Evidence map›Paper›PMID 35100870›Full record

ArticlemBio2021

Co-administration of Favipiravir and the Remdesivir Metabolite GS-441524 Effectively Reduces SARS-CoV-2 Replication in the Lungs of the Syrian Hamster Model.

Shiho Chiba, Maki Kiso, Noriko Nakajima, Shun Iida, Tadashi Maemura, Makoto Kuroda, Yuko Sato, Mutsumi Ito, Moe Okuda, Shinya Yamada and 8 more

Open access · goldAbstract read
In one paragraph

Article in mBio, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
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

17 citing papers in PubMed, 31 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

18 authors at 4 institutions in 2 countries.

Shiho Chiba *Influenza Research Institute, Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Wisconsin, USA.
Maki Kiso *Division of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyogrid.26999.3d, Tokyo, Japan.
Noriko NakajimaDepartment of Pathology, National Institute of Infectious Diseases, Tokyo, Japan.
Shun IidaDepartment of Pathology, National Institute of Infectious Diseases, Tokyo, Japan.ORCID 0000-0003-2258-9031
Tadashi MaemuraDivision of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyogrid.26999.3d, Tokyo, Japan.
Makoto KurodaInfluenza Research Institute, Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Wisconsin, USA.
Yuko SatoDepartment of Pathology, National Institute of Infectious Diseases, Tokyo, Japan.
Mutsumi ItoDivision of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyogrid.26999.3d, Tokyo, Japan.
Moe OkudaDivision of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyogrid.26999.3d, Tokyo, Japan.
Shinya YamadaDivision of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyogrid.26999.3d, Tokyo, Japan.
Kiyoko Iwatsuki-HorimotoDivision of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyogrid.26999.3d, Tokyo, Japan.ORCID 0000-0002-8266-020X
Tokiko WatanabeDepartment of Molecular Virology, Research Institute for Microbial Diseases, Osaka University, Osaka, Japan.
Masaki ImaiDivision of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyogrid.26999.3d, Tokyo, Japan.
Tammy ArmbrustInfluenza Research Institute, Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Wisconsin, USA.
Ralph S BaricDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hillgrid.10698.36, Chapel Hill, North Carolina, USA.ORCID 0000-0001-6827-8701
Peter J HalfmannInfluenza Research Institute, Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Wisconsin, USA.
Tadaki SuzukiDepartment of Pathology, National Institute of Infectious Diseases, Tokyo, Japan.
Yoshihiro KawaokaInfluenza Research Institute, Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Wisconsin, USA.ORCID 0000-0001-5061-8296
University of Wisconsin–Madison · USNational Institute of Infectious Diseases · JPThe University of Osaka · JPUniversity of North Carolina at Chapel Hill · US

Funding

Determinants of Coronavirus Fidelity in Replication and PathogenesisR01AI108197 · NIAID · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BARIC, RALPH S, DENISON, MARK R · 2013 to 2022
$6.5M
NIAID NIH HHS HHSN272201400008CNIAID NIH HHS R01 AI108197
6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has spread worldwide since December 2019, causing coronavirus disease 2019 (COVID-19). Although vaccines for this virus have been developed rapidly, repurposing drugs approved to treat other diseases remains an invaluable treatment strategy. Here, we evaluated the inhibitory effects of drugs on SARS-CoV-2 replication in a hamster infection model and in

Indexed as

COVID-19SARS-CoV-2AdenosineAdenosine MonophosphateAlanineAmidesAnimalsAntiviral AgentsCOVID-19 Drug TreatmentCricetinaeLungMesocricetusPyrazinesAdenosineAdenosine MonophosphateAlanineAmidesAntiviral AgentsfavipiravirGS-441524PyrazinesremdesivirfavipiravirGS-441524remdesivirSARS-CoV-2Syrian hamster

Identifiers

PMID35100870
PMCPMC8805032
OpenAlexW4210617276

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.