Evidence map›Paper›PMID 24134504›Full record

ArticleBMC infectious diseases2013

Long-term dominance of Mycobacterium tuberculosis Uganda family in peri-urban Kampala-Uganda is not associated with cavitary disease.

Eddie M Wampande, Ezekiel Mupere, Sara M Debanne, Benon B Asiimwe, Mary Nsereko, Harriet Mayanja, Kathleen Eisenach, Gilla Kaplan, Henry W Boom, Sebastien Gagneux and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

  1. Pooled it
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  12. Genetics and evolution of tuberculosis pathogenesis: New perspectives and approaches.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2020
    Review
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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

11 authors at 6 institutions in 3 countries.

Eddie M Wampande
Ezekiel Mupere
Sara M Debanne
Benon B Asiimwe
Mary Nsereko
Harriet Mayanja
Kathleen Eisenach
Gilla Kaplan
Henry W Boom
Sebastien Gagneux
Moses L JolobaDepartment of Medical Microbiology, College of Health Sciences, Makerere University, Kampala, Uganda. moses.joloba@case.edu.
MUJHU Research Collaboration · UGMakerere University · UGCase Western Reserve University · USSwiss Tropical and Public Health Institute · CHUniversity Hospitals of Cleveland · USUniversity of Arkansas for Medical Sciences · US

Funding

Tuberculosis Prevention Research Unit /TBRU/-266095383N01AI095383 · NIAID · CASE WESTERN RESERVE UNIVERSITY · 2000 to 2005
$5.6M
CELL TO CELL SIGNALING IN MYCOBACTERIAR01AI075637 · NIAID · MAKERERE UNIVERSITY COLLEGE OF HEALTH SCIENCES · PI JOLOBA, MOSES LUTAAKOME · 2007 to 2010
$319k
NIAID NIH HHS 6200700022C/NO1-AI-70022NIAID NIH HHS N01-AI-95383NIAID NIH HHS R01 AI075637-01
6 · The paper itself

Abstract

backgroundPrevious studies have shown that Mycobacterium tuberculosis (MTB) Uganda family, a sub-lineage of the MTB Lineage 4, is the main cause of tuberculosis (TB) in Uganda. Using a well characterized patient population, this study sought to determine whether there are clinical and patient characteristics associated with the success of the MTB Uganda family in Kampala.

methodsA total of 1,746 MTB clinical isolates collected from 1992-2009 in a household contact study were genotyped. Genotyping was performed using Single Nucleotide Polymorphic (SNP) markers specific for the MTB Uganda family, other Lineage 4 strains, and Lineage 3, respectively. Out of 1,746 isolates, 1,213 were from patients with detailed clinical data. These data were used to seek associations between MTB lineage/sub-lineage and patient phenotypes.

resultsThree MTB lineages were found to dominate the MTB population in Kampala during the last two decades. Overall, MTB Uganda accounted for 63% (1,092/1,746) of all cases, followed by other Lineage 4 strains accounting for 22% (394/1,746), and Lineage 3 for 11% (187/1,746) of cases, respectively. Seventy-three (4 %) strains remained unclassified. Our longitudinal data showed that MTB Uganda family occurred at the highest frequency during the whole study period, followed by other Lineage 4 strains and Lineage 3. To explore whether the long-term success of MTB Uganda family was due to increased virulence, we used cavitary disease as a proxy, as this form of TB is the most transmissible. Multivariate analysis revealed that even though cavitary disease was associated with known risk factors such as smoking (adjusted odds ratio (aOR) 4.8, 95% confidence interval (CI) 3.33-6.84) and low income (aOR 2.1, 95% CI 1.47-3.01), no association was found between MTB lineage and cavitary TB.

conclusionThe MTB Uganda family has been dominating in Kampala for the last 18 years, but this long-term success is not due to increased virulence as defined by cavitary disease.

Indexed as

AdultFemaleHumansMaleMycobacterium tuberculosisPhenotypePolymorphism, Single NucleotideProspective StudiesTuberculosisUganda

Identifiers

PMID24134504
PMCPMC3853102
OpenAlexW1987246500

What OpenQuestion holds

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LicenceCC BY
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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.