Evidence map›Paper›PMID 26887928›Full record

ArticleBMC research notes2016

Increased isolation of nontuberculous mycobacteria among TB suspects in Northeastern, Tanzania: public health and diagnostic implications for control programmes.

Abubakar S Hoza, Sayoki G M Mfinanga, Arne C Rodloff, Irmgard Moser, Brigitte König

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 2 pooled it
6.4field-weighted citation impact, top 3% 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

41 citing papers in PubMed, 2 syntheses or guidelines pooled it, 84 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Isolation of Nontuberculous Mycobacteria in Southeast Asian and African Human Immunodeficiency Virus-infected Children With Suspected Tuberculosis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2019
    Trial
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  11. Journal of clinical tuberculosis and other mycobacterial diseases · 2024
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  14. Genetic diversities ofAccess microbiology · 2024
    Article
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  16. 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

5 authors at 3 institutions in 2 countries.

Abubakar S HozaInstitute of Medical Microbiology and Epidemiology of Infectious Diseases, University of Leipzig, Liebigstrasse 21, 04103, Leipzig, Germany. abshoza@gmail.com.
Sayoki G M MfinangaMuhimbili Centre, National Institute for Medical Research (NIMR), Dar es Salaam, Tanzania. gsmfinanga@yahoo.com.
Arne C RodloffInstitute of Medical Microbiology and Epidemiology of Infectious Diseases, University of Leipzig, Liebigstrasse 21, 04103, Leipzig, Germany. acr@medizin.uni-leipzig.de.
Irmgard MoserFederal Research for Animal Health, Friedrich Loeffler Institut, Jena, Germany. irmgard.moser@fli.bund.de.
Brigitte KönigInstitute of Medical Microbiology and Epidemiology of Infectious Diseases, University of Leipzig, Liebigstrasse 21, 04103, Leipzig, Germany. brigitte.koenig@medizin.uni-leipzig.de.
Leipzig University · DEFriedrich-Loeffler-Institut · DENational Institute for Medical Research · TZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-tuberculous mycobacteria (NTM) are increasingly reported worldwide associated with human disease. Defining the significance of NTM in settings with endemic tuberculosis (TB) requires the discrimination of NTM from TB in suspect patients. Correct and timely identification of NTM will impact both therapy and epidemiology of TB and TB-like diseases. The present study aimed at determining the frequency and diversity of NTM among TB suspects in northeastern Tanzania.

methodsA cross-sectional study was conducted between November 2012 through January 2013. Seven hundred and forty-four sputum samples were collected from 372 TB suspects. Detection was done by using phenotypic, GenoType(®) Mycobacterium CM/AS kits, 16S rRNA and hsp65 gene sequencing for identification of isolates not identified by Hain kits. Binary regression model was used to analyse the predictors of NTM detection.

resultsThe prevalence of NTM was 9.7% of the mycobacterial isolates. Out of 36 patients with confirmed NTM infection, 12 were HIV infected with HIV being a significant predictor of NTM detection (P < 0.001). Co-infection with Mycobacterium tuberculosis (M. tb) was found in five patients. Twenty-eight NTM isolates were identified using GenoType(®) Mycobacterium CM/AS and eight isolates could not be identified. Identified species included M. gordonae and M. interjectum 6 (16.7%), M. intracelullare 4 (11.1%), M. avium spp. and M. fortuitum 2 (5.5%), M. kansasii, M. lentiflavum, M. simiae, M. celatum, M. marinum 1 (2.8%) each. Of isolates not identified to subspecies level, we identified M. kumamotonense (2), M. intracellulare/kansasii, M. intermedium/triplex, M. acapulcensis/flavescens, M. stomatepiae, M. colombiense and M. terrae complex (1) each using 16S rRNA sequencing. Additionally, hsp65 gene sequencing identified M. kumamotonense, M. scrofulaceum/M. avium, M. avium, M. flavescens/novocastrense, M. kumamotonense/hiberniae, M. lentiflavum, M. colombiense/M. avium and M. kumamotonense/terrae/hiberniae (1) each. Results of the 16S rRNA and hsp65 gene sequencing were concordant in three and discordant in five isolates not identified by GenoType(®) Mycobacterium CM/AS.

conclusionNTM infections may play a vital role in causing lung disease and impact management of TB in endemic settings. GenoType(®) Mycobacterium CM/AS represents a useful tool to identify clinical NTM infections. However, 16S rRNA gene sequencing should be thought for confirmatory diagnosis of the clinical isolates. Due to the complexity and inconsistence of NTM identification, we recommend diagnosis of NTM infections be centralized by strengthening and setting up quality national and regional infrastructure.

Indexed as

AdolescentAdultAgedAged, 80 and overBacterial ProteinsBacterial Typing TechniquesChaperonin 60ChildCoinfectionCommunicable Disease ControlCross-Sectional StudiesDiagnosis, DifferentialFemaleHIVHIV InfectionsHumansBacterial ProteinsChaperonin 60heat-shock protein 65, MycobacteriumRNA, Ribosomal, 16S

Identifiers

PMID26887928
PMCPMC4756402
OpenAlexW2280010012

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.