Evidence map›Paper›PMID 21998426›Full record

ArticleJournal of clinical microbiology2011

Performance of the MGIT TBc identification test and meta-analysis of MPT64 assays for identification of the Mycobacterium tuberculosis complex in liquid culture.

Andrew J Brent, Daisy Mugo, Robert Musyimi, Agnes Mutiso, Susan Morpeth, Michael Levin, J Anthony G Scott

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Screening and preclinical assessment of novelFrontiers in immunology · 2025
    Article
  4. Article
  5. Review and Updates on the Diagnosis of Tuberculosis.Journal of clinical medicine · 2022
    Review
  6. Article
  7. Article
  8. Effect of Mixed Infections withInfection and drug resistance · 2022
    Article
  9. Article
  10. BCG Infection due to MPT64-Negative Strain: A Diagnostic Challenge.The American journal of tropical medicine and hygiene · 2020
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Utility of a lateral flow assay for culture confirmation ofMedical journal, Armed Forces India · 2016
    Article
  16. Impact of 63-bp deletion and single-base mutation in mpt64 gene on M.tb diagnosis.International journal of clinical and experimental pathology · 2015
    Article
  17. Article
  18. Article
  19. 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

7 authors.

Andrew J BrentKEMRI-Wellcome Trust Research Programme, P.O. Box 230, 80108 Kilifi, Kenya. dr.a.brent@gmail.com
Daisy Mugo
Robert Musyimi
Agnes Mutiso
Susan Morpeth
Michael Levin
J Anthony G Scott

Funding

Wellcome Trust 081697Wellcome Trust 081835
6 · The paper itself

Abstract

Rapid MPT64-based immunochromatographic tests (MPT64 ICTs) have been developed to detect Mycobacterium tuberculosis complex (MTBC) in culture. We demonstrated the noninferiority of one commercial MTP64 ICT, the MGIT TBc identification (TBcID) test, to GenoType line probe assays for MTBC identification in positive MGIT cultures. Meta-analysis of MPT64 ICT performance for identification of MTBC in liquid culture confirmed similar very high sensitivities and specificities for all three commercial MPT64 assays for which sufficient data were available.

Indexed as

Antigens, BacterialClinical Laboratory TechniquesHumansImmunoassayMolecular Diagnostic TechniquesMycobacterium tuberculosisSensitivity and SpecificityAntigens, BacterialMPT64 protein, Mycobacterium tuberculosis

Identifiers

PMID21998426
PMCPMC3232969

What OpenQuestion holds

Textmetadata
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.