Evidence map›Paper›PMID 25313213›Full record

Trial reportAntimicrobial agents and chemotherapy2015

Impact of nonlinear interactions of pharmacokinetics and MICs on sputum bacillary kill rates as a marker of sterilizing effect in tuberculosis.

Emmanuel Chigutsa, Jotam G Pasipanodya, Marianne E Visser, Paul D van Helden, Peter J Smith, Frederick A Sirgel, Tawanda Gumbo, Helen McIlleron

3 registry-linked trialsOpen access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Antimicrobial agents and chemotherapy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 104 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
104citing papers in PubMed, 3 pooled it
9.5field-weighted citation impact, top 1% 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.

NCT02816931 completednot on this mapstarted 2016, after this paper: background citation

Plasma Drug Concentrations in the Treatment of Multidrug-resistant Tuberculosis in Relation to Minimum Inhibitory Concentrations - a Prospective Observational Study

TypeobservationalSponsorKarolinska InstitutetRan2016 to 2020Enrolled37ConditionsTuberculosis, Multidrug Resistant
NCT03827811 unknown statusnot on this mapstarted 2020, after this paper: background citation

Pharmacometrics to Advance Novel Regimens for Drug-resistant Tuberculosis

TypeobservationalSponsorUniversity of Cape TownRan2020 to 2023Enrolled625ConditionsMulti-drug Resistant Tuberculosis
NCT04062201 phase3completednot on this mapstarted 2019, after this paper: background citation

An Open Label, Randomized Controlled Trial to Establish the Efficacy and Safety of a Study Strategy Consisting of 6 Months of Bedaquiline (BDQ), Delamanid (DLM), and Linezolid (LNZ), With Levofloxacin (LVX) and Clofazimine (CFZ) Compared to the Current South African Standard of Care (Control Strategy) for 9 Months for the Treatment of Rifampicin Resistant Tuberculosis (RR-TB)

TypeinterventionalSponsorWits Health Consortium (Pty) LtdRan2019 to 2024Enrolled402ConditionsTuberculosis, Pre-XDR-TB, Extensively Drug-Resistant Tuberculosis, Multi Drug Resistant TuberculosisArmsBedaquiline Oral Tablet, Linezolid Oral Tablet, Delamanid in Oral Dosage Form, Clofazimine Oral Product, Levofloxacin Oral Tablet
3 · Its place in the literature

Who cites it

104 citing papers in PubMed, 3 syntheses or guidelines pooled it, 133 citations in OpenAlex.

  1. High dose of rifampicin in the treatment of tuberculous meningitis: a systematic review and meta-analysis of randomized controlled trials.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Pooled it
  2. A systematic review and meta-analysis of first-line tuberculosis drug concentrations and treatment outcomes.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2020
    Pooled it
  3. Pooled it
  4. Effect of HIV on bedaquiline and delamanid pharmacokinetics in patients with multidrug-resistant TB.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2025
    Trial
  5. Trial
  6. Trial
  7. Artificial intelligence-derived 3-Way Concentration-dependent Antagonism of Gatifloxacin, Pyrazinamide, and Rifampicin During Treatment of Pulmonary Tuberculosis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2018
    Trial
  8. Trial
  9. Quality assurance of rifampicin-containing fixed-drug combinations in South Africa: dosing implications.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2018
    Trial
  10. Trial
  11. Trial
  12. Bioavailability of two licensed paediatric rifampicin suspensions: implications for quality control programmes.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2016
    Trial
  13. Trial
  14. Article
  15. Article
  16. Insights into the Role of Rifampicin Exposure and Clinical Baseline Covariates on the Response to Pulmonary Tuberculosis Treatment.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Article
  17. Article
  18. IJTLD open · 2026
    Article
  19. Article
  20. Article

44 more citing papers are in PubMed but not listed here.

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 4 institutions in 2 countries.

