Evidence map›Paper›PMID 17021072›Full record

ArticleJournal of clinical microbiology2006

Mycobacterium barrassiae sp. nov., a Mycobacterium moriokaense group species associated with chronic pneumonia.

Toïdi Adékambi, Didier Raoult, Michel Drancourt

Open access · greenAbstract readCase Reports
In one paragraph

Article in Journal of clinical microbiology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.8field-weighted citation impact, top 24% 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

13 citing papers in PubMed, 28 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

3 authors at 2 institutions in 1 country.

Toïdi AdékambiUnité des Rickettsies, Faculté de Médecine, 27, Université de la Méditerranée, Boulevard Jean Moulin, 13385 Marseille Cedex 05, France.
Didier Raoult
Michel Drancourt
Assistance Publique Hôpitaux de Marseille · FRCentre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Three identical isolates of new rapidly growing mycobacteria (RGM) were recovered from the bronchial aspirate and sputum from a 49-year-old woman presenting with lung lesions. The case met the American Thoracic Society criteria for the diagnosis of nontuberculous mycobacterial infection. The three isolates grew in 3 days at 24 to 42 degrees C. The 16S rRNA gene sequence analysis indicated that the sequences of the isolates were identical and shared 99.7% and 98.1% similarities with those of Mycobacterium moriokaense and Mycobacterium gadium, respectively. Partial 723-bp rpoB sequence analyses indicated that the sequences of the isolates shared 95.8% and 92.3% similarities with those of M. moriokaense and M. gadium, respectively. Polyphasic identification (including biochemical tests; antimicrobial susceptibility profiling; and hsp65, recA, and sodA gene sequence analyses, as well as G+C content determination and cell wall fatty acid composition analysis) supported the evidence that these isolates were representative of a new species. Phylogenetic analyses confirmed the close relationships of the isolates with M. moriokaense and the defined M. moriokaense group. These isolates were susceptible to the antimicrobials currently recommended for the treatment of RGM infections. These isolates differed from M. moriokaense by their susceptibility to vancomycin. We propose the name Mycobacterium barrassiae sp. nov. for this new species. The type strain is N7T (CIP 108545T and CCUG 50398T).

Indexed as

Anti-Bacterial AgentsChronic DiseaseFemaleHumansMiddle AgedMycobacteriumMycobacterium InfectionsPhylogenyPneumonia, BacterialAnti-Bacterial Agents

Identifiers

PMID17021072
PMCPMC1594754
OpenAlexW2126403638

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.