Evidence map›Paper›PMID 33396837›Full record

ArticleGenes2020

Strong Correlation between the Case Fatality Rate of COVID-19 and the rs6598045 Single Nucleotide Polymorphism (SNP) of the Interferon-Induced Transmembrane Protein 3 (

Yong-Chan Kim, Byung-Hoon Jeong

Open access · goldAbstract read
In one paragraph

Article in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 4 pooled it
1.3field-weighted citation impact, top 11% 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

31 citing papers in PubMed, 4 syntheses or guidelines pooled it, 59 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Polymorphisms in theFrontiers in immunology · 2023
    Article
  15. Article
  16. Article
  17. Review
  18. Differential Leukocyte Expression ofJournal of interferon & cytokine research : the official journal of the International Society for Interferon and Cytokine Research · 2022
    Article
  19. Article
  20. 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.

Yong-Chan KimKorea Zoonosis Research Institute, Jeonbuk National University, Iksan 54531, Jeonbuk, Korea.
Byung-Hoon JeongKorea Zoonosis Research Institute, Jeonbuk National University, Iksan 54531, Jeonbuk, Korea.ORCID 0000-0002-4525-9994
Jeonbuk National University · KR

Funding

National Research Foundation (NRF) of Korea 2017R1A6A1A03015876National Research Foundation (NRF) of Korea 2018R1D1A1B07048711
6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) is a fatal pandemic disease that is caused by infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). As of 13 December, 2020, over 70,000,000 cases and 1,500,000 deaths have been reported over a period of several months; however, the mechanism underlying the pathogenesis of COVID-19 has not been elucidated. To identify the novel risk genetic biomarker for COVID-19, we evaluated the correlation between the case fatality rate of COVID-19 and the genetic polymorphisms of several potential COVID-19-related genes, including interferon-induced transmembrane protein 3 (

Indexed as

SARS-CoV-2ABO Blood-Group SystemAngiotensin-Converting Enzyme 2BiomarkersCOVID-19EthnicityGalactosyltransferasesGene FrequencyHumansInterleukin-6Membrane ProteinsPolymorphism, Single NucleotideRNA-Binding ProteinsSerine EndopeptidasesSeverity of Illness IndexTranscription FactorsABO Blood-Group SystemABO protein, humanACE2 protein, humanAngiotensin-Converting Enzyme 2BiomarkersGalactosyltransferasesIFITM3 protein, humanIL6 protein, humanInterleukin-6LZTFL1 protein, humanMembrane ProteinsRNA-Binding ProteinsSerine EndopeptidasesTMPRSS2 protein, humanTranscription FactorsABOACE2case fatality rateCOVID-19IFITM3IL6LZTFL1SARS-CoV-2SNPTMPRSS2

Identifiers

PMID33396837
PMCPMC7824003
OpenAlexW3117795848

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.