Evidence map›Paper›PMID 33622890›Full record

ArticleIn vivo (Athens, Greece)

Homozygosity for rs17775810 Minor Allele Associated With Reduced Mortality of COVID-19 in the UK Biobank Cohort.

Steven Lehrer, Peter H Rheinstein

Open access · diamondAbstract read
In one paragraph

Article in In vivo (Athens, Greece). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
0.8field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Review
  6. Review
  7. Review
  8. 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

2 authors at 1 institution in 1 country.

Steven LehrerDepartment of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, U.S.A.; steven.lehrer@mssm.edu.
Peter H RheinsteinSevern Health Solutions, Severna Park, MD, U.S.A.
Icahn School of Medicine at Mount Sinai · US

Funding

Big Omics Data Engine 2 SupercomputerS10OD026880 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2019 to 2019
$2.0M
NIH HHS S10 OD026880
6 · The paper itself

Abstract

BACKGROUND/

aimAdult outpatients with symptomatic COVID-19 treated with fluvoxamine, compared with placebo, had a lower likelihood of clinical deterioration over 15 days. Fluvoxamine strongly binds to the sigma-1 receptor (S1R) that regulates inflammation by inhibiting the production of cytokines, believed to be responsible for severe COVID-19. We evaluated the S1R locus on chr 9p13.3 in subjects tested positive for SARS-CoV-2. We focused on SNP rs17775810 that has been previously identified by examining loss-of-function mutations in the S1R gene associated with distal hereditary motor neuropathy. PATIENTS AND

methodsWe utilized UK Biobank (UKB) data. Data processing was performed on Minerva, a Linux mainframe with Centos 7.6, at the Icahn School of Medicine at Mount Sinai.

resultsThe effect of rs17775810 genotype on survival was significant (p=0.036, 2 tailed Fisher exact test). The minor allele homozygotes (TT) had the lowest death rate (0%), whereas the non-TT genotypes (i.e. CT and CC) had the highest death rate (16.2%).

conclusionThe rs17775810 analysis corroborates the favorable effect of fluvoxamine on COVID-19 survival.

Indexed as

Polymorphism, Single NucleotideAllelesAnti-Anxiety AgentsBiological Specimen BanksCohort StudiesCOVID-19COVID-19 Drug TreatmentFemaleFluvoxamineGenotypeHomozygoteHumansMaleMiddle AgedReceptors, sigmaSARS-CoV-2Anti-Anxiety AgentsFluvoxamineReceptors, sigmaSigma-1 ReceptoralleleCOVID-19fluvoxaminemotor neuropathyS1r

Identifiers

PMID33622890
PMCPMC8045077
OpenAlexW3130447723

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.