Evidence map›Paper›PMID 18945838›Full record

ArticleJournal of clinical microbiology2008

Rapid detection of Mycobacterium tuberculosis resistance to second-line drugs by use of the manual mycobacterium growth indicator tube system.

Anandi Martin, Andrea von Groll, Krista Fissette, Juan Carlos Palomino, Francis Varaine, Françoise Portaels

Open access · greenAbstract readComparative StudyEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 20 citations in OpenAlex.

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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

6 authors at 3 institutions in 3 countries.

Anandi MartinMycobacteriology Unit, Institute of Tropical Medicine, Antwerp, Belgium. amartin@itg.be
Andrea von Groll
Krista Fissette
Juan Carlos Palomino
Francis Varaine
Françoise Portaels
Instituut voor Tropische Geneeskunde · BEMédecins Sans Frontières · FRUniversidade Federal do Rio Grande · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to evaluate the manual mycobacterium growth indicator tube (MGIT) system for the testing of Mycobacterium tuberculosis susceptibility to second-line drugs compared to the proportion method. One hundred eighty-eight M. tuberculosis isolates were tested for susceptibility to ofloxacin, kanamycin, ethionamide, and capreomycin by the manual MGIT, and results were compared to those obtained with the proportion method on 7H11 agar, considered a reference method. Results for ofloxacin and capreomycin were excellent, with 100% accuracy, and a result of 99.4% accuracy was achieved for kanamycin. For ethionamide, accuracy was lower, with a result of 86.7% compared to that of the proportion method. We proposed the following critical concentrations for the drugs: for ofloxacin, 2.0 microg/ml; for kanamycin, 2.5 microg/ml; for ethionamide, 5 microg/ml; and for capreomycin, 2.5 microg/ml. The time required to obtain results was an average of 8 days by the manual MGIT and 3 weeks by the reference method. Our results show that the manual MGIT is an accurate method for the rapid susceptibility testing of M. tuberculosis to second-line drugs. There is no need for a machine when using the manual MGIT, and results can be read with a simple UV lamp or with a semiquantitative reader, which considerably reduces the cost of the method.

Indexed as

Antitubercular AgentsHumansMicrobial Sensitivity TestsMycobacterium tuberculosisSensitivity and SpecificityTime FactorsAntitubercular Agents

Identifiers

PMID18945838
PMCPMC2593252
OpenAlexW2151782607

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.