Evidence map›Paper›PMID 25884439›Full record

ArticleBMC infectious diseases2015

Use of real time polymerase chain reaction for detection of M. tuberculosis, M. avium and M. kansasii from clinical specimens.

Arnold Bainomugisa, Eddie Wampande, Chris Muchwa, Joseph Akol, Paul Mubiri, Henry Ssenyungule, Enock Matovu, Sam Ogwang, Moses Joloba

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in BMC infectious diseases, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Prevalence ofFrontiers in microbiology · 2024
    Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Mycobacterium kansasii.Microbiology spectrum · 2017
    Review
  7. 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

9 authors at 2 institutions in 2 countries.

Arnold BainomugisaJoint Clinical Research Centre, P.O. Box 10005, Kampala, Lubowa, Uganda. arnoldbaino@yahoo.co.uk.
Eddie WampandeDepartment of Medical Microbiology, College of Health sciences, Makerere University, Kampala, Uganda. wampande@covabs.mak.ac.ug.
Chris MuchwaJoint Clinical Research Centre, P.O. Box 10005, Kampala, Lubowa, Uganda. muchwachris@yahoo.com.
Joseph AkolJoint Clinical Research Centre, P.O. Box 10005, Kampala, Lubowa, Uganda. jpakol01@gmail.com.
Paul MubiriUganda-CASE Research Collaboration, Kampala, Uganda. mubirip@gmail.com.
Henry SsenyunguleJoint Clinical Research Centre, P.O. Box 10005, Kampala, Lubowa, Uganda. henricosk705@yahoo.com.
Enock MatovuDepartment of Bio molecular Resources and Bio laboratory Sciences, College of Veterinary Medicine, Animal resource and Bio-security, Kampala, Uganda. matovue@vetmed.mak.ac.ug.
Sam OgwangJoint Clinical Research Centre, P.O. Box 10005, Kampala, Lubowa, Uganda. sxo81@case.edu.
Moses JolobaDepartment of Medical Microbiology, College of Health sciences, Makerere University, Kampala, Uganda. mlj10@case.edu.
Infectious Diseases Research Collaboration · UGBio-Medical Science (South Korea) · KR

Funding

UGANDA HIV/TB COHRE TRAiNING PROGRAMU2RTW006879 · FIC · JOINT CLINICAL RESEARCH CENTER · PI MUGYENYI, PETER N · 2004 to 2013
$3.6M
FIC NIH HHS 2 U2R TW0006879FIC NIH HHS U2R TW006879
6 · The paper itself

Abstract

backgroundThe incidence of M. tuberculosis (MTB) and non tuberculous Mycobacterium species (NTMs) like M. avium and M. kansasii has increased due to Human Immunodeficiency Virus (HIV) epidemic. Therefore accurate, rapid and cost effective methods for the identification of these NTMs and MTB are greatly needed for appropriate TB management. Thus in this study we evaluated the performance of Lightcycler(®) Mycobacterium detection assay to detect MTB, M. avium and M. kansasii in sputum specimens.

methodsA total of 241 baseline minimally processed sputum specimens from individual adult TB suspected patients were analyzed by Mycobacterium detection assay (Real-time-PCR) on a LightCycler 480(®) while using liquid culture as a reference standard.

resultsReal time PCR had a sensitivity of 100% (95% CI 96-100) and 100% (CI 19-100) for detection of MTB and M. avium respectively. Additionally the assay had a specificity of 99% (95% CI 96-99) and 95% (95% CI 91-97) for identification of MTB and M. avium respectively. The positive predictive value (PPV) for Real time PCR to identify MTB and M. avium among the specimens was 98% (95% CI 94-99) and 15% (95% CI 2-45) respectively. The kappa statistics for Real time PCR to identify MTB and M. avium was 0.9 (95% CI 0.9-1.0) and 0.3 (95% CI-0.03-0.5) respectively. The median time to detection for Real time PCR assay was 2 hours while overall median time to detection for MGIT-positive cultures was 8 days. The sample unit cost for Real time PCR was $ 12 compared to $ 20 for the reference liquid culture.

conclusionThe Light cycler(®) Mycobacterium detection assay rapidly and correctly identified MTB and M avium thus has the potential to be adopted in a clinical setting.

Indexed as

HIV InfectionsHumansMycobacteriumReal-Time Polymerase Chain ReactionSensitivity and SpecificityTuberculosis, PulmonaryUganda

Identifiers

PMID25884439
PMCPMC4424587
OpenAlexW2061856033

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.