Evidence map›Paper›PMID 27982061›Full record

ArticleScientific reports2016

Multicenter evaluation of crystal violet decolorization assay (CVDA) for rapid detection of isoniazid and rifampicin resistance in Mycobacterium tuberculosis.

Ahmet Yilmaz Coban, Ahmet Ugur Akbal, Can Bicmen, Ali Albay, Ali Korhan Sig, Meltem Uzun, Deniz Sertel Selale, Nuri Ozkutuk, Suheyla Surucuoglu, Nurhan Albayrak and 9 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Molecular Targets Related Drug Resistance Mechanisms in MDR-, XDR-, and TDR-Frontiers in cellular and infection microbiology · 2018
    Review
  4. 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

19 authors at 9 institutions in 1 country.

Ahmet Yilmaz CobanOndokuz Mayis University Medical School Department of Medical Microbiology, Samsun, Turkey.
Ahmet Ugur AkbalOndokuz Mayis University Medical School Department of Medical Microbiology, Samsun, Turkey.
Can BicmenDr. Suat Seren Chest Diseases and Chest Surgery Training and Research Hospital, Medical Microbiology Laboratory, Izmir, Turkey.
Ali AlbayGulhane Military Medical Academy, Department of Medical Microbiology, Ankara, Turkey.
Ali Korhan SigGulhane Military Medical Academy, Department of Medical Microbiology, Ankara, Turkey.
Meltem UzunIstanbul University Istanbul Medical School Department of Medical Microbiology, Istanbul, Turkey.
Deniz Sertel SelaleIstanbul University Istanbul Medical School Department of Medical Microbiology, Istanbul, Turkey.
Nuri OzkutukCelal Bayar University Medical School Department of Medical Microbiology, Manisa, Turkey.
Suheyla SurucuogluCelal Bayar University Medical School Department of Medical Microbiology, Manisa, Turkey.
Nurhan AlbayrakPublic Health Agency of Turkey Tuberculosis Reference Laboratory, Ankara, Turkey.
Nilay UcarmanPublic Health Agency of Turkey Tuberculosis Reference Laboratory, Ankara, Turkey.
Aydan OzkutukDokuz Eylul University Medical School Department of Medical Microbiology, Izmir, Turkey.
Nuran EsenDokuz Eylul University Medical School Department of Medical Microbiology, Izmir, Turkey.
Ismail CeyhanAtatürk Chest Diseases and Chest Surgery Training and Research Hospital Medical Microbiology Laboratory, Ankara, Turkey.
Mustafa OzyurtHaydarpasa Military Medical Academy, Department of Medical Microbiology, Istanbul, Turkey.
Bayhan BektoreHaydarpasa Military Medical Academy, Department of Medical Microbiology, Istanbul, Turkey.
Gonul AslanMersin University Medical School Department of Medical Microbiology, Mersin, Turkey.
Nuran DelialioğluMersin University Medical School Department of Medical Microbiology, Mersin, Turkey.
Alpaslan AlpHacettepe University Medical School Department of Medical Microbiology, Ankara, Turkey.
Dokuz Eylül University · TRIstanbul University · TRManisa Celal Bayar University · TRMersin Üniversitesi · TRNaval Academy · TROndokuz Mayıs University · TRTurkish Armed Forces · TRHacettepe University · TRIzmir University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this multicenter study was to evaluate the performance of the crystal violet decolorization assay (CVDA) for detection of multidrug resistant tuberculosis (MDR-TB). This study was performed in 11 centers in two phases. A total of 156 isolates were tested for INH and RIF resistance. In the phase I, 106 clinical isolates were tested in the Center 1-7. In the phase 2, 156 clinical isolates were tested in the center 1-6, center 8-11. Eighty six of 156 tested isolates were the same in phase I. Agreements were 96.2-96.8% for INH and 98.1-98.7% for RIF in the phase I-II, respectively. Mean time to obtain the results in the phase I was 14.3 ± 5.4 days. In the phase II, mean time to obtain the results was 11.6 ± 3.5 days. Test results were obtained within 14days for 62.3% (66/106) of isolates in the phase I and 81.4% (127/156) of isolates in the phase II. In conclusion, CVDA is rapid, reliable, inexpensive, and easy to perform for rapid detection of MDR-TB isolates. In addition, it could be adapted for drug susceptibility testing with all drugs both in developed and developing countries.

Indexed as

CalorimetryDeveloped CountriesGentian VioletHumansIsoniazidMicrobial Sensitivity TestsMycobacterium tuberculosisRifampinSensitivity and SpecificityTime FactorsTuberculosis, Multidrug-ResistantGentian VioletIsoniazidRifampin

Identifiers

PMID27982061
PMCPMC5159858
OpenAlexW2561584555

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.