Evidence map›Paper›PMID 25749461›Full record

ArticleDiagnostic microbiology and infectious disease2015

Defining multidrug-resistant tuberculosis: correlating GenoType MTBDRplus assay results with minimum inhibitory concentrations.

Priti Kambli, Kanchan Ajbani, Meeta Sadani, Chaitali Nikam, Anjali Shetty, Zarir Udwadia, Sophia B Georghiou, Timothy C Rodwell, Antonino Catanzaro, Camilla Rodrigues

Abstract readComparative Study
In one paragraph

Article in Diagnostic microbiology and infectious disease, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Predicting isoniazid resistance inJournal of clinical microbiology · 2026
    Article
  3. Article
  4. Isoniazid resistance-conferring mutations are associated with highly variable phenotypic resistance.Journal of clinical tuberculosis and other mycobacterial diseases · 2023
    Article
  5. Review
  6. Correlating genetic mutations with isoniazid phenotypic levels of resistance in Mycobacterium tuberculosis isolates from patients with drug-resistant tuberculosis in a high burden setting.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. Frequency and Type of DisputedTuberculosis and respiratory diseases · 2017
    Article
  11. Article
  12. Current tools available for the diagnosis of drug-resistant tuberculosis.Therapeutic advances in infectious disease · 2016
    Review
  13. Comparison of TaqMan(®) Array Card and MYCOTB(TM) with conventional phenotypic susceptibility testing in MDR-TB.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2016
    Article
  14. Article
  15. Article
  16. 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

10 authors at 3 institutions in 2 countries.

Priti KambliMicrobiology Section, Department of Laboratory Medicine, P.D. Hinduja National Hospital and Medical Research Center, Mumbai, India.
Kanchan AjbaniMicrobiology Section, Department of Laboratory Medicine, P.D. Hinduja National Hospital and Medical Research Center, Mumbai, India.
Meeta SadaniMicrobiology Section, Department of Laboratory Medicine, P.D. Hinduja National Hospital and Medical Research Center, Mumbai, India.
Chaitali NikamMicrobiology Section, Department of Laboratory Medicine, P.D. Hinduja National Hospital and Medical Research Center, Mumbai, India.
Anjali ShettyMicrobiology Section, Department of Laboratory Medicine, P.D. Hinduja National Hospital and Medical Research Center, Mumbai, India.
Zarir UdwadiaPulmonology Section, Department of Medicine, P.D. Hinduja National Hospital and Medical Research Center, Mumbai, India.
Sophia B GeorghiouDepartment of Medicine, University of California, San Diego, San Diego, CA, USA.
Timothy C RodwellDepartment of Medicine, University of California, San Diego, San Diego, CA, USA.
Antonino CatanzaroDepartment of Medicine, University of California, San Diego, San Diego, CA, USA.
Camilla RodriguesMicrobiology Section, Department of Laboratory Medicine, P.D. Hinduja National Hospital and Medical Research Center, Mumbai, India. Electronic address: dr_crodrigues@hindujahospital.com.
P. D. Hinduja Hospital and Medical Research Centre · INUniversity of California, San Diego · USNational Hospital · IN

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
An Integrated Tabletop Platform for Rapid Detection of XDR-TB in Clinical SamplesR01AI111435 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI RODWELL, TIMOTHY CHARLES · 2014 to 2018
$5.4M
NIAID NIH HHS R01 AI111435NIAID NIH HHS R01AI111435-04NIAID NIH HHS U01 AI082229NIAID NIH HHS U01-AI082229
6 · The paper itself

Abstract

This study correlates MICs of rifampicin (RIF) and isoniazid (INH) with GenoType MTBDRplus assay results for drug-resistant Mycobacterium tuberculosis (MTB) clinical isolates. MICs of RIF and INH were established for 84 and 90 isolates, respectively, testing 7 concentrations of each drug. Genotypic resistance to each drug was determined by GenoType MTBDRplus assay with 50 representative mutations confirmed by pyrosequencing, with mutations in the rpoB gene associated with RIF resistance and mutations in the katG and/or inhA genes associated with INH resistance. Based upon the correlation of MICs with specific genetic profiles, relative resistance levels were established for each isolate. Results indicate that MTB phenotypic resistance, currently based upon the testing of isolate susceptibility to a single drug concentration, may be more accurately profiled via quantitative MICs, and therefore, the correlation of molecular diagnostic results with specific MICs may allow for more optimal treatment of infections.

Indexed as

Drug Resistance, Multiple, BacterialAntitubercular AgentsBacterial ProteinsCatalaseDNA-Directed RNA PolymerasesGenotypeGenotyping TechniquesHumansIsoniazidMicrobial Sensitivity TestsMutationMycobacterium tuberculosisOxidoreductasesPhenotypeRifampinTuberculosis, Multidrug-ResistantAntitubercular AgentsBacterial ProteinsCatalaseDNA-Directed RNA PolymerasesInhA protein, MycobacteriumIsoniazidkatG protein, Mycobacterium tuberculosisOxidoreductasesRifampinRNA polymerase beta subunitDrug susceptibility testingLevel of resistanceMultidrug-resistant tuberculosisMutations

Identifiers

PMID25749461
PMCPMC4414878
OpenAlexW2062097990

What OpenQuestion holds

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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.