Evidence map›Paper›PMID 27305904›Full record

ReviewEuropean journal of clinical pharmacology2016

Optimizing treatment outcome of first-line anti-tuberculosis drugs: the role of therapeutic drug monitoring.

Roger K Verbeeck, Gunar Günther, Dan Kibuule, Christian Hunter, Tim W Rennie

Abstract readReview
PubMed Publisher
In one paragraph

Review in European journal of clinical pharmacology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. Review
  6. Structure of a Cyclic Peptide as an Inhibitor ofPharmaceuticals (Basel, Switzerland) · 2024
    Article
  7. Therapeutic drug monitoring in tuberculosis.European journal of clinical pharmacology · 2024
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Therapeutic drug monitoring and TB treatment outcomes in patients with diabetes mellitus.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

5 authors.

Roger K VerbeeckFaculty of Health Sciences, University of Namibia, Windhoek, Namibia. rverbeeck@unam.na.
Gunar GüntherKatutura State Hospital, Windhoek, Namibia.
Dan KibuuleFaculty of Health Sciences, University of Namibia, Windhoek, Namibia.
Christian HunterFaculty of Health Sciences, University of Namibia, Windhoek, Namibia.
Tim W RennieFaculty of Health Sciences, University of Namibia, Windhoek, Namibia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTuberculosis (TB) remains one of the world's deadliest communicable diseases. Although cure rates of the standard four-drug (rifampicin, isoniazid, pyrazinamide, ethambutol) treatment schedule can be as high as 95-98 % under clinical trial conditions, success rates may be much lower in less well resourced countries. Unsuccessful treatment with these first-line anti-TB drugs may lead to the development of multidrug resistant and extensively drug resistant TB. The intrinsic interindividual variability in the pharmacokinetics (PK) of the first-line anti-TB drugs is further exacerbated by co-morbidities such as HIV infection and diabetes.

methodsTherapeutic drug monitoring has been proposed in an attempt to optimize treatment outcome and reduce the development of drug resistance. Several studies have shown that maximum plasma concentrations (C max), especially of rifampicin and isoniazid, are well below the proposed target C max concentrations in a substantial fraction of patients being treated with the standard four-drug treatment schedule, even though treatment's success rate in these studies was typically at least 85 %. DISCUSSION: The proposed target C max concentrations are based on the concentrations of these agents achieved in healthy volunteers and patients receiving the standard doses. Estimation of C max based on one or two sampling times may not have the necessary accuracy since absorption rate, especially for rifampicin, may be highly variable. In addition, minimum inhibitory concentration (MIC) variability should be taken into account to set clinically meaningful susceptibility breakpoints. Clearly, there is a need to better define the key target PK and pharmacodynamic (PD) parameters for therapeutic drug monitoring (TDM) of the first-line anti-TB drugs to be efficacious, C max (or area under the curve (AUC)) and C max/MIC (or AUC/MIC).

conclusionAlthough TDM of first-line anti-TB drugs has been successfully used in a limited number of specialized centers to improve treatment outcome in slow responders, a better characterization of the target PK and/or PK/PD parameters is in our opinion necessary to make it cost-effective.

Indexed as

Drug MonitoringAntitubercular AgentsEthambutolHumansIsoniazidMicrobial Sensitivity TestsMycobacterium tuberculosisPyrazinamideRifampinTreatment OutcomeTuberculosisAntitubercular AgentsEthambutolIsoniazidPyrazinamideRifampinAnti-TB drugsEthambutolIsoniazidPyrazinamideRifampicinTherapeutic drug monitoring

Identifiers

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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.