Evidence map›Paper›PMID 31837268›Full record

ArticleThe Journal of infectious diseases2020

Baloxavir Marboxil Treatment of Nude Mice Infected With Influenza A Virus.

Maki Kiso, Seiya Yamayoshi, Jurika Murakami, Yoshihiro Kawaoka

Open access · greenAbstract read
In one paragraph

Article in The Journal of infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.6field-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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Influenza Polymerase Inhibitors: Mechanisms of Action and Resistance.Cold Spring Harbor perspectives in medicine · 2021
    Review
  8. Article
  9. 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

4 authors at 1 institution in 2 countries.

Maki KisoDivision of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyo, Tokyo, Japan.
Seiya YamayoshiDivision of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyo, Tokyo, Japan.
Jurika MurakamiDivision of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyo, Tokyo, Japan.
Yoshihiro KawaokaDivision of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyo, Tokyo, Japan.
University of Wisconsin–Madison · US

Funding

NIAID NIH HHS HHSN272201400008C
6 · The paper itself

Abstract

backgroundImmunocompromised patients infected with influenza virus require prolonged treatment with neuraminidase inhibitors, because these patients are not able to eradicate the virus from the respiratory tract, leading to the emergence of drug-resistant mutant viruses.

methodsIn this study, we examined the efficacy of baloxavir marboxil in nude mice that were immunologically deficient.

resultsDaily treatment with a suboptimal dose of baloxavir marboxil increased the survival time of the virus-infected nude mice but did not clear the virus from their respiratory organs, resulting in gradual body weight loss after termination of treatment.

conclusionsDespite the prolonged baloxavir marboxil treatment, few resistant mutants were detected.

Indexed as

Influenza A virusAnimalsAntiviral AgentsDibenzothiepinsDose-Response Relationship, DrugMaleMiceMice, NudeMorpholinesOrthomyxoviridae InfectionsPyridonesTriazinesAntiviral AgentsbaloxavirDibenzothiepinsMorpholinesPyridonesTriazinesbaloxavir marboxildrug resistanceimmunocompromisedinfluenza

Identifiers

PMID31837268
PMCPMC7184910
OpenAlexW2994778641

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.