Evidence map›Paper›PMID 35818892›Full record

SynthesisReviews in medical virology2023

The association of human leucocyte antigen (HLA) alleles with COVID-19 severity: A systematic review and meta-analysis.

Zorana Dobrijević, Nikola Gligorijević, Miloš Šunderić, Ana Penezić, Goran Miljuš, Sergej Tomić, Olgica Nedić

Open access · greenAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Reviews in medical virology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
3.5field-weighted citation impact, top 6% 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Zorana DobrijevićDepartment for Metabolism, University of Belgrade-Institute for the Application of Nuclear Energy, Belgrade, Serbia.ORCID 0000-0002-4652-7719
Nikola GligorijevićDepartment for Metabolism, University of Belgrade-Institute for the Application of Nuclear Energy, Belgrade, Serbia.
Miloš ŠunderićDepartment for Metabolism, University of Belgrade-Institute for the Application of Nuclear Energy, Belgrade, Serbia.
Ana PenezićDepartment for Metabolism, University of Belgrade-Institute for the Application of Nuclear Energy, Belgrade, Serbia.
Goran MiljušDepartment for Metabolism, University of Belgrade-Institute for the Application of Nuclear Energy, Belgrade, Serbia.
Sergej TomićDepartment for Immunology and Immunoparasitology, University of Belgrade-Institute for the Application of Nuclear Energy, Belgrade, Serbia.
Olgica NedićDepartment for Metabolism, University of Belgrade-Institute for the Application of Nuclear Energy, Belgrade, Serbia.
University of Belgrade · RS

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to their pivotal role in orchestrating the immune response, HLA loci were recognized as candidates for genetic association studies related to the severity of COVID-19. Since the findings on the effects of HLA alleles on the outcome of SARS-CoV-2 infection remain inconclusive, we aimed to elucidate the potential involvement of genetic variability within HLA loci in the molecular genetics of COVID-19 by classifying the articles according to different disease severity/outcomes and by conducting a systematic review with meta-analysis. Potentially eligible studies were identified by searching PubMed, Scopus and Web of Science literature databases. A total of 28 studies with 13,073 participants were included in qualitative synthesis, while the results of 19 studies with 10,551 SARS-CoV-2-positive participants were pooled in the meta-analysis. According to the results of quantitative data synthesis, association with COVID-19 severity or with the lethal outcome was determined for the following alleles and allele families: HLA-A*01, HLA-A*03, HLA-A*11, HLA-A*23, HLA-A*31, HLA-A*68, HLA-A*68:02, HLA-B*07:02, HLA-B*14, HLA-B*15, HLA-B*40:02, HLA-B*51:01, HLA-B*53, HLA-B*54, HLA-B*54:01, HLA-C*04, HLA-C*04:01, HLA-C*06, HLA-C*07:02, HLA-DRB1*11, HLA-DRB1*15, HLA-DQB1*03 and HLA-DQB1*06 (assuming either allelic or dominant genetic model). We conclude that alleles of HLA-A, -B, -C, -DRB1 and -DQB1 loci may represent potential biomarkers of COVID-19 severity and/or mortality, which needs to be confirmed in a larger set of studies.

Indexed as

COVID-19HLA-C AntigensAllelesHaplotypesHLA-A AntigensHLA-B AntigensHLA-DRB1 ChainsHumansSARS-CoV-2HLA-A AntigensHLA-B AntigensHLA-C AntigensHLA-DRB1 ChainsCOVID-19HLA-AHLA-BHLA-CHLA-DQB1HLA-DRB1

Identifiers

PMID35818892
PMCPMC9349710
OpenAlexW4285026617

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.