Evidence map›Paper›PMID 20937778›Full record

ReviewAntimicrobial agents and chemotherapy2011

An oracle: antituberculosis pharmacokinetics-pharmacodynamics, clinical correlation, and clinical trial simulations to predict the future.

Jotam Pasipanodya, Tawanda Gumbo

Abstract readReview
In one paragraph

Review in Antimicrobial agents and chemotherapy, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 3 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

70 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. 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
  2. Pooled it
  3. Meta-analysis of clinical studies supports the pharmacokinetic variability hypothesis for acquired drug resistance and failure of antituberculosis therapy.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2012
    Pooled it
  4. Trial
  5. Trial
  6. Trial
  7. Examining effective monotherapy hypothesis for TB therapy failure and resistance emergence.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Pharmacokinetics of First-Line Drugs in Children With Tuberculosis, Using World Health Organization-Recommended Weight Band Doses and Formulations.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022
    Article
  14. Chemical-genetic interaction mapping links carbon metabolism and cell wall structure to tuberculosis drug efficacy.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Jotam PasipanodyaDivision of Infectious Diseases, UT Southwestern Medical Center at Dallas, Dallas, TX 75390-9113, USA.
Tawanda Gumbo

Funding

Efflux pump inhibitors to reduce duration of antituberculosis therapyDP2OD001886 · OD · UT SOUTHWESTERN MEDICAL CENTER · PI GUMBO, TAWANDA · 2007 to 2007
$2.4M
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 R01AI079497NIH HHS 1 DP2 OD001886NIH HHS DP2 OD001886
6 · The paper itself

Abstract

Antimicrobial pharmacokinetic-pharmacodynamic (PK/PD) science and clinical trial simulations have not been adequately applied to the design of doses and dose schedules of antituberculosis regimens because many researchers are skeptical about their clinical applicability. We compared findings of preclinical PK/PD studies of current first-line antituberculosis drugs to findings from several clinical publications that included microbiologic outcome and pharmacokinetic data or had a dose-scheduling design. Without exception, the antimicrobial PK/PD parameters linked to optimal effect were similar in preclinical models and in tuberculosis patients. Thus, exposure-effect relationships derived in the preclinical models can be used in the design of optimal antituberculosis doses, by incorporating population pharmacokinetics of the drugs and MIC distributions in Monte Carlo simulations. When this has been performed, doses and dose schedules of rifampin, isoniazid, pyrazinamide, and moxifloxacin with the potential to shorten antituberculosis therapy have been identified. In addition, different susceptibility breakpoints than those in current use have been identified. These steps outline a more rational approach than that of current methods for designing regimens and predicting outcome so that both new and older antituberculosis agents can shorten therapy duration.

Indexed as

Antitubercular AgentsClinical Trials as TopicHumansMicrobial Sensitivity TestsMonte Carlo MethodTuberculosisAntitubercular Agents

Identifiers

PMID20937778
PMCPMC3019641

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.