Evidence map›Paper›PMID 40060139›Full record

ArticleArchives of rheumatology2024

The effect of the pandemic on autoantibody rates in the general population.

Mehmet Karabey, Havva Kaya, Alperen Ceylan, Kadir Kaba, Mehmet Özdemir, Bahadır Feyzioğlu

Abstract read
In one paragraph

Article in Archives of rheumatology, 2024. 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
–field-weighted citation impact
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.

  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

6 authors.

Mehmet KarabeyDepartment of Medical Microbiology, Division of Medical Virology, Necmettin Erbakan University Meram Faculty of Medicine, Konya, Türkiye.ORCID 0000-0002-7394-186X
Havva KayaDepartment of Medical Microbiology, Division of Medical Virology, Necmettin Erbakan University Meram Faculty of Medicine, Konya, Türkiye.ORCID 0000-0001-8956-7107
Alperen CeylanDepartment of Medical Microbiology, Necmettin Erbakan University Meram Faculty of Medicine, Konya, Türkiye.ORCID 0000-0003-2039-0707
Kadir KabaDepartment of Medical Biochemistry, Necmettin Erbakan University Meram Faculty of Medicine, Konya, Türkiye.ORCID 0000-0003-0451-9662
Mehmet ÖzdemirDepartment of Medical Microbiology, Division of Medical Virology, Necmettin Erbakan University Meram Faculty of Medicine, Konya, Türkiye.ORCID 0000-0002-9316-771X
Bahadır FeyzioğluDepartment of Medical Microbiology, Division of Medical Virology, Necmettin Erbakan University Meram Faculty of Medicine, Konya, Türkiye.ORCID 0000-0002-0991-2132

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The study aimed to investigate the possible effects of coronavirus disease 2019 (COVID-19) on autoantibodies. Patients and methods: Samples of 89,108 individuals (29,033 males, 60,075 females; median: 36 years; range, 0 to 96 years) who underwent autoimmune testing between January 2017 and May 2022 were retrospectively analyzed. The prepandemic period was defined as May 1, 2017, to March 20, 2020, while the pandemic period was defined as March 20, 2020, to May 31, 2022. Results: Of the participants, 0.55% were of foreign nationality. The positivity rate was 18.12%. Autoantibody positivity rates, when analyzed by sex, were higher in females for antinuclear antibody (ANA), antimitochondrial antibody (AMA), anti-liver kidney microsomal (LKM) antibody, immunoglobulin A (IgA) anti-gliadin antibody, anti-endomysial antibody A, anti-ribosomal P protein antibody, anti-Sjögren's syndrome A (anti-SSA), anti-Sjögren's syndrome B (anti-SSB), anti-Smith/ribonucleoprotein (anti-SM/RNP), anti-SM, and c-ANCA (cytoplasmic antineutrophil cytoplasmic antibody). When the prepandemic period was compared with the pandemic period, AMA, anti-LKM antibody, IgA anti-gliadin antibody, anti-endomysial antibody A, and anti-SM/RNP levels were higher in the prepandemic period, while ANA was higher during the pandemic. Additionally, statistically significant differences were found in the distributions of ANA, AMA, anti-LKM antibody, IgA anti-gliadin antibody, anti-endomysial antibody A, anti-ribosomal P protein antibody, anti-SM, anti-SSA, and c-ANCA across the years. Conclusion: This study could not establish a cause-effect relationship between the changing autoantibody levels during the COVID-19 pandemic and severe acute respiratory syndrome coronavirus 2 infection due to the lack of results from the same patients across different periods. Nonetheless, we believe the quantitative seroprevalence changes in such a large sample of autoantibody screening results over a five-year period, including the pandemic, are valuable.

Indexed as

Antinuclear antibodyautoantibodyCOVID-19indirect fluorescent antibody testSARS CoV-2.

Identifiers

PMID40060139
PMCPMC11883259

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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.