Evidence map›Paper›PMID 31073733›Full record

ArticleCurrent microbiology2019

Simple Identification of Mycobacterial Species by Sequence-Specific Multiple Polymerase Chain Reactions.

Nihan Unubol, Inci Tuney Kizilkaya, Sinem Oktem Okullu, Kaya Koksalan, Tanil Kocagoz

Abstract read
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In one paragraph

Article in Current microbiology, 2019. 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
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.

  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

5 authors.

Nihan UnubolDepartment of Medical Microbiology, Faculty of Medicine, Acibadem Mehmet Ali Aydınlar University, Istanbul, Turkey.
Inci Tuney KizilkayaFaculty of Sciences, Department of Biology, Ege University, Izmir, Turkey.
Sinem Oktem OkulluDepartment of Medical Microbiology, Faculty of Medicine, Acibadem Mehmet Ali Aydınlar University, Istanbul, Turkey.
Kaya KoksalanAziz Sancar Institute of Experimental Medicine, Istanbul University, Istanbul, Turkey.
Tanil KocagozDepartment of Medical Microbiology, Faculty of Medicine, Acibadem Mehmet Ali Aydınlar University, Istanbul, Turkey. tanil.kocagoz@acibadem.edu.tr.

Funding

TUBİTAK 107S014 (SBAG-3541)
6 · The paper itself

Abstract

Several species of mycobacteria cause infections in humans. Species identification of clinical isolates of mycobacteria is very important for the decision of treatment and in choosing the appropriate treatment regimen. We have developed a multiplex PCR method that can identify practically all known species of mycobacteria, by determination of single-nucleotide differences at a total of 13 different polymorphic regions in the genes of rRNA and hsp65, in four PCR mixes. To achieve this goal, single-nucleotide differences in these polymorphic regions were used to divide mycobacterial species into two groups, than four, eight, etc., in an algorithmic manner. It was sufficient to reach single species level by evaluating 13 polymorphic regions. Evaluation of the multiplex PCR patterns by observable real-time electrophoresis (ORTE) simplified species identification. This new method may enable easy, rapid, and cost-effective identification of all species of mycobacteria.

Indexed as

Multiplex Polymerase Chain ReactionBacterial ProteinsChaperonin 60DNA, BacterialGenes, rRNAHumansMycobacteriumMycobacterium InfectionsPolymorphism, Single NucleotideSpecies SpecificityBacterial ProteinsChaperonin 60DNA, Bacterialheat-shock protein 65, Mycobacterium

Identifiers

What OpenQuestion holds

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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.