Evidence map›Paper›PMID 37759873›Full record

ArticleBrain sciences2023

Conversion and Obsessive-Phobic Symptoms Predict IL-33 and IL-28A Levels in Individuals Diagnosed with COVID-19.

Kristina Stoyanova, Drozdstoy Stoyanov, Steliyan Petrov, Alexandra Baldzhieva, Martina Bozhkova, Mariana Murdzheva, Teodora Kalfova, Hristina Andreeva, Hristo Taskov, Petar Vassilev and 1 more

Abstract read
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In one paragraph

Article in Brain sciences, 2023. 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. Characterization of an isogenicInfection and immunity · 2026
    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

11 authors.

Kristina StoyanovaResearch Institute at Medical University of Plovdiv, Research Group "Translational and Computational Neuroscience", SRIPD, Medical University of Plovdiv, 4002 Plovdiv, Bulgaria.ORCID 0000-0001-8362-6444
Drozdstoy StoyanovResearch Institute at Medical University of Plovdiv, Research Group "Translational and Computational Neuroscience", SRIPD, Medical University of Plovdiv, 4002 Plovdiv, Bulgaria.ORCID 0000-0002-9975-3680
Steliyan PetrovDepartment of Medical Microbiology and Immunology, Medical University of Plovdiv, 4002 Plovdiv, Bulgaria.
Alexandra BaldzhievaDepartment of Medical Microbiology and Immunology, Medical University of Plovdiv, 4002 Plovdiv, Bulgaria.ORCID 0000-0002-9370-8205
Martina BozhkovaDepartment of Medical Microbiology and Immunology, Medical University of Plovdiv, 4002 Plovdiv, Bulgaria.
Mariana MurdzhevaDepartment of Medical Microbiology and Immunology, Medical University of Plovdiv, 4002 Plovdiv, Bulgaria.ORCID 0000-0002-1357-6717
Teodora KalfovaDepartment of Medical Microbiology and Immunology, Medical University of Plovdiv, 4002 Plovdiv, Bulgaria.
Hristina AndreevaDepartment of Medical Microbiology and Immunology, Medical University of Plovdiv, 4002 Plovdiv, Bulgaria.
Hristo TaskovResearch Institute at Medical University of Plovdiv, 4002 Plovdiv, Bulgaria.
Petar VassilevDepartment of Infectious Disease, Parasitology, and Tropical Medicine, Medical University of Plovdiv, 4002 Plovdiv, Bulgaria.
Angel TodevDepartment of Infectious Disease, Parasitology, and Tropical Medicine, Medical University of Plovdiv, 4002 Plovdiv, Bulgaria.

Funding

The Bulgarian National Science Fund within national project: "COVID-19 HUB - Information, Innovations and Implementation of Integrative Scientific Developments" Contract No. KP-06-DK1/6 from 29/03/2021
6 · The paper itself

Abstract

The first epidemiological wave of the incidence of COVID-19 in Bulgaria was registered in June 2020. After the wave peak, we conducted a study in persons diagnosed with COVID-19 (N = 52). They were assessed with the anxiety-depressive scale (ADS), including basic (BS), vegetative (VS), conversion (CS), obsessive-phobic (OPS), and depressive (DS) symptoms. ADS assessment of individuals diagnosed with SARS-CoV-2 indicated a correlation between OPS and IL-33 values. IL-10 levels were higher than reference ranges in all patients. Multiple linear regression analyses demonstrated that combination of CS and OPS explained 28% of IL-33 levels, while combination of symptoms from all ADS dimensions explained 24% of IL-33 levels. It was also found that 21% of IL-28A levels was explained from the combination by all ADS dimensions, whereas OPS was the predictor for lower concentrations. The obtained results revealed meaningful correlations between psycho neuro-immunological factors in pathogenesis of illness from the coronavirus infection.

Indexed as

anxietydepressionIL-28A and IL-33SARS-CoV-2 infection

Identifiers

PMID37759873
PMCPMC10526257

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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.