Evidence map›Paper›PMID 34722384›Full record

ArticleIranian journal of public health2021

Frequency of HLA Alleles in a Group of Severe COVID-19 Iranian Patients.

Ramin Hamidi Farahani, Emran Esmaeilzadeh, Amir Nezami Asl, Mohammad Foad Heidari, Ebrahim Hazrati

Abstract read
In one paragraph

Article in Iranian journal of public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

5 authors.

Ramin Hamidi FarahaniDepartment of Infectious Diseases, School of Medicine, AJA University of Medical Sciences, Tehran, Iran.
Emran EsmaeilzadehDepartment of Basic Medical Sciences, School of Medicine, AJA University of Medical Sciences, Tehran, Iran.
Amir Nezami AslDepartment of Aerospace Medicine, School of Aerospace and Subaquatic Medicine, AJA University of Medical Sciences, Tehran, Iran.
Mohammad Foad HeidariDepartment of Laboratory Sciences, School of Aerospace and Subaquatic Medicine, AJA University of Medical Sciences, Tehran, Iran.
Ebrahim HazratiDepartment of Critical Care Medicine, School of Allied Medical Sciences, AJA University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHuman Leukocyte Antigen (HLA) system composed of a group of related proteins with important functions in the immune system. Several studies have reported that there is a significant association between specific HLA alleles and the susceptibility to different infectious diseases. This study aimed to detect the specific HLA alleles that cause higher susceptibility to COVID-19, we analyzed the HLA allele frequency distribution in Iranian patients with a severe form of COVID-19.

methodsOverall, 48 severe cases of COVID-19 that were hospitalized and required intensive care unit (ICU) admission between Oct and Dec 2020 were included in this study. Genomic DNA was extracted from the peripheral blood samples and HLA typing (Locus A, B, and DR) was performed for the patients.

resultsAfter analyzing and comparing the results with a reference group of 500 Iranian individuals, a significant association was found for HLA-B*38, HLA-A*68, HLA-A*24, and HLA-DRB1*01.

conclusionThese results may be valuable for studying the potential association of specific HLA alleles with susceptibility to COVID-19 and mortality due to the disease.

Indexed as

COVID-19Human leukocyte antigen (HLA)Iran

Identifiers

PMID34722384
PMCPMC8542815

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