Evidence map›Paper›PMID 34367930›Full record

ReviewWorld journal of virology2021

Hypotheses and facts for genetic factors related to severe COVID-19.

Stanislav Vasilev Kotsev, Dimitrina Miteva, Stanislava Krayselska, Martina Shopova, Maria Pishmisheva-Peleva, Spaska Angelova Stanilova, Tsvetelina Velikova

Open access · diamondAbstract readReview
In one paragraph

Review in World journal of virology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Role of OAS gene family in COVID-19 induced heart failure.Journal of translational medicine · 2023
    Article
  4. Article
  5. Article
  6. Predictors of COVID-19 severity among pregnant patients.Bosnian journal of basic medical sciences · 2022
    Article
  7. Article
  8. Article
  9. Review
  10. 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

7 authors at 1 institution in 1 country.

Stanislav Vasilev KotsevDepartment of Infectious Diseases, Pazardzhik Multiprofile Hospital for Active Treatment, Pazardzhik 4400, Bulgaria.
Dimitrina MitevaDepartment of Genetics, Sofia University "St. Kliment Ohridski", Sofia 1000, Bulgaria.
Stanislava KrayselskaPrivate Practice General Praxis, Sofia 1113, Bulgaria.
Martina ShopovaDepartment of Infectious Diseases, Pazardzhik Multiprofile Hospital for Active Treatment, Pazardzhik 4400, Bulgaria.
Maria Pishmisheva-PelevaDepartment of Infectious Diseases, Pazardzhik Multiprofile Hospital for Active Treatment, Pazardzhik 4400, Bulgaria.
Spaska Angelova StanilovaDepartment of Molecular Biology, Immunology and Medical Genetics, Medical Faculty, Trakia University, Stara Zagora 6000, Bulgaria.
Tsvetelina VelikovaDepartment of Clinical Immunology, University Hospital Lozenetz, Sofia 1407, Bulgaria.
Trakia University · BG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide association analysis allows the identification of potential candidate genes involved in the development of severe coronavirus disease 2019 (COVID-19). Hence, it seems that genetics matters here, as well. Nevertheless, the virus's nature, including its RNA structure, determines the rate of mutations leading to new viral strains with all epidemiological and clinical consequences. Given these observations, we herein comment on the current hypotheses about the possible role of the genes in association with COVID-19 severity. We discuss some of the major candidate genes that have been identified as potential genetic factors associated with the COVID-19 severity and infection susceptibility:

Indexed as

ACE2ApoECCR2DPP9Genome-wide association studiesIFNAR2OASSARS-CoV-2Severe COVID-19TLR7TYK2

Identifiers

PMID34367930
PMCPMC8316875
OpenAlexW3186264457

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.