Evidence map›Paper›PMID 24688519›Full record

ArticleBrazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]2013

Mycobacterium tuberculosis belonging to family LAM and sublineage RD(Rio): common strains in Southern Brazil for over 10 years.

Renata Oliveira Soares, Maíra Bidart de Macedo, Andrea von Groll, Pedro Eduardo Almeida da Silva

Abstract read
In one paragraph

Article in Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology], 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Molecular epidemiology ofJournal of clinical tuberculosis and other mycobacterial diseases · 2024
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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

4 authors.

Renata Oliveira SoaresUniversidade Federal do Rio Grande, Rio Grande, RS, Brazil.
Maíra Bidart de MacedoUniversidade Federal do Rio Grande, Rio Grande, RS, Brazil.
Andrea von GrollUniversidade Federal do Rio Grande, Rio Grande, RS, Brazil.
Pedro Eduardo Almeida da SilvaUniversidade Federal do Rio Grande, Rio Grande, RS, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A sublineage of Mycobacterium tuberculosis called RD(Rio) was described in 2007. Although only recently described, this strain may have been present previously in the population, and its identification in clinical isolates will elucidate bacterial transmission dynamics and host-pathogen interactions. This study evaluated the clonal diversity of the RD(Rio) sublineage in clinical isolates from Rio Grande-RS obtained between 1998 and 2001. Among the 45 samples analyzed by the MIRU-VNTR method, there were six clusters with two samples each and 33 orphan strains with unique pattern. The strains were distributed across several different lineages including LAM (34.04%), × (14.89%), Haarlem (12.77%), UgandaI (10.64%), S (4.26%), NEW-1 (2.13%) and Cameroon (2.13%); 14.89% of the strains matched to multiple lineages. RD(Rio) strains were present in 28.9% of the samples and 81.25% of the identified strains belonged to the LAM family. The high clonal diversity observed in this study is a constant feature in this region. The RD(Rio) sublineage has been in Rio Grande-RS since 1998. The continued monitoring of RD(Rio) in clinical isolates will enhance the understanding of its epidemiological significance.

Indexed as

Genetic VariationBrazilCluster AnalysisGenotypeHumansMinisatellite RepeatsMolecular EpidemiologyMolecular TypingMycobacterium tuberculosisTuberculosisMIRU-VNTRMycobacterium tuberculosisRDRio

Identifiers

PMID24688519
PMCPMC3958195

What OpenQuestion holds

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Registered trials

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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.