Evidence map›Paper›PMID 31136575›Full record

ArticlePloS one2019

Evaluation of the tuberculosis culture color plate test for rapid detection of drug susceptible and drug-resistant Mycobacterium tuberculosis in a resource-limited setting, Addis Ababa, Ethiopia.

Biruk Mekonnen, Adane Mihret, Muluwork Getahun, Tsegaye Hailu, Sabeen Sidiki, Holden V Kelley, Julia M Scordo, W Garrett Hunt, Xueliang Pan, Joan-Miquel Balada-Llasat and 6 more

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 19% 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, 16 citations in OpenAlex.

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  6. New Developments and Insights in the Improvement ofCurrent epidemiology reports · 2021
    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

16 authors at 7 institutions in 4 countries.

Biruk MekonnenDepartment of Microbiology, Immunology and Parasitology, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.ORCID 0000-0001-6114-8656
Adane MihretArmauer Hansen Research Institute (AHRI), Addis Ababa, Ethiopia.
Muluwork GetahunEthiopia Public Health Institute (EPHI), Addis Ababa, Ethiopia.
Tsegaye HailuArmauer Hansen Research Institute (AHRI), Addis Ababa, Ethiopia.
Sabeen SidikiDepartment of Microbial Infection and Immunity, College of Medicine, The Ohio State University, Columbus, Ohio, United States of America.
Holden V KelleyDepartment of Microbial Infection and Immunity, College of Medicine, The Ohio State University, Columbus, Ohio, United States of America.
Julia M ScordoDepartment of Microbial Infection and Immunity, College of Medicine, The Ohio State University, Columbus, Ohio, United States of America.
W Garrett HuntNationwide Children's Hospital, The Ohio State University, Columbus, Ohio, United States of America.
Xueliang PanCenter for Biostatistics, College of Medicine, The Ohio State University, Columbus, Ohio, United States of America.
Joan-Miquel Balada-LlasatDepartment of Pathology, College of Medicine, The Ohio State University, Columbus, Ohio, United States of America.
Wondwossen GebreyesGlobal One Health Initiative (GOHi), The Ohio State University, Columbus, Ohio, United States of America.
Carlton A EvansInfectious Diseases & Immunity, Imperial College London, and Wellcome Trust Imperial College Centre for Global Health Research, London, United Kingdom.
Abraham AseffaArmauer Hansen Research Institute (AHRI), Addis Ababa, Ethiopia.
Jordi B TorrellesDepartment of Microbial Infection and Immunity, College of Medicine, The Ohio State University, Columbus, Ohio, United States of America.
Shu-Hua WangGlobal One Health Initiative (GOHi), The Ohio State University, Columbus, Ohio, United States of America.
Tamrat AbebeDepartment of Microbiology, Immunology and Parasitology, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
The Ohio State University · USArmauer Hansen Research Institute · ETOhio Department of Health · USAddis Ababa University · ETEthiopian Public Health Institute · ETNationwide Children's Hospital · USUniversidad Peruana Cayetano Heredia · PE

Funding

The Ohio State University Center for clinical and Translational ScienceUL1TR001070 · NCATS · OHIO STATE UNIVERSITY · PI JACKSON, REBECCA D · 2013 to 2017
$22.6M
Ethiopia-Emory TB Research Training ProgramD43TW009127 · FIC · EMORY UNIVERSITY · PI HENRY M BLUMBERG, Kidist Bobosha · 2013 to 2026
$3.4M
FIC NIH HHS D43 TW009127Medical Research Council MR/K007467/1NCATS NIH HHS UL1 TR001070
6 · The paper itself

Abstract

Timely diagnosis of tuberculosis (TB) is limited in Ethiopia. We evaluated the performance of a low technology, thin layer agar, Mycobacterium tuberculosis (M.tb) culture color plate (TB-CX) test with concurrent drug susceptibility testing (DST) to isoniazid (INH), rifampin (RIF), and pyrazinamide (PZA) directly from sputum specimens. Patients undergoing examination for TB and multidrug-resistant (MDR)-TB were enrolled in Addis Ababa, Ethiopia from March 2016 to February 2017. All subjects received a GeneXpert MTB/RIF PCR test. TB-CX test results were compared to reference Löwenstein-Jensen (LJ) culture for M.tb detection and DST for susceptibility to INH and RIF. Kappa statistic was applied to test agreement between results for TB-CX test and the reference methods, a cut-off Kappa value of 0.75 was considered as high level of agreements. A total of 137 participants were analyzed: 88 (64%) were new TB cases, 49 (36%) were re-treatment cases. The TB-CX test detected M.tb and DST in an average of 13 days compared to 50 days for the conventional DST result. The sensitivity and specificity of the TB-CX test for detecting M.tb were 94% and 98%, respectively (concordance, 96%; kappa 0.91). The sensitivity of the TB-CX test to detect drug resistance to INH, RIF, and MDR-TB was 91%, 100%, and 90% respectively. The specificity of the TB-CX test for detecting INH, RIF, and MDR-TB was 94%, 40%, and 94% respectively. Overall agreement between TB-CX test and LJ DST for detection of MDR-TB was 93%. The TB-CX test showed strong agreement with the GeneXpert test for detecting M.tb (89%, kappa 0.76) but low agreement for the detection of RIF resistance (57%, kappa 0.28). The TB-CX test was found to be a good alternative method for screening of TB and selective drug resistant-TB in a timely and cost-efficient manner.

Indexed as

Culture TechniquesDrug Resistance, BacterialAdolescentAdultAgedAged, 80 and overAntitubercular AgentsChildColorEthiopiaFemaleHealth ResourcesHumansMaleMicrobial Sensitivity TestsMiddle AgedAntitubercular Agents

Identifiers

PMID31136575
PMCPMC6538369
OpenAlexW2947462528

What OpenQuestion holds

Textmetadata
LicenceCC0
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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.