Evidence map›Paper›PMID 35102181›Full record

ArticleScientific reports2022

Detection of Mycobacterium tuberculosis multiple strains in sputum samples from patients with pulmonary tuberculosis in south western Uganda using MIRU-VNTR.

Lisa Nkatha Micheni, Kennedy Kassaza, Hellen Kinyi, Ibrahim Ntulume, Joel Bazira

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Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Use of reverse dot blot hybridization DNA-array and targeted next-generation sequencing for the detection of drug resistance in patients with tuberculosis: a prospective diagnostic accuracy study.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
  2. Article
  3. Molecular Epidemiology ofMicroorganisms · 2025
    Review
  4. Review
  5. Article
  6. Article
  7. CD4bioRxiv : the preprint server for biology · 2023
    Article
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  9. Review
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

5 authors at 3 institutions in 1 country.

Lisa Nkatha MicheniDepartment of Microbiology, Mbarara University of Science and Technology, Box 1410, Mbarara, Uganda. lisa.micheni@kiu.ac.ug.
Kennedy KassazaDepartment of Microbiology, Mbarara University of Science and Technology, Box 1410, Mbarara, Uganda.
Hellen KinyiDepartment of Biochemistry, School of Medicine, Kabale University, Box 317, Kabale, Uganda.
Ibrahim NtulumeDepartment of Microbiology and Immunology, Kampala International University Western Campus, Box 71, Bushenyi, Uganda.
Joel BaziraDepartment of Microbiology, Mbarara University of Science and Technology, Box 1410, Mbarara, Uganda. jbazira@gmail.com.
Mbarara University of Science and Technology · UGKabale University · UGKampala International University · UG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infections with multiple strains of Mycobacterium tuberculosis are now widely recognized as a common occurrence. Identification of patients infected with multiple strains provides both insight into the disease dynamics and the epidemiology of tuberculosis. Analysis of Mycobacterial Interspersed Repetitive Unit-Variable-Number Tandem Repeats (MIRU-VNTR) has been shown to be highly sensitive in detecting multiple M. tuberculosis strains even in sputum. The goal of this study was to identify cases of multiple M. tuberculosis strain infections among patients diagnosed with pulmonary tuberculosis in Southwestern Uganda and assessment of factors associated with multiple strain infections. DNA extracted directly from 78 sputum samples, each from an individual patient, was analyzed using the standard 24 loci MIRU-VNTR typing. Five (6.4%) of the 78 patients were infected with multiple strains of M. tuberculosis with all of them being the newly diagnosed cases while two-thirds of them were co-infected with HIV. Exact regression analysis projected that the natives were more likely to harbor multiple strains (OR; 0.981, 95% CI 0-7.926) as well as those with a high microbial load (OR; 0.390, 95% CI 0-3.8167). Despite these findings being not statistically significant due to the small sample size, this points to a critical component of disease dynamics that has clinical implications and emphasizes a need for a study using a larger cohort. It is also essential to study the potential factors associated with higher risk of exposure to newly diagnosed and HIV positive patients at the community level. In addition, our ability to detect multiple M. tuberculosis strains using the standard 24 loci MIRU-VNTR typing especially with allelic diversity in loci 2059 and 3171, which are excluded from the 15-locus MIRU-VNTR, lead us to recommend the use of this genotyping technique, especially in areas with tuberculosis endemicity similar to this study.

Indexed as

Bacteriological TechniquesGenotyping TechniquesInterspersed Repetitive SequencesMinisatellite RepeatsAdolescentAdultCoinfectionDNA, BacterialFemaleGenotypeHIV InfectionsHumansMaleMiddle AgedMycobacterium tuberculosisPhylogenyDNA, Bacterial

Identifiers

PMID35102181
PMCPMC8803872
OpenAlexW4212819331

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.