Evidence map›Paper›PMID 24294494›Full record

ArticleEuropean journal of microbiology & immunology2013

Evaluation of Mycobacterium tuberculosis drug susceptibility in clinical specimens from Nigeria using genotype MTBDRplus and MTBDRsl assays.

Michael Felkel, Robert Exner, Regina Schleucher, Helga Lay, Ingo B Autenrieth, Volkhard A J Kempf, Julia-Stefanie Frick

Abstract read
In one paragraph

Article in European journal of microbiology & immunology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Evaluation of the GenoType MTBDRInfection and drug resistance · 2018
    Article
  4. GenoTypeThe Cochrane database of systematic reviews · 2016
    Review
  5. 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

7 authors.

Michael Felkel
Robert Exner
Regina Schleucher
Helga Lay
Ingo B Autenrieth
Volkhard A J Kempf
Julia-Stefanie Frick

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The incidence of tuberculosis (TB) and especially multidrug-resistant TB (MDR) continues to increase alarmingly worldwide, and reliable and fast diagnosis of MDR is essential for the adequate treatment of patients. In contrast to the standard culture methods, nucleid acid amplification tests (NAATs) provide information about presence of Mycobacterium tuberculosis complex (MTBC) DNA and a potential resistance pattern within hours. We analyzed specimens of 110 patients from Nigeria comparing culture-based drug susceptibility testing (DST) to NAAT assays detecting isoniazid (INH), rifampicin (RMP) (GenoType MTBDRplus), and ethambutol (EMB) (GenoType MTBDRsl) resistance. Compared to DST, the GenoType MTBDRplus and MTBDRsl showed a specificity of 100% (86.3-100) and a sensitivity of 86% (42.1-99.6%) for detection of INH and a specificity of 100% (86.3-100) and a sensitivity of 83% (35.9-99.6%) for detection of RMP, and a sensitivity 100% (47.8-100%) for EMB resistance. However, in two strains, the NAAT assays provided false susceptible results as the mutations causing resistance were in genomic regions not covered by the probes of the GenoType MTBDRplus assay. We show that, in combination to DST, application of the GenoType MTBDRplus and GenoType MTBDRsl assays might be a useful additional tool to allow a rapid and safe diagnosis of MDR and extensively drug-resistant (XDR) MTBC.

Indexed as

drug susceptibility testingGenoTypeMycobacterium tuberculosis complexNigeria

Identifiers

PMID24294494
PMCPMC3838540

What OpenQuestion holds

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Read underepoch 390

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.