Evidence map›Paper›PMID 25377177›Full record

Trial reportTrials2014

The Global Consortium for Drug-resistant Tuberculosis Diagnostics (GCDD): design of a multi-site, head-to-head study of three rapid tests to detect extensively drug-resistant tuberculosis.

Naomi Hillery, Erik J Groessl, Andre Trollip, Donald Catanzaro, Lynn Jackson, Timothy C Rodwell, Richard S Garfein, S-Y Grace Lin, Kathleen Eisenach, Theodore G Ganiats and 6 more

Registry-linked trialOpen access · goldAbstract readClinical TrialComparative StudyMulticenter Study
In one paragraph

Trial report in Trials, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02170441 (Global Consortium for Drug-resistant Tuberculosis Diagnostics), which is not on this map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% 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.

NCT02170441 completednot on this map

Global Consortium for Drug-resistant Tuberculosis Diagnostics

TypeobservationalSponsorUniversity of California, San DiegoRan2012 to 2014Enrolled1,128ConditionsTuberculosis, Tuberculosis, Multidrug-Resistant
3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Widespread loss-of-function mutations implicating preexisting resistance to new or repurposed anti-tuberculosis drugs.Drug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy · 2024
    Article
  5. Novel and reported compensatory mutations inFrontiers in microbiology · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Impact of Fluoroquinolone Use on Mortality Among a Cohort of Patients With Suspected Drug-Resistant Tuberculosis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2017
    Article
  14. Article
  15. Article
  16. Article
  17. Mobility patterns of persons at risk for drug-resistant tuberculosis in Mumbai, India.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2016
    Observational
  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

16 authors at 7 institutions in 4 countries.

Naomi HilleryDepartment of Family & Preventive Medicine, University of California, San Diego, CA, USA. nkatzir@ucsd.edu.
Erik J Groessl
Andre Trollip
Donald Catanzaro
Lynn Jackson
Timothy C Rodwell
Richard S Garfein
S-Y Grace Lin
Kathleen Eisenach
Theodore G Ganiats
Daniel Park
Faramarz Valafar
Camilla Rodrigues
Valeriu Crudu
Thomas C Victor
Antonino Catanzaro
University of California, San Diego · USSan Diego State University · USStellenbosch University · ZACalifornia Department of Public Health · USP. D. Hinduja Hospital and Medical Research Centre · INPhthisiopneumology Institute "Chiril Draganiuc" · MDUniversity of Arkansas for Medical Sciences · US

Funding

Rapid Tests for Drug Resistance to Detect Extensively Drug-Resistant TuberculosisU01AI082229 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CATANZARO, ANTONINO · 2009 to 2013
$10.9M
Evolutionary and Functional Significance of Novel Mutations in MDR-XDR TBR01AI105185 · NIAID · SAN DIEGO STATE UNIVERSITY · PI VALAFAR, FARAMARZ · 2013 to 2021
$5.3M
Binational Transmission of Multidrug-Resistant Tuberculosis, California & MexicoK01AI083784 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI RODWELL, TIMOTHY CHARLES · 2009 to 2012
$487k
NIAID NIH HHS K01 AI083784NIAID NIH HHS R01 AI105185NIAID NIH HHS U01 AI082229NIAID NIH HHS U01-AI082229
6 · The paper itself

Abstract

backgroundDrug-resistant tuberculosis (DR-TB) remains a threat to global public health, owing to the complexity and delay of diagnosis and treatment. The Global Consortium for Drug-resistant Tuberculosis Diagnostics (GCDD) was formed to develop and evaluate assays designed to rapidly detect DR-TB, so that appropriate treatment might begin more quickly. This paper describes the methodology employed in a prospective cohort study for head-to-head assessment of three different rapid diagnostic tools.

methodsSubjects at risk of DR-TB were enrolled from three countries. Data were gathered from a combination of patient interviews, chart reviews, and laboratory testing from each site's reference laboratory. The primary outcome of interest was reduction in time from specimen arrival in the laboratory to results of rapid drug susceptibility tests, as compared with current standard mycobacterial growth indicator tube (MGIT) drug susceptibility tests.

resultsSuccessful implementation of the trial in diverse multinational populations is explained, in addition to challenges encountered and recommendations for future studies with similar aims or populations.

conclusionsThe GCDD study was a head-to-head study of multiple rapid diagnostic assays aimed at improving accuracy and precision of diagnostics and reducing overall time to detection of DR-TB. By conducting a large prospective study, which captured epidemiological, clinical, and biological data, we have produced a high-quality unique dataset, which will be beneficial for analyzing study aims as well as answering future DR-TB research questions. Reduction in detection time for XDR-TB would be a major public health success as it would allow for improved treatment and more successful patient outcomes. Executing successful trials is critical in assessment of these reductions in highly variable populations.

trial registrationClinicalTrials.gov NCT02170441.

Indexed as

Molecular Diagnostic TechniquesResearch DesignClinical ProtocolsCost-Benefit AnalysisDNA, BacterialDrug Resistance, Multiple, BacterialExtensively Drug-Resistant TuberculosisGenotypeHealth Care CostsHumansIndiaMicrobial Sensitivity TestsMoldovaMycobacterium tuberculosisPhenotypePredictive Value of TestsDNA, Bacterial

Identifiers

PMID25377177
PMCPMC4232628
OpenAlexW2103673802

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.