Evidence map›Paper›PMID 37874432›Full record

SynthesisImmunologic research2024

Association study between killer immunoglobulin-like receptor polymorphisms and susceptibility to COVID-19 disease: a systematic review and meta-analysis.

Saeed Hosseini Teshnizi, Sara Mirzazadeh, Niloofar Mashhadi, Seppo Meri, Dieter Kabelitz, Kurosh Kalantar

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Immunologic research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. The Role of Killer Ig-like Receptors in Diseases from A to Z.International journal of molecular sciences · 2025
    Review
  4. 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 at 4 institutions in 3 countries.

Saeed Hosseini TeshniziPromotion Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
Sara MirzazadehDepartment of Immunology, School of Medicine, Shiraz University of Medical Sciences, PO Box: 71345-1798, Shiraz, Iran.
Niloofar MashhadiDepartment of Immunology, School of Medicine, Shiraz University of Medical Sciences, PO Box: 71345-1798, Shiraz, Iran.
Seppo MeriDepartment of Bacteriology and Immunology and the Translational Immunology Research Program (TRIMM), The University of Helsinki and HUSLAB, Helsinki University Hospital, Helsinki, Finland.
Dieter KabelitzInstitute of Immunology, Christian-Albrechts University of Kiel and University Hospital Schleswig, Holstein Campus Kiel, 24105, Kiel, Germany.
Kurosh KalantarDepartment of Immunology, School of Medicine, Shiraz University of Medical Sciences, PO Box: 71345-1798, Shiraz, Iran. Kalantark@sums.ac.ir.ORCID 0000-0002-9160-9449
Shiraz University of Medical Sciences · IRUniversity of Helsinki · FIChristian-Albrechts-Universität zu Kiel · DEHormozgan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a known virus that leads to a respiratory disease called coronavirus disease 19 (COVID-19). Natural killer (NK) cells, as members of innate immunity, possess crucial roles in restricting viral infections, including COVID-19. Their functions and development depend on receiving signals through various receptors, of which killer cell immunoglobulin-like receptors (KIRs) belong to the most effective ones. Different studies investigated the association between KIR gene content and susceptibility to COVID-19. Since previous studies have yielded contradictory results, we designed this meta-analysis study to draw comprehensive conclusions about COVID-19 risk and KIR gene association. According to PRISMA guidelines, a systematic search was performed in the electronic databases to find all studies investigating KIR gene contents in COVID-19 patients before March 2023. Any association between KIR genes and COVID-19 risk was determined by calculating pooled odds ratio (OR) and 95% confidence interval (CI). After applying the inclusion and exclusion criteria, 1673 COVID-19 patients and 1526 healthy controls from eight studies were included in this meta-analysis. As the main results, we observed a positive association between the 2DL3 (OR = 1.48, 95% CI = 1.17-1.88, P < 0.001) and susceptibility to COVID-19 and a negative association between the 2DP1 and the risk for COVID-19 (OR = 0.48, 95% CI = 0.23-0.99, P = 0.049). This meta-analysis demonstrated that KIR2DL3, as a member of iKIRs, might be associated with an increased risk of COVID-19 disease.

Indexed as

COVID-19GenotypeHumansImmunity, InnatePolymorphism, GeneticReceptors, KIRReceptors, KIR2DL3SARS-CoV-2KIR2DL3 protein, humanReceptors, KIRReceptors, KIR2DL3COVID-19KIRNK cellsSARS-CoV-2

Identifiers

PMID37874432
OpenAlexW4387893059

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.