Evidence map›Paper›PMID 32321155›Full record

ArticleMemorias do Instituto Oswaldo Cruz2020

Rapid detection of Mycobacterium tuberculosis DNA and genetic markers for Isoniazid resistance in Ziehl-Neelsen stained slides.

Graziele Lima Bello, Franciele Costa Leite Morais, Sheile Pinheiro de Jesus, Jonas Michel Wolf, Mirela Gehlen, Isabela Neves de Almeida, Lida Jouca de Assis Figueiredo, Tainá Dos Santos Soares, Regina Bones Barcellos, Elis Regina Dalla Costa and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Memorias do Instituto Oswaldo Cruz, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 98% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

12 authors at 4 institutions in 1 country.

Graziele Lima BelloUniversidade Luterana do Brasil, Programa de Pós-Graduação em Biologia Celular e Molecular Aplicada à Saúde, Canoas, RS, Brasil.ORCID http://orcid.org/0000-0001-8537-8413
Franciele Costa Leite MoraisUniversidade Luterana do Brasil, Programa de Pós-Graduação em Biologia Celular e Molecular Aplicada à Saúde, Canoas, RS, Brasil.
Sheile Pinheiro de JesusUniversidade Luterana do Brasil, Programa de Pós-Graduação em Biologia Celular e Molecular Aplicada à Saúde, Canoas, RS, Brasil.
Jonas Michel WolfUniversidade Luterana do Brasil, Programa de Pós-Graduação em Biologia Celular e Molecular Aplicada à Saúde, Canoas, RS, Brasil.
Mirela GehlenUniversidade Federal do Rio Grande do Sul, Programa de Pós-Graduação em Pneumologia, Porto Alegre, RS, Brasil.
Isabela Neves de AlmeidaUniversidade Federal de Minas Gerais, Faculdade de Medicina, Laboratório de Pesquisa em Micobactérias, Belo Horizonte, MG, Brasil.
Lida Jouca de Assis FigueiredoUniversidade Federal de Minas Gerais, Faculdade de Medicina, Laboratório de Pesquisa em Micobactérias, Belo Horizonte, MG, Brasil.
Tainá Dos Santos SoaresUniversidade Luterana do Brasil, Graduação em Biomedicina, Canoas, RS, Brasil.
Regina Bones BarcellosSecretaria do Estado do Rio Grande do Sul, Centro de Desenvolvimento Científico e Tecnológico, Porto Alegre, RS, Brasil.
Elis Regina Dalla CostaUniversidade Federal do Rio de Janeiro, Programa de Pós-Graduação em Clínica Médica, Rio de Janeiro, RJ, Brasil.
Silvana Spíndola de MirandaUniversidade Federal de Minas Gerais, Faculdade de Medicina, Laboratório de Pesquisa em Micobactérias, Belo Horizonte, MG, Brasil.
Maria Lucia Rosa RossettiUniversidade Luterana do Brasil, Programa de Pós-Graduação em Biologia Celular e Molecular Aplicada à Saúde, Canoas, RS, Brasil.
Universidade Luterana do Brasil · BRUniversidade Federal de Minas Gerais · BRUniversidade Federal do Rio de Janeiro · BRUniversidade Federal do Rio Grande do Sul · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly diagnosis of tuberculosis (TB) and identification of strains of Mycobacterium tuberculosis resistant to anti-TB drugs are considered the main factors for disease control.

objectivesTo standardise a real-time polymerase chain reaction (qPCR) assay technique and apply it to identify mutations involved in M. tuberculosis resistance to Isoniazid (INH) directly in Ziehl-Neelsen (ZN) stained slides.

methodsWere analysed 55 independent DNA samples extracted from clinical isolates of M. tuberculosis by sequencing. For application in TB diagnosis resistance, 59 ZN-stained slides were used. The sensitivity, specificity and Kappa index, with a 95% confidence interval (CI95%), were determined.

findingsThe agreement between the tests was, for the katG target, the Kappa index of 0.89 (CI95%: 0.7-1.0). The sensitivity and specificity were 97.6% (CI95%: 87.7-99.9) and 91.7% (CI95%: 61.5-99.5), respectively. For inhA, the Kappa index was 0.92 (CI95%: 0.8-1.0), the sensitivity and specificity were 94.4% (CI95%: 72.7-99.8) and 97.3% (CI95%: 85.8-99.9), respectively. The use of ZN-stained slides for drug-resistant TB detection showed significant results when compared to other standard tests for drug resistance. MAIN

conclusionsqPCR genotyping proved to be an efficient method to detect genes that confer M. tuberculosis resistance to INH. Thus, qPCR genotyping may be an alternative instead of sequencing.

Indexed as

Antitubercular AgentsDNA, BacterialDrug Resistance, BacterialGenetic MarkersGenotypeHumansIsoniazidMicrobial Sensitivity TestsMutationMycobacterium tuberculosisReal-Time Polymerase Chain ReactionSensitivity and SpecificityAntitubercular AgentsDNA, BacterialGenetic MarkersIsoniazid

Identifiers

PMID32321155
PMCPMC7164399
OpenAlexW3017234259

What OpenQuestion holds

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LicenceCC BY
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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.