ReviewTuberculosis (Edinburgh, Scotland)2018
The utility of pharmacokinetic studies for the evaluation of exposure-response relationships for standard dose anti-tuberculosis drugs.
Review in Tuberculosis (Edinburgh, Scotland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- 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 · 2020Pooled it
- Timing of recurrence after treatment of pulmonary TB.IJTLD open · 2024Article
- Multidrug-resistant tuberculosis.Nature reviews. Disease primers · 2024Review
- Effect of NAT2, GSTM1 and CYP2E1 genetic polymorphisms on plasma concentration of isoniazid and its metabolites in patients with tuberculosis, and the assessment of exposure-response relationships.Frontiers in pharmacology · 2024Article
- Estimating the prevalence of poor-quality anti-TB medicines: a neglected risk for global TB control and resistance.BMJ global health · 2023Article
- Clinical impact of plasma concentrations of first-line antituberculosis drugs.South African medical journal = Suid-Afrikaanse tydskrif vir geneeskunde · 2023Article
- Clinical Pharmacokinetic and Pharmacodynamic Considerations in the Drug Treatment of Non-Tuberculous Mycobacteria in Cystic Fibrosis.Clinical pharmacokinetics · 2021Review
- The Impact of First-Line Anti-Tubercular Drugs' Pharmacokinetics on Treatment Outcome: A Systematic Review.Clinical pharmacology : advances and applications · 2021Article
- Subtherapeutic Rifampicin Concentration Is Associated With Unfavorable Tuberculosis Treatment Outcomes.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020Article
- Effects of genetic variability on rifampicin and isoniazid pharmacokinetics in South African patients with recurrent tuberculosis.Pharmacogenomics · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Tuberculosis (TB) is a major public health problem. Many countries still fall below the minimum World Health Organization (WHO) TB treatment target success rate. There is conflicting evidence about whether concentrations of anti-tuberculosis drugs given at standard doses have an effect on treatment outcomes. The current data correlating anti-TB drug concentrations and treatment outcome is limited. This article summarized the existing literature and their utility in evaluating the association between each anti-TB drug's concentrations using current target concentrations and treatment outcomes in patients with pulmonary tuberculosis receiving standard WHO-recommended dosing.
Indexed as
Identifiers
What OpenQuestion holds
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.