Evidence map›Paper›PMID 19213699›Full record

ArticleJournal of clinical microbiology2009

Major Mycobacterium tuberculosis lineages associate with patient country of origin.

Michael B Reed, Victoria K Pichler, Fiona McIntosh, Alicia Mattia, Ashley Fallow, Speranza Masala, Pilar Domenech, Alice Zwerling, Louise Thibert, Dick Menzies and 2 more

Abstract read
In one paragraph

Article in Journal of clinical microbiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed
7.6field-weighted citation impact, top 2% 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

92 citing papers in PubMed, 184 citations in OpenAlex.

  1. Trial
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  18. Biodiversity ofMicroorganisms · 2022
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  19. Article
  20. Review

32 more citing papers are in PubMed but not listed here.

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

12 authors at 3 institutions in 1 country.

Michael B ReedDepartment of Medicine, Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada. michael.reed@mcgill.ca
Victoria K Pichler
Fiona McIntosh
Alicia Mattia
Ashley Fallow
Speranza Masala
Pilar Domenech
Alice Zwerling
Louise Thibert
Dick Menzies
Kevin Schwartzman
Marcel A Behr
McGill University Health Centre · CAMcGill University · CASte. Anne's Hospital · CA

Funding

CIHR 82931
6 · The paper itself

Abstract

Over recent years, there has been an increasing acknowledgment of the diversity that exists among Mycobacterium tuberculosis clinical isolates. To facilitate comparative studies aimed at deciphering the relevance of this diversity to human disease, an unambiguous and easily interpretable method of strain classification is required. Presently, the most effective means of assigning isolates into a series of unambiguous lineages is the method of Gagneux et al. (S. Gagneux et al., Proc. Natl. Acad. Sci. USA 103:2869-2873, 2006) that involves the PCR-based detection of large sequence polymorphisms (LSPs). In this manner, isolates are classified into six major lineages, the majority of which display a high degree of geographic restriction. Here we describe an independent replicate of the Gagneux study carried out on 798 isolates collected over a 6-year period from mostly foreign-born patients resident on the island of Montreal, Canada. The original trends in terms of bacterial genotype and patient ethnicity are remarkably conserved within this Montreal cohort, even though the patient distributions between the two populations are quite distinct. In parallel with the LSP analysis, we also demonstrate that "clustered" tuberculosis (TB) cases defined through restriction fragment length polymorphism (RFLP) analysis (for isolates with >or=6 IS6110 copies) or RFLP in combination with spoligotyping (for isolates with <6 IS6110 copies) do not stray across the LSP-defined lineage boundaries. However, our data also demonstrate the poor discriminatory power of either RFLP or spoligotyping alone for these low-IS6110-copy-number isolates. We believe that this independent validation of the LSP method should encourage researchers to adopt this system in investigations aimed at elucidating the role of strain variation in TB.

Indexed as

Bacterial Typing TechniquesAdolescentAdultAgedAged, 80 and overCanadaChildChild, PreschoolCluster AnalysisDNA, BacterialDNA FingerprintingDNA Transposable ElementsEthnicityFemaleGenotypeHumansDNA, BacterialDNA Transposable Elements

Identifiers

PMID19213699
PMCPMC2668307
OpenAlexW2167286853

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.