Evidence map›Paper›PMID 29779775›Full record

ArticleTuberculosis (Edinburgh, Scotland)2018

Accuracy of whole genome sequencing versus phenotypic (MGIT) and commercial molecular tests for detection of drug-resistant Mycobacterium tuberculosis isolated from patients in Brazil and Mozambique.

Cinara Silva Feliciano, Evangelina Inacio Namburete, Jéssica Rodrigues Plaça, Kamila Peronni, Anzaan Dippenaar, Robin Mark Warren, Wilson Araújo Silva, Valdes Roberto Bollela

Abstract readComparative Study
In one paragraph

Article in Tuberculosis (Edinburgh, Scotland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Monitoring of First-line Drug Resistance Mutations Outside the Scope of Xpert MTB/RIF Ultra is Needed for Successful Control of DR-TB in Southern Mozambique.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
    Article
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  10. Review
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  12. Diagnosis and treatment of multidrug-resistant tuberculosis.Yeungnam University journal of medicine · 2020
    Article
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  15. Article
  16. Article
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  18. Article
  19. Tuberculosis drug resistance profiling based on machine learning: A literature review.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases
    Review
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

8 authors.

Cinara Silva FelicianoDepartment of Internal Medicine, Ribeirão Preto Medical School, University of São Paulo (FMRP-USP), Brazil.
Evangelina Inacio NambureteDepartment of Internal Medicine, Ribeirão Preto Medical School, University of São Paulo (FMRP-USP), Brazil.
Jéssica Rodrigues PlaçaCenter for Medical Genomics, Clinics Hospital at Ribeirão Preto Medical School, University of São Paulo (FMRP-USP), Brazil.
Kamila PeronniCenter for Medical Genomics, Clinics Hospital at Ribeirão Preto Medical School, University of São Paulo (FMRP-USP), Brazil.
Anzaan DippenaarDST/NRF Centre of Excellence for Biomedical Tuberculosis Research, SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, South Africa.
Robin Mark WarrenDST/NRF Centre of Excellence for Biomedical Tuberculosis Research, SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, South Africa.
Wilson Araújo SilvaCenter for Medical Genomics, Clinics Hospital at Ribeirão Preto Medical School, University of São Paulo (FMRP-USP), Brazil; Department of Genetics, Ribeirão Preto Medical School, University of São Paulo (FMRP-USP), Brazil.
Valdes Roberto BollelaDepartment of Internal Medicine, Ribeirão Preto Medical School, University of São Paulo (FMRP-USP), Brazil; Center for Medical Genomics, Clinics Hospital at Ribeirão Preto Medical School, University of São Paulo (FMRP-USP), Brazil. Electronic address: vbollela@fmrp.usp.br.

Funding

Fogarty HIV Research Training Program (Mozambique)D43TW009753 · FIC · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HARRISON, LEE H · 2014 to 2018
$1.2M
FIC NIH HHS D43 TW009753
6 · The paper itself

Abstract

backgroundThe fast and accurate diagnosis of drug-resistant tuberculosis (DR-TB) is critical to reducing the spread of disease. Although commercial genotypic drug-susceptibility tests (DST) are close to the goal, they are still not able to detect all relevant DR-TB related mutations. Whole genome sequencing (WGS) allows better comprehension of DR-TB with a great discriminatory power. We aimed to evaluate WGS in M. tuberculosis isolates compared with phenotypic and genotypic DST.

methodsThis cross-sectional study evaluated 30 isolates from patients with detected DR-TB in Brazil and Mozambique. They were evaluated with phenotypic (MGIT-SIRE™) and genotypic (Xpert-MTB/RIF™, Genotype-MTBDRplus™, and MTBDRsl™) DST. Isolates with resistance to at least one first- or second-line drug were submitted to WGS and analyzed with TB profiler database.

resultsWGS had the best performance among the genotypic DST, compared to the phenotypic test. There was a very good concordance with phenotypic DST for rifampicin and streptomycin (89.6%), isoniazid (96.5%) and ethambutol (82.7%). WGS sensitivity and specificity for detection resistance were respectively 87.5 and 92.3% for rifampicin; 95.6 and 100% for isoniazid; 85.7 and 93.3% for streptomycin while 100 and 77.2% for ethambutol. Two isolates from Mozambique showed a Val170Phe rpoB mutation which was neither detected by Xpert-MTB/RIF nor Genotype-MTBDRplus.

conclusionWGS was able to provide all the relevant information about M. tuberculosis drug susceptibility in a single test and also detected a mutation in rpoB which is not covered by commercial genotypic DST.

Indexed as

Antitubercular AgentsCross-Sectional StudiesDNA, BacterialDrug Resistance, BacterialDrug Resistance, Multiple, BacterialEthambutolHumansIsoniazidMicrobial Sensitivity TestsMutationMycobacterium tuberculosisPhenotypeRifampinStreptomycinTuberculosis, Multidrug-ResistantWhole Genome SequencingAntitubercular AgentsDNA, BacterialEthambutolIsoniazidRifampinStreptomycinAntimicrobial susceptibility testingDrug-resistant tuberculosisNext-generation sequencing clinical diagnosticsWhole genome sequencing

Identifiers

PMID29779775
PMCPMC9328935

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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.