Evidence map›Paper›PMID 33063674›Full record

ReviewAnnals of laboratory medicine2021

Role of Genetic Variants and Gene Expression in the Susceptibility and Severity of COVID-19.

Sarita Choudhary, Karli Sreenivasulu, Prasenjit Mitra, Sanjeev Misra, Praveen Sharma

Abstract readReview
In one paragraph

Review in Annals of laboratory medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 3 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

74 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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14 more citing papers are in PubMed but not listed here.

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.

Sarita ChoudharyDepartment of Biochemistry, All India Institute of Medical Sciences, Jodhpur, India.ORCID https://orcid.org/0000-0001-5168-3305
Karli SreenivasuluDepartment of Biochemistry, All India Institute of Medical Sciences, Jodhpur, India.ORCID https://orcid.org/0000-0001-7983-8313
Prasenjit MitraDepartment of Biochemistry, All India Institute of Medical Sciences, Jodhpur, India.ORCID https://orcid.org/0000-0003-4826-1587
Sanjeev MisraDepartment of Surgical Oncology, All India Institute of Medical Sciences, Jodhpur, India.ORCID https://orcid.org/0000-0002-0641-0946
Praveen SharmaDepartment of Biochemistry, All India Institute of Medical Sciences, Jodhpur, India.ORCID https://orcid.org/0000-0002-8324-737X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since its first report in December 2019, coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has rapidly emerged as a pandemic affecting nearly all countries worldwide. As the COVID-19 pandemic progresses, the need to identify genetic risk factors for susceptibility to this serious illness has emerged. Host genetic factors, along with other risk factors may help determine susceptibility to respiratory tract infections. It is hypothesized that the

Indexed as

Genetic VariationAngiotensin-Converting Enzyme 2BetacoronavirusCoronavirus InfectionsCOVID-19Dipeptidyl Peptidase 4Disease SusceptibilityGene ExpressionHumansPandemicsPeptidyl-Dipeptidase APneumonia, ViralSARS-CoV-2Serine EndopeptidasesSeverity of Illness IndexACE2 protein, humanAngiotensin-Converting Enzyme 2Dipeptidyl Peptidase 4Peptidyl-Dipeptidase ASerine EndopeptidasesTMPRSS2 protein, humanAngiotensin-converting enzyme 2 (ACE2) variantsCOVID-19EpigeneticsSARS-CoV-2 infectionSerine 2 (TMPRSS2)Transmembrane protease

Identifiers

PMID33063674
PMCPMC7591285

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.