Evidence map›Paper›PMID 34939891›Full record

ArticleAmerican journal of respiratory and critical care medicine2022

Efficacy of Long-Acting Bedaquiline Regimens in a Mouse Model of Tuberculosis Preventive Therapy.

Amit Kaushik, Nicole C Ammerman, Rokeya Tasneen, Sophie Lachau-Durand, Koen Andries, Eric Nuermberger

Abstract read
PubMed Publisher
In one paragraph

Article in American journal of respiratory and critical care medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

18 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Tuberculosis: So much accomplished and so much more to be done.The Indian journal of medical research · 2026
    Article
  4. Preventing Multidrug-Resistant Tuberculosis: The Dawn of a New Era.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Tuberculosis Preventive Treatment.Indian journal of pediatrics · 2024
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Potential Impact of Long-Acting Products on the Control of Tuberculosis: Preclinical Advancements and Translational Tools in Preventive Treatment.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022
    Article
  17. Review
  18. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Amit KaushikCenter for Tuberculosis Research, Johns Hopkins University School of Medicine, Baltimore, Maryland; and.ORCID 0000-0002-5622-1721
Nicole C AmmermanCenter for Tuberculosis Research, Johns Hopkins University School of Medicine, Baltimore, Maryland; and.ORCID 0000-0001-9359-9144
Rokeya TasneenCenter for Tuberculosis Research, Johns Hopkins University School of Medicine, Baltimore, Maryland; and.
Sophie Lachau-DurandJanssen R&D, Beerse, Belgium.
Koen AndriesJanssen R&D, Beerse, Belgium.
Eric NuermbergerCenter for Tuberculosis Research, Johns Hopkins University School of Medicine, Baltimore, Maryland; and.ORCID 0000-0003-1440-9889
Johns Hopkins University · USJanssen (Belgium) · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Mycobacterium tuberculosisTuberculosisAnimalsAntitubercular AgentsDiarylquinolinesDisease Models, AnimalDrug Administration ScheduleDrug Therapy, CombinationHumansMiceAntitubercular AgentsbedaquilineDiarylquinolinesantitubercular agentsdiarylquinolineslatent tuberculosismicepharmacokinetics

Identifiers

PMID34939891
OpenAlexW4200151401

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.