Evidence map›Paper›PMID 34313216›Full record

ArticleeLife2021

Identification of drugs associated with reduced severity of COVID-19 - a case-control study in a large population.

Ariel Israel, Alejandro A Schäffer, Assi Cicurel, Kuoyuan Cheng, Sanju Sinha, Eyal Schiff, Ilan Feldhamer, Ameer Tal, Gil Lavie, Eytan Ruppin

Open access · goldAbstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
2.9field-weighted citation impact, top 7% 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

37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 52 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Vitamin D-A prominent immunomodulator to prevent COVID-19 infection.International journal of rheumatic diseases · 2023
    Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 2 countries.

Ariel IsraelDivision of Planning and Strategy, Clalit Health Services, Tel Aviv, Israel.ORCID 0000-0003-4389-8896
Alejandro A SchäfferCancer Data Science Laboratory, National Cancer Institute, National Institutes of Health, Bethesda, United States.ORCID 0000-0002-2147-8033
Assi CicurelDivision of Planning and Strategy, Clalit Health Services, Tel Aviv, Israel.
Kuoyuan ChengCancer Data Science Laboratory, National Cancer Institute, National Institutes of Health, Bethesda, United States.
Sanju SinhaCancer Data Science Laboratory, National Cancer Institute, National Institutes of Health, Bethesda, United States.
Eyal SchiffSheba Medical Center, Tel-Aviv University, Ramat Gan, Israel.
Ilan FeldhamerDivision of Planning and Strategy, Clalit Health Services, Tel Aviv, Israel.
Ameer TalDivision of Planning and Strategy, Clalit Health Services, Tel Aviv, Israel.
Gil Lavie *Division of Planning and Strategy, Clalit Health Services, Tel Aviv, Israel.
Eytan Ruppin *Cancer Data Science Laboratory, National Cancer Institute, National Institutes of Health, Bethesda, United States.ORCID 0000-0002-7862-3940
National Institutes of Health · USClalit Health Services · ILBen-Gurion University of the Negev · ILTechnion – Israel Institute of Technology · ILTel Aviv University · IL

Funding

Discovering Affective Drug Combinations for Treating Covid-19ZIABC012000 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI RUPPIN, EYTAN · 2020 to 2022
$2.3M
NCI NIH HHS Intramural funding
6 · The paper itself

Abstract

Background: Until coronavirus disease 2019 (COVID-19) drugs specifically developed to treat COVID-19 become more widely accessible, it is crucial to identify whether existing medications have a protective effect against severe disease. Toward this objective, we conducted a large population study in Clalit Health Services (CHS), the largest healthcare provider in Israel, insuring over 4.7 million members. Methods: Two case-control matched cohorts were assembled to assess which medications, acquired in the last month, decreased the risk of COVID-19 hospitalization. Case patients were adults aged 18 to 95 hospitalized for COVID-19. In the first cohort, five control patients, from the general population, were matched to each case (n=6202); in the second cohort, two non-hospitalized SARS-CoV-2 positive control patients were matched to each case (n=6919). The outcome measures for a medication were: odds ratio (OR) for hospitalization, 95% confidence interval (CI), and the p-value, using Fisher's exact test. False discovery rate was used to adjust for multiple testing. Results: Medications associated with most significantly reduced odds for COVID-19 hospitalization include: ubiquinone (OR=0.185, 95% CI [0.058 to 0.458], p<0.001), ezetimibe (OR=0.488, 95% CI [0.377 to 0.622], p<0.001), rosuvastatin (OR=0.673, 95% CI [0.596 to 0.758], p<0.001), flecainide (OR=0.301, 95% CI [0.118 to 0.641], p<0.001), and vitamin D (OR=0.869, 95% CI [0.792 to 0.954], p<0.003). Remarkably, acquisition of artificial tears, eye care wipes, and several ophthalmological products were also associated with decreased risk for hospitalization. Conclusions: Ubiquinone, ezetimibe, and rosuvastatin, all related to the cholesterol synthesis pathway were associated with reduced hospitalization risk. These findings point to a promising protective effect which should be further investigated in controlled, prospective studies. Funding: This research was supported in part by the Intramural Research Program of the National Institutes of Health, NCI.

Indexed as

COVID-19 Drug TreatmentAdolescentAdultAgedAged, 80 and overAntiviral AgentsCase-Control StudiesCohort StudiesCOVID-19EzetimibeFemaleHospitalizationHumansMaleMiddle AgedOdds RatioAntiviral AgentsEzetimibeRosuvastatin CalciumUbiquinoneVitamin Ddisease severityepidemiologyglobal healthhumaninfectious diseasemicrobiologyretrospective studySARS-CoV-2

Identifiers

PMID34313216
PMCPMC8321549
OpenAlexW3183503894

What OpenQuestion holds

Textmetadata
LicenceCC0
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.