Evidence map›Paper›PMID 30936097›Full record

ArticleAntimicrobial agents and chemotherapy2019

Treatment-Shortening Effect of a Novel Regimen Combining Clofazimine and High-Dose Rifapentine in Pathologically Distinct Mouse Models of Tuberculosis.

Vikram Saini, Nicole C Ammerman, Yong Seok Chang, Rokeya Tasneen, Richard E Chaisson, Sanjay Jain, Eric Nuermberger, Jacques H Grosset

Open access · bronzeAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. REVOLUTIONIZING TUBERCULOSIS REGIMEN DEVELOPMENT.Transactions of the American Clinical and Climatological Association · 2025
    Review
  6. Why do we use 100 mg of clofazimine in TB and NTM treatment?The Journal of antimicrobial chemotherapy · 2024
    Review
  7. Article
  8. Eradication of Drug-TolerantMicroorganisms · 2023
    Review
  9. Article
  10. Clofazimine for the treatment of tuberculosis.Frontiers in pharmacology · 2023
    Review
  11. New and Repurposed Drugs for the Treatment of Active Tuberculosis: An Update for Clinicians.Respiration; international review of thoracic diseases · 2023
    Review
  12. Review
  13. Article
  14. Article
  15. The pipeline of new molecules and regimens against drug-resistant tuberculosis.Journal of clinical tuberculosis and other mycobacterial diseases · 2021
    Review
  16. Article
  17. Review
  18. Article
  19. One Size Fits All? Not inFrontiers in cellular and infection microbiology · 2021
    Review
  20. 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

8 authors at 1 institution in 1 country.

Vikram Saini *Center for Tuberculosis Research, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Nicole C Ammerman *Center for Tuberculosis Research, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0001-9359-9144
Yong Seok ChangCenter for Tuberculosis Research, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Rokeya TasneenCenter for Tuberculosis Research, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Richard E ChaissonCenter for Tuberculosis Research, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Sanjay JainCenter for Tuberculosis Research, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA sjain5@jhmi.edu enuermb@jhmi.edu.
Eric NuermbergerCenter for Tuberculosis Research, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA sjain5@jhmi.edu enuermb@jhmi.edu.
Jacques H GrossetCenter for Tuberculosis Research, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Johns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clofazimine and high-dose rifapentine have each separately been associated with treatment-shortening activity when incorporated into tuberculosis (TB) treatment regimens. We hypothesized that both modifications, i.e., the addition of clofazimine and the replacement of rifampin with high-dose rifapentine, in the first-line regimen for drug-susceptible TB would significantly shorten the duration of treatment necessary for cure. We tested this hypothesis in a well-established BALB/c mouse model of TB chemotherapy and also in a C3HeB/FeJ mouse model in which mice can develop caseous necrotic lesions, an environment where rifapentine and clofazimine may individually be less effective. In both mouse models, replacing rifampin with high-dose rifapentine and adding clofazimine in the first-line regimen resulted in greater bactericidal and sterilizing activity than either modification alone, suggesting that a rifapentine- and clofazimine-containing regimen may have the potential to significantly shorten the treatment duration for drug-susceptible TB. These data provide preclinical evidence supporting the evaluation of regimens combining high-dose rifapentine and clofazimine in clinical trials.

Indexed as

AnimalsAntibiotics, AntitubercularAntitubercular AgentsClofazimineDisease Models, AnimalDrug Administration ScheduleDrug Therapy, CombinationMiceMice, Inbred BALB CMice, Inbred C3HRifampinTuberculosisAntibiotics, AntitubercularAntitubercular AgentsClofazimineRifampinrifapentineBALB/c miceC3HeB/FeJ miceclofaziminemouse modelsrifapentinetuberculosis

Identifiers

PMID30936097
PMCPMC6535519
OpenAlexW2945870974

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.