Evidence map›Paper›PMID 32198838›Full record

ReviewCPT: pharmacometrics & systems pharmacology2020

Modeling Favipiravir Antiviral Efficacy Against Emerging Viruses: From Animal Studies to Clinical Trials.

Vincent Madelain, France Mentré, Sylvain Baize, Xavier Anglaret, Cédric Laouénan, Lisa Oestereich, Thi Huyen Tram Nguyen, Denis Malvy, Géraldine Piorkowski, Frederik Graw and 4 more

Open access · goldAbstract readReview
In one paragraph

Review in CPT: pharmacometrics & systems pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.8field-weighted citation impact, top 16% 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

16 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
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  8. Review
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  10. Review
  11. Case report: Novel treatment regimen forFrontiers in immunology · 2022
    Article
  12. Article
  13. Disease-drug and drug-drug interaction in COVID-19: Risk and assessment.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2021
    Review
  14. Article
  15. Modeling SARS-CoV-2 viral kinetics and association with mortality in hospitalized patients from the French COVID cohort.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  16. Review
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

14 authors at 8 institutions in 3 countries.

Vincent MadelainUniversité de Paris, IAME, INSERM, Paris, France.
France MentréUniversité de Paris, IAME, INSERM, Paris, France.
Sylvain BaizeUBIVE, Institut Pasteur, Centre International de Recherche en Infectiologie, Lyon, France.
Xavier AnglaretINSERM, UMR 1219, Université de Bordeaux, Bordeaux, France.
Cédric LaouénanUniversité de Paris, IAME, INSERM, Paris, France.
Lisa OestereichBernhard-Nocht-Institute for Tropical Medicine, Hamburg, Germany.
Thi Huyen Tram NguyenUniversité de Paris, IAME, INSERM, Paris, France.
Denis MalvyINSERM, UMR 1219, Université de Bordeaux, Bordeaux, France.
Géraldine PiorkowskiUMR "Emergence des Pathologies Virales" (EPV: Aix-Marseille University - IRD 190 - Inserm 1207 - EHESP) - Institut Hospitalo-Universitaire Méditerranée Infection, Marseille, France.
Frederik GrawCenter for Modeling and Simulation in the Biosciences (BIOMS), BioQuant-Center, Heidelberg University, Heidelberg, Germany.
Stephan GüntherBernhard-Nocht-Institute for Tropical Medicine, Hamburg, Germany.
Hervé RaoulLaboratoire P4 Inserm-Jean Mérieux, US003 Inserm, Lyon, France.
Xavier de LamballerieUMR "Emergence des Pathologies Virales" (EPV: Aix-Marseille University - IRD 190 - Inserm 1207 - EHESP) - Institut Hospitalo-Universitaire Méditerranée Infection, Marseille, France.
Jérémie GuedjUniversité de Paris, IAME, INSERM, Paris, France.
Inserm · FRBernhard Nocht Institute for Tropical Medicine · DEUniversité Paris Cité · FRHeidelberg University · DEInstitut de Recherche pour le Développement · FRInstitut Pasteur · FRLe Laboratoire P4 Inserm Jean Mérieux · FRUniversité de Bordeaux · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 2014, our research network was involved in the evaluation of favipiravir, an anti-influenza polymerase inhibitor, against Ebola virus. In this review, we discuss how mathematical modeling was used, first to propose a relevant dosing regimen in humans, and then to optimize its antiviral efficacy in a nonhuman primate (NHP) model. The data collected in NHPs were finally used to develop a model of Ebola pathogenesis integrating the interactions among the virus, the innate and adaptive immune response, and the action of favipiravir. We conclude the review of this work by discussing how these results are of relevance for future human studies in the context of Ebola virus, but also for other emerging viral diseases for which no therapeutics are available.

Indexed as

AmidesAnimalsAntiviral AgentsClinical Trials as TopicDisease Models, AnimalDose-Response Relationship, DrugHemorrhagic Fever, EbolaHumansModels, TheoreticalPyrazinesAmidesAntiviral AgentsfavipiravirPyrazines

Identifiers

PMID32198838
PMCPMC7239338
OpenAlexW3011045910

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.