Evidence map›Paper›PMID 34252308›Full record

ArticleAntimicrobial agents and chemotherapy2021

Why Remdesivir Failed: Preclinical Assumptions Overestimate the Clinical Efficacy of Remdesivir for COVID-19 and Ebola.

Victoria C Yan, Florian L Muller

Open access · greenAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.0field-weighted citation impact, top 11% 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

25 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. AssessingThe veterinary quarterly · 2024
    Article
  6. Clinical pharmacodynamics of obeldesivir versus remdesivir.Antimicrobial agents and chemotherapy · 2024
    Article
  7. Article
  8. Article
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  11. Article
  12. A new generation MSignal transduction and targeted therapy · 2023
    Article
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  15. Article
  16. Article
  17. Article
  18. Review
  19. Observational
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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

2 authors at 1 institution in 1 country.

Victoria C YanCopycat Sciences, Boston, Massachusetts, USA.ORCID 0000-0003-0837-5184
Florian L MullerSporos Bioventures, Houston, Texas, USA.
BioVentures (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Remdesivir is a nucleoside monophosphoramidate prodrug that has been FDA approved for coronavirus disease 2019 (COVID-19). However, the clinical efficacy of remdesivir for COVID-19 remains contentious, as several trials have not found statistically significant differences in either time to clinical improvement or mortality between remdesivir-treated and control groups. Similarly, the inability of remdesivir to provide a clinically significant benefit above other investigational agents in patients with Ebola contrasts with strong, curative preclinical data generated in rhesus macaque models. For both COVID-19 and Ebola, significant discordance between the robust preclinical data and remdesivir's lackluster clinical performance have left many puzzled. Here, we critically evaluate the assumptions of the models underlying remdesivir's promising preclinical data and show that such assumptions overpredict efficacy and minimize toxicity of remdesivir in humans. Had the limitations of

Indexed as

COVID-19 Drug TreatmentHemorrhagic Fever, EbolaAdenosine MonophosphateAlanineAnimalsAntiviral AgentsHumansMacaca mulattaSARS-CoV-2Treatment OutcomeAdenosine MonophosphateAlanineAntiviral AgentsremdesivirGS-441524GS-5734in vitro modelsin vivo modelsnonhuman primatespharmacokineticsprodrugremdesivir

Identifiers

PMID34252308
PMCPMC8448091
OpenAlexW3177759639

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.