Evidence map›Paper›PMID 23144818›Full record

SynthesisPloS one2012

Use of anti-retroviral therapy in tuberculosis patients on second-line anti-TB regimens: a systematic review.

Matthew Arentz, Patricia Pavlinac, Michael E Kimerling, David J Horne, Dennis Falzon, Holger J Schünemann, Sarah Royce, Keertan Dheda, Judd L Walson, ART study group

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 5 pooled it
1.8field-weighted citation impact, top 16% 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

20 citing papers in PubMed, 5 syntheses or guidelines pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Treatment of Drug-Resistant Tuberculosis. An Official ATS/CDC/ERS/IDSA Clinical Practice Guideline.American journal of respiratory and critical care medicine · 2019
    Guideline
  4. Effectiveness of interventions for reducing TB incidence in countries with low TB incidence: a systematic review of reviews.European respiratory review : an official journal of the European Respiratory Society · 2019
    Pooled it
  5. Pooled it
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. A killer combination that must be stopped.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2015
    Article
  16. Article
  17. Tuberculosis Comorbidity with Communicable and Noncommunicable Diseases.Cold Spring Harbor perspectives in medicine · 2015
    Review
  18. Tuberculosis treatment and drug regimens.Cold Spring Harbor perspectives in medicine · 2015
    Review
  19. Review
  20. Review
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

10 authors at 7 institutions in 4 countries.

Matthew ArentzThe University of Washington, Seattle, Washington, United States of America. marentz@u.washington.edu
Patricia Pavlinac
Michael E Kimerling
David J Horne
Dennis Falzon
Holger J Schünemann
Sarah Royce
Keertan Dheda
Judd L Walson
ART study group
University of Washington · USBill & Melinda Gates Foundation · USMcMaster University · CAUniversity of California, San Francisco · USUniversity of Cape Town · ZAUniversity of Washington Applied Physics Laboratory · USWorld Health Organization · CH

Funding

Tuberculosis Infection and Genetic VariationK23AI085036 · NIAID · UNIVERSITY OF WASHINGTON · PI HORNE, DAVID J. · 2010 to 2014
$638k
NIAID NIH HHS K23 AI085036
6 · The paper itself

Abstract

introductionUse of antiretroviral therapy (ART) during treatment of drug susceptible tuberculosis (TB) improves survival. However, data from HIV infected individuals with drug resistant TB are lacking. Second line TB drugs when combined with ART may increase drug interactions and lead to higher rates of toxicity and greater noncompliance. This systematic review sought to determine the benefit of ART in the setting of second line drug therapy for drug resistant TB.

methodsWe included individual patient data from studies that evaluated treatment of drug-resistant tuberculosis in HIV-1 infected individuals published between January 1980 and December of 2009. We evaluated the effect of ART on treatment outcomes, time to smear and culture conversion, and adverse events.

resultsTen observational studies, including data from 217 subjects, were analyzed. Patients using ART during TB treatment had increased likelihood of cure (hazard ratio (HR) 3.4, 95% CI 1.6-7.4) and decreased likelihood of death (HR 0.4, 95% CI 0.3-0.6) during treatment for drug resistant TB. These associations remained significant in patients with a CD4 less than 200 cells/mm(3) and less than 50 cells/mm(3), and when correcting for drug resistance pattern. LIMITATIONS: We identified only observational studies from which individual patient data could be drawn. Limitations in study design, and heterogeneity in a number of the outcomes of interest had the potential to introduce bias. DISCUSSION: While there are insufficient data to determine if ART use increases adverse drug interactions when used with second line TB drugs, ART use during treatment of drug resistant TB appears to improve cure rates and decrease risk of death. All individuals with HIV appear to benefit from ART use during treatment for TB.

Indexed as

Anti-Retroviral AgentsAntitubercular AgentsHIV-1HIV InfectionsHumansMycobacteriumTreatment OutcomeTuberculosisTuberculosis, Multidrug-ResistantAnti-Retroviral AgentsAntitubercular Agents

Identifiers

PMID23144818
PMCPMC3489892
OpenAlexW2091969879

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.