Evidence map›Paper›PMID 25523472›Full record

ArticleBMC infectious diseases2014

The Mycobacterium tuberculosis Uganda II family and resistance to first-line anti-tuberculosis drugs in Uganda.

Nicholas Ezati, Deus Lukoye, Eddie M Wampande, Kenneth Musisi, George W Kasule, Frank G J Cobelens, David P Kateete, Moses L Joloba

Abstract read
In one paragraph

Article in BMC infectious diseases, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Resistance ofHeliyon · 2019
    Article
  5. Article
  6. Article
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.

Nicholas EzatiNational Tuberculosis and Leprosy Program, Kampala, Uganda. ezatinick@yahoo.co.uk.
Deus LukoyeNational Tuberculosis and Leprosy Program, Kampala, Uganda. deuslukoye@gmail.com.
Eddie M WampandeDepartment of Medical Microbiology, Makerere University College of Health Sciences, Kampala, Uganda. wamps@covab.mak.ac.ug.
Kenneth MusisiNational Tuberculosis Reference Laboratory (NTRL), Kampala, Uganda. kenmusisi@yahoo.co.uk.
George W KasuleNational Tuberculosis Reference Laboratory (NTRL), Kampala, Uganda. kasulegw@gmail.com.
Frank G J CobelensDepartment of Global health and Amsterdam Institute for Global Heath and Development, Academic Medical Center, Amsterdam, The Netherlands KNCV Tuberculosis Foundation, The Hague, The Netherlands. f.cobelens@aighd.org.
David P KateeteDepartment of Medical Microbiology, Makerere University College of Health Sciences, Kampala, Uganda. davidkateete@gmail.com.
Moses L JolobaNational Tuberculosis Reference Laboratory (NTRL), Kampala, Uganda. mlj10@case.edu.

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
ROLE OF RHOMBOID HOMOLOGUES IN MYCOBACTERIA SIGNALINGR03AI062849 · NIAID · MAKERERE MEDICAL SCHOOL · PI JOLOBA, MOSES LUTAAKOME · 2005 to 2006
$107k
NIAID NIH HHS HHSN266200700022C/NO1-AI-70022NIAID NIH HHS N01 AI070022NIAID NIH HHS N01 AI095383NIAID NIH HHS N01-AI-95383NIAID NIH HHS R01 AI075637NIAID NIH HHS R03 AI062849
6 · The paper itself

Abstract

backgroundThe global increase in the burden of multidrug-resistant tuberculosis (MDR-TB) underscores an urgent need for data on factors involved in generation and spread of TB drug resistance. We performed molecular analyses on a representative sample of Mycobacterium tuberculosis (MTB) isolates. Basing on findings of the molecular epidemiological study in Kampala, we hypothesized that the predominant MTB strain lineage in Uganda is negatively associated with anti-TB drug resistance and we set out to test this hypothesis.

methodsWe extracted DNA from mycobacterial isolates collected from smear-positive TB patients in the national TB drug resistance survey and carried out IS6110-PCR. To identify MTB lineages/sub lineages RT-PCR SNP was performed using specific primers and hybridization probes and the 'melting curve' analysis was done to distinguish the Uganda II family from other MTB families. The primary outcome was the distribution of the Uganda II family and its associations with anti-TB drug resistance and HIV infection.

resultsOut of the 1537 patients enrolled, MTB isolates for 1001 patients were available for SNP analysis for identification of Uganda II family, of which 973 (97%) had conclusive RT-PCR results. Of these 422 (43.4%) were of the Uganda II family, mostly distributed in the south west zone (55.0%; OR = 4.6 for comparison with other zones; 95% CI 2.83-7.57; p < 0.001) but occurred in each of the other seven geographic zones at varying levels. Compared to the Uganda II family, other genotypes as a group were more likely to be resistant to any anti-TB drug (OR(adj) =2.9; 95% CI 1.63-5.06; p = 0.001) or MDR (OR(adj) 4.9; 95% CI, 1.15-20.60; p = 0.032), even after adjusting for geographic zone, patient category, sex, residence and HIV status. It was commonest in the 25-34 year age group 159/330 (48.2%). No association was observed between Uganda II family and HIV infection.

conclusionThe Uganda II family is a major cause of morbidity due to TB in all NTLP zones in Uganda. It is less likely to be resistant to anti-TB drugs than other MTB strain lineages.

Indexed as

AdolescentAdultAntitubercular AgentsBacterial ProteinsCoinfectionDrug Resistance, Multiple, BacterialFemaleGenotypeHIV InfectionsHumansMaleMicrobial Sensitivity TestsMiddle AgedMolecular EpidemiologyMycobacterium tuberculosisPolymorphism, Single NucleotideAntitubercular AgentsBacterial Proteins

Identifiers

PMID25523472
PMCPMC4367914

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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.