Evidence map›Paper›PMID 34871099›Full record

ArticleAntimicrobial agents and chemotherapy2022

Pharmacodynamics and Bactericidal Activity of Bedaquiline in Pulmonary Tuberculosis.

Michael A Lyons

Open access · greenAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Review
  3. FInternational journal of molecular sciences · 2023
    Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Tools to develop antibiotic combinations that target drug tolerance inFrontiers in cellular and infection microbiology · 2022
    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

1 author at 1 institution in 1 country.

Michael A LyonsMycobacteria Research Laboratories, Department of Microbiology, Immunology and Pathology, Colorado State Universitygrid.47894.36, Fort Collins, Colorado, USA.ORCID 0000-0003-0143-6626
Colorado State University · US

Funding

Improving combination chemotherapy of tuberculosis: a computational approachR01AI125454 · NIAID · COLORADO STATE UNIVERSITY · PI LYONS, MICHAEL A. · 2016 to 2020
$2.7M
NIAID NIH HHS R01 AI125454
6 · The paper itself

Abstract

Bedaquiline is a diarylquinoline antimycobacterial drug and a key component of several regimens in clinical development for the treatment of tuberculosis (TB) but with ongoing phase 3 trials that include assessment of simplified dosing. A pharmacokinetic-pharmacodynamic model of bedaquiline Mycobacterium tuberculosis-killing kinetics in adults with pulmonary TB was developed to inform dose selection of bedaquiline-containing regimens. The model parameters were estimated with data from the 14-day early bactericidal activity (EBA) study TMC207-CL001 conducted in Cape Town, South Africa. The study included 60 adult males and females with drug-susceptible pulmonary TB, who were administered bedaquiline with loading doses on the first 2 days followed by once-daily 100 mg, 200 mg, 300 mg, or 400 mg. The modeling results included expected values (means ± standard deviations [SDs]) for a maximum drug kill rate constant equal to 0.23 ± 0.03 log

Indexed as

Mycobacterium tuberculosisTuberculosis, Multidrug-ResistantTuberculosis, PulmonaryAdultAntitubercular AgentsDiarylquinolinesFemaleHumansMaleSouth AfricaAntitubercular AgentsbedaquilineDiarylquinolinesbedaquilineclinical trialdose selectionkilling kineticsmathematical modelpharmacometricstuberculosis regimen

Identifiers

PMID34871099
PMCPMC8846494
OpenAlexW4200075768

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.