Evidence map›Paper›PMID 22108776›Full record

Trial reportEuropean journal of clinical pharmacology2012

The influence of tuberculosis treatment on efavirenz clearance in patients co-infected with HIV and tuberculosis.

Tanuja N Gengiah, Nicholas H G Holford, Julia H Botha, Andrew L Gray, Kogieleum Naidoo, Salim S Abdool Karim

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in European journal of clinical pharmacology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 6% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Conference report: pharmacogenomics in special populations at WCP2018.British journal of clinical pharmacology · 2019
    Article
  11. Article
  12. Article
  13. Plasma Cytokine Predictors of Tuberculosis Recurrence in Antiretroviral-Treated Human Immunodeficiency Virus-infected Individuals from Durban, South Africa.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2017
    Article
  14. Integrated therapy for HIV and tuberculosis.AIDS research and therapy · 2016
    Review
  15. Combined effect of CYP2B6 and NAT2 genotype on plasma efavirenz exposure during rifampin-based antituberculosis therapy in the STRIDE study.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2015
    Article
  16. Article
  17. Article
  18. Review
  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

6 authors at 3 institutions in 3 countries.

Tanuja N GengiahCentre for the AIDS Programme of Research in South Africa, University of KwaZulu-Natal, Durban, South Africa. gengiaht1@ukzn.ac.za
Nicholas H G Holford
Julia H Botha
Andrew L Gray
Kogieleum Naidoo
Salim S Abdool Karim
Centre for the AIDS Programme of Research in South Africa · ZAUniversity of KwaZulu-Natal · ZAUniversity of Auckland · NZ

Funding

The Viral Set Point in HIV-1 Subtype C InfectionU19AI051794 · NIAID · UNIVERSITY OF KWAZULU-NATAL · PI ABDOOL KARIM, SALIM S · 2002 to 2007
$22.5M
TUBERCULOSIS SUPPLEMENTD43TW000231 · FIC · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI ABDOOL KARIM, QUARRAISHA · 1993 to 2014
$13.1M
FIC NIH HHS D43 TW000231FIC NIH HHS D43TW00231NIAID NIH HHS AI51794NIAID NIH HHS U19 AI051794NIAID NIH HHS U19 AI051794-0453
6 · The paper itself

Abstract

purposeDrug interactions are of concern when treating patients co-infected with human immunodeficiency virus (HIV) and tuberculosis. Concomitant use of efavirenz (EFV) with the enzyme inducer rifampicin might be expected to increase EFV clearance. We investigated the influence of concomitant tuberculosis treatment on the plasma clearance of EFV.

methodsFifty-eight patients were randomized to receive their EFV-containing antiretroviral therapy either during or after tuberculosis treatment. Steady-state EFV plasma concentrations (n = 209 samples) were measured, 83 in the presence of rifampicin. Data were analyzed using a non-linear mixed effects model, and the model was evaluated using non-parametric bootstrap and visual predictive checks.

resultsThe patients had a median age of 32 (range 19-55) years and 43.1% were women. There was a bimodal distribution of apparent clearance, with slow EFV metabolizers accounting for 23.6% of the population and having a metabolic capacity 36.4% of that of the faster metabolizers. Apparent EFV clearance after oral administration in fast metabolizers was 12.9 L/h/70 kg whilst off tuberculosis treatment and 9.1 L/h/70 kg when on tuberculosis treatment. In slow metabolizers, the clearance estimates were 3.3 and 4.7 L/h/70 kg in the presence and absence of TB treatment, respectively. Overall there was a 29.5% reduction in EFV clearance during tuberculosis treatment.

conclusionUnexpectedly, concomitant rifampicin-containing tuberculosis treatment reduced apparent EFV clearance with a corresponding increase in EFV exposure. While the reasons for this interaction require further investigation, cytochrome P450 2B6 polymorphisms in the population studied may provide some explanation.

Indexed as

AdultAlkynesAntibiotics, AntitubercularAnti-HIV AgentsBenzoxazinesBiotransformationCyclopropanesDrug Administration ScheduleDrug InteractionsFemaleHalf-LifeHIV InfectionsHumansMaleMetabolic Clearance RateMiddle AgedAlkynesAntibiotics, AntitubercularAnti-HIV AgentsBenzoxazinesCyclopropanesefavirenzReverse Transcriptase InhibitorsRifampin

Identifiers

PMID22108776
PMCPMC3888951
OpenAlexW2161560844

What OpenQuestion holds

Textmetadata
LicenceTDM
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.