Evidence map›Paper›PMID 32916958›Full record

ArticleViruses2020

Coronavirus Antiviral Research Database (CoV-RDB): An Online Database Designed to Facilitate Comparisons between Candidate Anti-Coronavirus Compounds.

Philip L Tzou, Kaiming Tao, Janin Nouhin, Soo-Yon Rhee, Benjamin D Hu, Shruti Pai, Neil Parkin, Robert W Shafer

Abstract read
In one paragraph

Article in Viruses, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
–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

42 citing papers in PubMed.

  1. Inhaled ciclesonide for outpatient treatment of COVID-19 in adults at risk of adverse outcomes: a randomised controlled trial (COVERAGE).Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2022
    Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Coronavirus Immunotherapeutic Consortium Database.Database : the journal of biological databases and curation · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Impact of SARS-CoV-2 omicron BA.1 and delta AY.4.2 variants on the neutralization by sera of patients treated with different authorized monoclonal antibodies.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2022
    Article
  18. Review
  19. SARS-CoV-2 Virology.Infectious disease clinics of North America · 2022
    Review
  20. 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

8 authors.

Philip L TzouDivision of Infectious Diseases, Stanford University School of Medicine, Stanford, CA 94305, USA.ORCID 0000-0002-2876-1552
Kaiming TaoDivision of Infectious Diseases, Stanford University School of Medicine, Stanford, CA 94305, USA.
Janin NouhinDivision of Infectious Diseases, Stanford University School of Medicine, Stanford, CA 94305, USA.ORCID 0000-0003-4985-8377
Soo-Yon RheeDivision of Infectious Diseases, Stanford University School of Medicine, Stanford, CA 94305, USA.
Benjamin D HuUndergraduate School of Humanities and Sciences, Stanford University, Stanford, CA 94305, USA.
Shruti PaiUndergraduate Studies, University of California, Berkeley, CA 94720, USA.
Neil ParkinData First Consulting Inc., Sebastopol, CA 95472, USA.ORCID 0000-0001-5824-3388
Robert W ShaferDivision of Infectious Diseases, Stanford University School of Medicine, Stanford, CA 94305, USA.ORCID 0000-0003-2513-2643

Funding

HIV Drug Resistance DatabaseR24AI136618 · NIAID · STANFORD UNIVERSITY · PI ROBERT William SHAFER · 2018 to 2026
$7.3M
NIAID NIH HHS R24 AI136618
6 · The paper itself

Abstract

backgroundTo prioritize the development of antiviral compounds, it is necessary to compare their relative preclinical activity and clinical efficacy.

methodsWe reviewed in vitro, animal model, and clinical studies of candidate anti-coronavirus compounds and placed extracted data in an online relational database.

resultsAs of August 2020, the Coronavirus Antiviral Research Database (CoV-RDB; covdb.stanford.edu) contained over 2800 cell culture, entry assay, and biochemical experiments, 259 animal model studies, and 73 clinical studies from over 400 published papers. SARS-CoV-2, SARS-CoV, and MERS-CoV account for 85% of the data. Approximately 75% of experiments involved compounds with known or likely mechanisms of action, including monoclonal antibodies and receptor binding inhibitors (21%), viral protease inhibitors (17%), miscellaneous host-acting inhibitors (10%), polymerase inhibitors (9%), interferons (7%), fusion inhibitors (5%), and host protease inhibitors (5%). Of 975 compounds with known or likely mechanism, 135 (14%) are licensed in the U.S. for other indications, 197 (20%) are licensed outside the U.S. or are in human trials, and 595 (61%) are pre-clinical investigational compounds.

conclusionCoV-RDB facilitates comparisons between different candidate antiviral compounds, thereby helping scientists, clinical investigators, public health officials, and funding agencies prioritize the most promising compounds and repurposed drugs for further development.

Indexed as

Databases, FactualAnimalsAntiviral AgentsBetacoronavirusCells, CulturedClinical Trials as TopicCoronavirusCoronavirus InfectionsCOVID-19COVID-19 Drug TreatmentDrug Evaluation, PreclinicalHumansMammalsModels, AnimalPandemicsPneumonia, ViralAntiviral Agentsantiviral therapycoronavirusCOVID-19MERS-CoVSARS-CoVSARS-CoV-2

Identifiers

PMID32916958
PMCPMC7551675

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.