Evidence map›Paper›PMID 33540576›Full record

ArticleViruses2021

Genomic Signatures of SARS-CoV-2 Associated with Patient Mortality.

Eric Dumonteil, Dahlene Fusco, Arnaud Drouin, Claudia Herrera

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Viruses, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Coronavirus infection: An immunologists' perspective.Scandinavian journal of immunology · 2021
    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

4 authors at 1 institution in 1 country.

Eric DumonteilDepartment of Tropical Medicine, Vector-Borne and Infectious Disease Research Center, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112, USA.ORCID 0000-0001-9376-0209
Dahlene FuscoDepartment of Tropical Medicine, Vector-Borne and Infectious Disease Research Center, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112, USA.
Arnaud DrouinDepartment of Medicine, School of Medicine, Tulane University, New Orleans, LA 70112, USA.ORCID 0000-0003-0828-1241
Claudia HerreraDepartment of Tropical Medicine, Vector-Borne and Infectious Disease Research Center, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112, USA.ORCID 0000-0002-9009-4201
Tulane University · US

Funding

Tulane University Department of Tropical Medicine Startup packageTulane University Pilot ProgramTulane University Startup Package and Physician Scientist Pipeline Program
6 · The paper itself

Abstract

Infections with SARS-CoV-2 can progress toward multiple clinical outcomes, and the identification of factors associated with disease severity would represent a major advance to guide care and improve prognosis. We tested for associations between SARS-CoV-2 genomic variants from an international cohort of 2508 patients and mortality rates. Findings were validated in a second cohort. Phylogenetic analysis of SARS-CoV-2 genome sequences revealed four well-resolved clades which had significantly different mortality rates, even after adjusting for patient demographic and geographic characteristics. We further identified ten single-nucleotide polymorphisms (SNPs) in the SARS-CoV-2 genome that were associated with patient mortality. Three SNPs remained associated with mortality in a generalized linear model (GLM) that also included patient age, sex, geographic region, and month of sample collection. Multiple SNPs were confirmed in the validation cohort. These SNPs represent targets to assess the mechanisms underlying COVID-19 disease severity and warrant straightforward validation in functional studies.

Indexed as

Genome, ViralPolymorphism, Single NucleotideAdultAgedAged, 80 and overAge DistributionCohort StudiesCOVID-19FemaleHumansMaleMiddle AgedPhylogenySARS-CoV-2coronavirusCOVID-19genomepathogenesisSNP

Identifiers

PMID33540576
PMCPMC7912856
OpenAlexW3126812978

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.