Evidence map›Paper›PMID 25948063›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2015

Genotypic and Spatial Analysis of Mycobacterium tuberculosis Transmission in a High-Incidence Urban Setting.

Fabíola Karla Correa Ribeiro, William Pan, Adelmo Bertolde, Solange Alves Vinhas, Renata Lyrio Peres, Lee Riley, Moisés Palaci, Ethel Leonor Maciel

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Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 pooled it
–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

23 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  15. Genetic Diversity and Molecular Epidemiology ofThe American journal of tropical medicine and hygiene · 2019
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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

8 authors.

Fabíola Karla Correa RibeiroGraduate Program in Infectious Diseases, Federal University of Espírito Santo, Vitória, Brazil.
William PanDuke Global Health Institute and Nicholas School of Environment, Duke University, Durham, North Carolina.
Adelmo BertoldeDepartment of Statistics, Federal University of Espírito Santo, Vitória, Brazil.
Solange Alves VinhasGraduate Program in Infectious Diseases, Federal University of Espírito Santo, Vitória, Brazil.
Renata Lyrio PeresGraduate Program in Infectious Diseases, Federal University of Espírito Santo, Vitória, Brazil.
Lee RileyDivision of Infectious Disease and Vaccinology, School of Public Health, University of California, Berkeley.
Moisés PalaciGraduate Program in Infectious Diseases, Federal University of Espírito Santo, Vitória, Brazil.
Ethel Leonor MacielGraduate Program in Public Health, Federal University of Espírito Santo, Vitória, Brazil.

Funding

Innovative approaches for tuberculosis control in BrazilU2RTW006883 · FIC · FEDERAL UNIVERSITY OF RIO DE JANEIRO · PI LAPA E SILVA, JOSE ROBERTO · 2005 to 2015
$3.5M
FIC NIH HHS 5 U2R TW006883-02FIC NIH HHS U2R TW006883
6 · The paper itself

Abstract

backgroundGenotyping Mycobacterium tuberculosis isolates allows study of dynamics of tuberculosis transmission, while geoprocessing allows spatial analysis of clinical and epidemiological data. Here, genotyping data and spatial analysis were combined to characterize tuberculosis transmission in Vitória, Brazil, to identify distinct neighborhoods and risk factors associated with recent tuberculosis transmission.

methodsFrom 2003 to 2007, 503 isolates were genotyped by IS6110 restriction fragment length polymorphism (RFLP) and spoligotyping. The analysis included kernel density estimation, K-function analysis, and a t test distance analysis. Mycobacterium tuberculosis isolates belonging to identical RFLP patterns (clusters) were considered to represent recent tuberculosis infection (cases).

resultsOf 503 genotyped isolates, 242 (48%) were categorized into 70 distinct clusters belonging to 12 RFLP families. The proportion of recent transmission was 34.2%. Kernel density maps indicated 3 areas of intense concentration of cases. K-function analysis of the largest RFLP clusters and families showed they co-localized in space. The distance analysis confirmed these results and demonstrated that unique strain patterns (controls) randomly distributed in space. A logit model identified young age, positive smear test, and lower Index of Quality of Urban Municipality as risk factors for recent transmission. The predicted probabilities for each neighborhood were mapped and identified neighborhoods with high risk for recent transmission.

conclusionsSpatial and genotypic clustering of M. tuberculosis isolates revealed ongoing active transmission of tuberculosis caused by a small subset of strains in specific neighborhoods of the city. Such information provides an opportunity to target tuberculosis transmission control, such as through rigorous and more focused contact investigation programs.

Indexed as

AdolescentAdultAgedAged, 80 and overAlgorithmsBrazilChildChild, PreschoolFemaleHumansInfantMaleMiddle AgedMolecular EpidemiologyMycobacterium tuberculosisSpatial Analysismolecular epidemiologyspatial analysistransmissiontuberculosis

Identifiers

PMID25948063
PMCPMC4626752

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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.