Emmanuel ChigutsaDivision of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa.
Jotam G PasipanodyaOffice of Global Health, Department of Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Marianne E VisserSchool of Public Health, University of the Western Cape, Cape Town, South Africa.
Paul D van HeldenDST/NRF Centre of Excellence for Biomedical TB Research/MRC Centre for Molecular and Cellular Biology, Division of Molecular Biology and Human Genetics, Stellenbosch University, Tygerberg, South Africa.
Peter J SmithDivision of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa.
Frederick A SirgelDST/NRF Centre of Excellence for Biomedical TB Research/MRC Centre for Molecular and Cellular Biology, Division of Molecular Biology and Human Genetics, Stellenbosch University, Tygerberg, South Africa.
Tawanda GumboOffice of Global Health, Department of Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Helen McIlleronDivision of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa helen.mcilleron@uct.ac.za.
University of Cape Town · ZAStellenbosch University · ZAThe University of Texas Southwestern Medical Center · USUniversity of the Western Cape · ZA

Funding

PK-PD of combination antituberculosis therapy for suppression of drug-resistanceR01AI079497 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI GUMBO, TAWANDA · 2008 to 2011
$2.3M
NIAID NIH HHS R01 AI079497NIAID NIH HHS R01AI079497Wellcome TrustWellcome Trust 412164
6 · The paper itself

Abstract

The relationships between antituberculosis drug exposure and treatment effects on humans receiving multidrug therapy are complex and nonlinear. In patients on treatment, an analysis of the rate of decline in the sputum bacillary burden reveals two slopes. The first is the α-slope, which is thought to reflect bactericidal effect, followed by a β-slope, which is thought to reflect sterilizing activity. We sought to characterize the effects of standard first-line treatment on sterilizing activity. Fifty-four patients receiving combination therapy for pulmonary tuberculosis in a clinical trial had drug concentrations measured and Mycobacterium tuberculosis isolates available for MIC identification. Sputum sample cultures were performed at baseline and weekly for 8 weeks. A time-to-event model based on the days to positivity in the liquid cultures was used to estimate the β-slope. The pharmacokinetic parameters of rifampin, isoniazid, ethambutol, and pyrazinamide were determined for each patient. Multivariate adaptive regression splines analyses, which simultaneously perform linear and nonlinear analyses, were used to identify the relationships between the predictors and the β-slope. The potential predictors examined included HIV status, lung cavitation, 24-h area under the concentration-time curve (AUC), peak drug concentration (Cmax), AUC/MIC ratio, Cmax/MIC ratio, and the time that that concentration persisted above MIC. A rifampin Cmax of >8.2 mg/liter and a pyrazinamide AUC/MIC of >11.3 were key predictors of the β-slope and interacted positively to increase the β-slope. In patients with a rifampin AUC of <35.4 mg · h/liter, an increase in the pyrazinamide AUC/MIC and/or ethambutol Cmax/MIC increased the β-slope, while increasing isoniazid Cmax decreased it, suggesting isoniazid antagonism. Antibiotic concentrations and MICs interact in a nonlinear fashion as the main drivers of a sterilizing effect. The results suggest that faster speeds of sterilizing effect might be achieved by omitting isoniazid and by increasing rifampin, pyrazinamide, and ethambutol exposures. However, isoniazid and ethambutol exposures may only be of importance when rifampin exposure is low. These findings need confirmation in larger studies. (This study has been registered at controlled-trials.com under registration no. ISRCTN80852505.).

Indexed as

AdolescentAdultAntitubercular AgentsArea Under CurveDisinfectionDrug AntagonismDrug SynergismDrug Therapy, CombinationEthambutolFemaleHIV InfectionsHumansIsoniazidMaleMicrobial Sensitivity TestsMiddle AgedAntitubercular AgentsEthambutolIsoniazidPyrazinamideRifampin

Identifiers

PMID25313213
PMCPMC4291375
OpenAlexW2164438043

What OpenQuestion holds

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Registered trials

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.