Evidence map›Paper›PMID 12624075›Full record

ArticleJournal of clinical microbiology2003

Identification of mycobacterial species by PCR sequencing of quinolone resistance-determining regions of DNA gyrase genes.

Jean-Noël Dauendorffer, Isabelle Guillemin, Alexandra Aubry, Chantal Truffot-Pernot, Wladimir Sougakoff, Vincent Jarlier, Emmanuelle Cambau

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical microbiology, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

26 citing papers in PubMed, 56 citations in OpenAlex.

  1. Article
  2. Biochip-Based Identification of Mycobacterial Species in Russia.International journal of molecular sciences · 2024
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  5. Mutations inAntimicrobial agents and chemotherapy · 2018
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  7. Mycobacterium marinum.Microbiology spectrum · 2017
    Review
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  13. Article
  14. Effects of broad-spectrum antimycobacterial therapy on chronic pulmonary sarcoidosis.Sarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG · 2013
    Article
  15. Article
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  17. Article
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  19. Article
  20. 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 at 1 institution in 1 country.

Jean-Noël DauendorfferLaboratoire de Bactériologie-Hygiène, Faculté de Médecine Pitié-Salpêtrière, Université Paris VI, France.
Isabelle Guillemin
Alexandra Aubry
Chantal Truffot-Pernot
Wladimir Sougakoff
Vincent Jarlier
Emmanuelle Cambau
Sorbonne Université · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The determination of the amino acid sequence of quinolone resistance-determining regions (QRDRs) in the A and B subunits of DNA gyrase is the molecular test for the detection of fluoroquinolone resistance in mycobacteria. We looked to see if the assignment of mycobacterial species could be obtained simultaneously by analysis of the corresponding nucleotide sequences. PCR sequencing of gyrA and gyrB QRDRs was performed for 133 reference and clinical strains of 21 mycobacterial species commonly isolated in clinical laboratories. Nucleotide sequences of gyrA and gyrB QRDRs were species specific, regardless of fluoroquinolone susceptibility.

Indexed as

Anti-Infective AgentsBase SequenceDNA, BacterialDNA GyraseDrug Resistance, BacterialFluoroquinolonesHumansMicrobial Sensitivity TestsMolecular Sequence DataMycobacteriumPolymerase Chain ReactionProtein Structure, TertiarySequence Homology, Nucleic AcidAnti-Infective AgentsDNA, BacterialDNA GyraseFluoroquinolones

Identifiers

PMID12624075
PMCPMC150312
OpenAlexW2152634568

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.