Evidence map›Paper›PMID 24478476›Full record

ArticleJournal of clinical microbiology2014

Pyrosequencing for rapid detection of extensively drug-resistant Mycobacterium tuberculosis in clinical isolates and clinical specimens.

S-Y Grace Lin, Timothy C Rodwell, Thomas C Victor, Errin C Rider, Lucy Pham, Antonino Catanzaro, Edward P Desmond

Open access · bronzeAbstract readValidation Study
In one paragraph

Article in Journal of clinical microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 2 pooled it
5.4field-weighted citation impact, top 3% 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

36 citing papers in PubMed, 2 syntheses or guidelines pooled it, 74 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Review
  5. Review
  6. Article
  7. DisseminatedOpen forum infectious diseases · 2020
    Article
  8. Review
  9. Design and Implementation of Data Exchange Formats for Molecular Detection of Drug-Resistant Tuberculosis.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2019
    Article
  10. Article
  11. Molecular Diagnosis of Tuberculosis.Chonnam medical journal · 2018
    Review
  12. Cryptic Microheteroresistance Explains Mycobacterium tuberculosis Phenotypic Resistance.American journal of respiratory and critical care medicine · 2017
    Article
  13. Clinical and bacteriological characteristics associated with clustering of multidrug-resistant tuberculosis.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2017
    Article
  14. Article
  15. Article
  16. Observational
  17. Article
  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

7 authors at 3 institutions in 2 countries.

S-Y Grace LinCalifornia Department of Public Health, Richmond, California, USA.
Timothy C Rodwell
Thomas C Victor
Errin C Rider
Lucy Pham
Antonino Catanzaro
Edward P Desmond
California Department of Public Health · USUniversity of California, San Diego · USStellenbosch University · ZA

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
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 K01AI083784NIAID NIH HHS U01 AI082229PHS HHS U01 A1082229-01
6 · The paper itself

Abstract

Treating extensively drug-resistant (XDR) tuberculosis (TB) is a serious challenge. Culture-based drug susceptibility testing (DST) may take 4 weeks or longer from specimen collection to the availability of results. We developed a pyrosequencing (PSQ) assay including eight subassays for the rapid identification of Mycobacterium tuberculosis complex (MTBC) and concurrent detection of mutations associated with resistance to drugs defining XDR TB. The entire procedure, from DNA extraction to the availability of results, was accomplished within 6 h. The assay was validated for testing clinical isolates and clinical specimens, which improves the turnaround time for molecular DST and maximizes the benefit of using molecular testing. A total of 130 clinical isolates and 129 clinical specimens were studied. The correlations between the PSQ results and the phenotypic DST results were 94.3% for isoniazid, 98.7% for rifampin, 97.6% for quinolones (ofloxacin, levofloxacin, or moxifloxacin), 99.2% for amikacin, 99.2% for capreomycin, and 96.4% for kanamycin. For testing clinical specimens, the PSQ assay yielded a 98.4% sensitivity for detecting MTBC and a 95.8% sensitivity for generating complete sequencing results from all subassays. The PSQ assay was able to rapidly and accurately detect drug resistance mutations with the sequence information provided, which allows further study of the association of drug resistance or susceptibility with each mutation and the accumulation of such knowledge for future interpretation of results. Thus, reporting of false resistance for mutations known not to confer resistance can be prevented, which is a significant benefit of the assay over existing molecular diagnostic methods endorsed by the World Health Organization.

Indexed as

Sequence Analysis, DNABacteriological TechniquesDNA, BacterialExtensively Drug-Resistant TuberculosisHumansMolecular Diagnostic TechniquesMycobacterium tuberculosisSensitivity and SpecificityTimeDNA, Bacterial

Identifiers

PMID24478476
PMCPMC3911348
OpenAlexW2129756442

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.