyngeal swab samples in order to determine the canine coronavirus CR-CoV mRNA with the rT-PCR method. Results: The percentage of the CD4 and CD8 lymphocyte subpopulation in relation to the total lymphocyte population in veterinarians did not differ statistically from the percentage in the control group. The CD4/CD8 ratio in the group of veterinarians was on average 1.93, and 2.04 in the control group. There was no statistically significant difference between the groups, p = 0.591. Canine CR-CoV mRNA was not detected in any of the veterinarians or in the control group. Conclusions: None of the veterinarians had a significant increase in T lymphocytes, which could be an effective defense against SARS-CoV-2.

Indexed as

canine coronavirusflow cytometryimmunophenotypingSARS-CoV-2veterinarians

Identifiers

PMID36817264
PMCPMC9896990
OpenAlexW4312345361

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.