Evidence map›Paper›PMID 24353002›Full record

ArticleJournal of clinical microbiology2014

Predicting extensively drug-resistant Mycobacterium tuberculosis phenotypes with genetic mutations.

Timothy C Rodwell, Faramarz Valafar, James Douglas, Lishi Qian, Richard S Garfein, Ashu Chawla, Jessica Torres, Victoria Zadorozhny, Min Soo Kim, Matt Hoshide and 11 more

Open access · bronzeAbstract readEvaluation 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 64 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 4 pooled it
7.5field-weighted citation impact, top 2% 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

64 citing papers in PubMed, 4 syntheses or guidelines pooled it, 106 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Rapid Extensively Drug-Resistant (XDR) TB Diagnosis: An In-House DNA Biochip for Drug Resistance Detection and Mutation Profiling ofThe Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2026
    Article
  7. Article
  8. Article
  9. Culture-Free Whole Genome Sequencing ofOpen forum infectious diseases · 2024
    Article
  10. Article
  11. Review
  12. Novel and reported compensatory mutations inFrontiers in microbiology · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Clinical and public health utility of Mycobacterium tuberculosis whole genome sequencing.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2021
    Article
  18. Article
  19. Article
  20. Article

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

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

21 authors at 9 institutions in 5 countries.

Timothy C RodwellDepartment of Medicine, University of California San Diego, San Diego, California, USA.
Faramarz Valafar
James Douglas
Lishi Qian
Richard S Garfein
Ashu Chawla
Jessica Torres
Victoria Zadorozhny
Min Soo Kim
Matt Hoshide
Donald Catanzaro
Lynn Jackson
Grace Lin
Edward Desmond
Camilla Rodrigues
Kathy Eisenach
Thomas C Victor
Nazir Ismail
Valeru Crudu
Maria Tarcela Gler
Antonino Catanzaro
San Diego State University · USUniversity of California, San Diego · USUniversity of Hawaiʻi at Mānoa · USCalifornia Department of Public Health · USP. D. Hinduja Hospital and Medical Research Centre · INPhthisiopneumology Institute "Chiril Draganiuc" · MDStellenbosch University · ZATropical Disease Foundation · PHUniversity 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 K01-AI083784NIAID NIH HHS R01 AI105185NIAID NIH HHS U01 AI082229NIAID NIH HHS U01-AI082229
6 · The paper itself

Abstract

Molecular diagnostic methods based on the detection of mutations conferring drug resistance are promising technologies for rapidly detecting multidrug-/extensively drug-resistant tuberculosis (M/XDR TB), but large studies of mutations as markers of resistance are rare. The Global Consortium for Drug-Resistant TB Diagnostics analyzed 417 Mycobacterium tuberculosis isolates from multinational sites with a high prevalence of drug resistance to determine the sensitivities and specificities of mutations associated with M/XDR TB to inform the development of rapid diagnostic methods. We collected M/XDR TB isolates from regions of high TB burden in India, Moldova, the Philippines, and South Africa. The isolates underwent standardized phenotypic drug susceptibility testing (DST) to isoniazid (INH), rifampin (RIF), moxifloxacin (MOX), ofloxacin (OFX), amikacin (AMK), kanamycin (KAN), and capreomycin (CAP) using MGIT 960 and WHO-recommended critical concentrations. Eight genes (katG, inhA, rpoB, gyrA, gyrB, rrs, eis, and tlyA) were sequenced using Sanger sequencing. Three hundred seventy isolates were INHr, 356 were RIFr, 292 were MOXr/OFXr, 230 were AMKr, 219 were CAPr, and 286 were KANr. Four single nucleotide polymorphisms (SNPs) in katG/inhA had a combined sensitivity of 96% and specificities of 97 to 100% for the detection of INHr. Eleven SNPs in rpoB had a combined sensitivity of 98% for RIFr. Eight SNPs in gyrA codons 88 to 94 had sensitivities of 90% for MOXr/OFXr. The rrs 1401/1484 SNPs had 89 to 90% sensitivity for detecting AMKr/CAPr but 71% sensitivity for KANr. Adding eis promoter SNPs increased the sensitivity to 93% for detecting AMKr and to 91% for detecting KANr. Approximately 30 SNPs in six genes predicted clinically relevant XDR-TB phenotypes with 90 to 98% sensitivity and almost 100% specificity.

Indexed as

Drug Resistance, Multiple, BacterialPoint MutationAntitubercular AgentsBacterial ProteinsDNA, BacterialExtensively Drug-Resistant TuberculosisGenotypeHumansIndiaMicrobial Sensitivity TestsMoldovaMolecular Diagnostic TechniquesMycobacterium tuberculosisPhenotypePhilippinesPolymorphism, Single NucleotideAntitubercular AgentsBacterial ProteinsDNA, Bacterial

Identifiers

PMID24353002
PMCPMC3957771
OpenAlexW2150860868

What OpenQuestion holds

Textmetadata
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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.