Evidence map›Paper›PMID 18614651›Full record

ArticleJournal of clinical microbiology2008

Utility of new 24-locus variable-number tandem-repeat typing for discriminating Mycobacterium tuberculosis clinical isolates collected in Bulgaria.

Violeta Valcheva, Igor Mokrousov, Olga Narvskaya, Nalin Rastogi, Nadya Markova

Abstract read
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 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–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

15 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Prevalence and occurrence rate of Mycobacterium tuberculosis Haarlem family multi-drug resistant in the worldwide population: A systematic review and meta-analysis.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2015
    Review
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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

5 authors.

Violeta ValchevaDepartment of Pathogenic Bacteria, Stephan Angeloff Institute of Microbiology, Bulgarian Academy of Sciences, Sofia, Bulgaria.
Igor Mokrousov
Olga Narvskaya
Nalin Rastogi
Nadya Markova

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study evaluated new markers for molecular typing of Mycobacterium tuberculosis with a collection of strains circulating in Bulgaria. A study sample included 133 strains from epidemiologically unlinked patients from different regions of the country. Spoligotyping was used as a primary typing tool; it subdivided these strains into 37 types, including 15 clusters and 22 singletons. Traditional IS6110-restriction fragment length polymorphism (RFLP) typing and novel 24-locus variable number tandem-repeat (VNTR) typing methods were applied to the selection of 73 strains. Discriminatory power (Hunter-Gaston index [HGI]) of these methods was found to be 0.983 and 0.997, respectively. The 73 strains were subdivided into 66 types by a 24-locus mycobacterial interspersed repetitive unit (MIRU)-VNTR scheme, 62 types by a classical 12-locus MIRU-VNTR scheme, 51 types by IS6110-RFLP typing, and 31 types by spoligotyping. A combination of the five most polymorphic loci (MIRU40, Mtub04, Mtub21, QUB-11b, and QUB-26) was shown to achieve a high discrimination (HGI = 0.984). To conclude, a complete 24-locus scheme excellently differentiated strains in our study, whereas a reduced 5-locus set provided a sufficiently high differentiation and may be preliminarily suggested for the first-line typing of M. tuberculosis isolates in Bulgaria.

Indexed as

AdultBacterial Typing TechniquesBulgariaGenotypeHumansMinisatellite RepeatsMycobacterium tuberculosisPolymerase Chain ReactionTuberculosis, Pulmonary

Identifiers

PMID18614651
PMCPMC2546716

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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.