Evidence map›Paper›PMID 34307731›Full record

ArticleOpen forum infectious diseases2021

Reduced Mortality With Ondansetron Use in SARS-CoV-2-Infected Inpatients.

Vafa Bayat, Russell Ryono, Steven Phelps, Eugene Geis, Farshid Sedghi, Payam Etminani, Mark Holodniy

Open access · goldAbstract read
In one paragraph

Article in Open forum infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 20% 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, 16 citations in OpenAlex.

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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.

Vafa BayatBitscopic Inc., Palo Alto, California, USA.ORCID https://orcid.org/0000-0002-1524-0520
Russell RyonoBitscopic Inc., Palo Alto, California, USA.ORCID https://orcid.org/0000-0002-3651-0008
Steven PhelpsBitscopic Inc., Palo Alto, California, USA.ORCID https://orcid.org/0000-0003-1883-4137
Eugene GeisBitscopic Inc., Palo Alto, California, USA.ORCID https://orcid.org/0000-0001-6836-4554
Farshid SedghiBitscopic Inc., Palo Alto, California, USA.ORCID https://orcid.org/0000-0002-2538-8406
Payam EtminaniBitscopic Inc., Palo Alto, California, USA.ORCID https://orcid.org/0000-0002-1225-0790
Mark HolodniyPublic Health Surveillance and Research, Department of Veterans Affairs, Washington, DC, USA.ORCID https://orcid.org/0000-0002-6655-7982
Veterans Health Administration · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe coronavirus disease 2019 (COVID-19) pandemic has led to a surge in clinical trials evaluating investigational and approved drugs. Retrospective analysis of drugs taken by COVID-19 inpatients provides key information on drugs associated with better or worse outcomes.

methodsWe conducted a retrospective cohort study of 10 741 patients testing positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection within 3 days of admission to compare risk of 30-day all-cause mortality in patients receiving ondansetron using multivariate Cox proportional hazard models. All-cause mortality, length of hospital stay, adverse events such as ischemic cerebral infarction, and subsequent positive COVID-19 tests were measured.

resultsAdministration of ≥8 mg of ondansetron within 48 hours of admission was correlated with an adjusted hazard ratio for 30-day all-cause mortality of 0.55 (95% CI, 0.42-0.70;

conclusionsIf confirmed by prospective clinical trials, our results suggest that ondansetron, a safe, widely available drug, could be used to decrease morbidity and mortality in at-risk populations.

Indexed as

coronavirusnauseapneumoniaviralvomiting

Identifiers

PMID34307731
PMCPMC8294673
OpenAlexW3185641425

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.