Evidence map›Paper›PMID 34081354›Full record

ArticleJournal of medical virology2021

Correlation between interleukin gene polymorphisms and current prevalence and mortality rates due to novel coronavirus disease 2019 (COVID-2019) in 23 countries.

Lutfiye Karcioglu Batur, Nezih Hekim

Open access · bronzeAbstract read
In one paragraph

Article in Journal of medical virology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
3.1field-weighted citation impact, top 7% 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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 56 citations in OpenAlex.

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  18. Association ofFrontiers in neuroscience · 2023
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  20. A comparison between SARS-CoV-1 and SARS-CoV2: an update on current COVID-19 vaccines.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2022
    Review
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

2 authors at 1 institution in 1 country.

Lutfiye Karcioglu BaturDepartment of Molecular Biology and Genetics, Faculty of Engineering and Natural Sciences, Biruni University, Istanbul, Turkey.ORCID http://orcid.org/0000-0002-4803-9137
Nezih HekimDepartment of Molecular Biology and Genetics, Faculty of Engineering and Natural Sciences, Biruni University, Istanbul, Turkey.
Biruni University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe novel coronavirus disease 2019 (COVID-19) infection may rely on a potential genetic background for the variations in the inflammatory response. We aimed to investigate the possible correlation between polymorphisms in the IL-6 gene at rs1800796/rs1800795, in IL-6R at rs2228145, in IL-10 at rs1800896 and rs1800871, in IL-17 at rs2275913 and rs763780 loci, and COVID-19 prevalence and mortality rates among populations of 23 countries.

methodsWe searched the literature for polymorphisms in China, Japan, India, Spain, Mexico, Sweden, Turkey, Brazil, Russia, Poland, Italy, South Africa, Netherlands, Greece, Germany, UK, Iran, Finland, Czechia, Tunisia, Norway, Egypt, Croatia. We recorded the prevalence and mortality rates (per million) caused by the Coronavirus infection recorded on 7th September 2020 and 6th December 2020.

resultsThere was a significant positive correlation between the frequency of AG genotype of rs1800896 and prevalence recorded on 6th December 2020 (r: 0.53, r

conclusionThe variations in prevalence of COVID-19 and its mortality rates among countries may be explained by the polymorphisms at rs1800896 in IL-10, rs2275913 in IL-17A, and rs763780 loci in the IL-17F gene.

Indexed as

COVID-19Genetic Association StudiesGenotypeHumansInterleukin-10Interleukin-17Interleukin-6InterleukinsPolymorphism, Single NucleotidePrevalenceReceptors, Interleukin-6SARS-CoV-2IL10 protein, humanIL17A protein, humanIL17F protein, humanIL6 protein, humanIL6R protein, humanInterleukin-10Interleukin-17Interleukin-6InterleukinsReceptors, Interleukin-6coronavirus disease 2019correlationinterleukinpolymorphism

Identifiers

PMID34081354
PMCPMC8242628
OpenAlexW3165784290

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.