Evidence map›Paper›PMID 25373876›Full record

ReviewExpert review of molecular diagnostics2015

Evaluation of the Cepheid Xpert MTB/RIF assay.

Thomas M Shinnick, Angela M Starks, Heather L Alexander, Kenneth G Castro

Abstract readReview
In one paragraph

Review in Expert review of molecular diagnostics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Drug resistance profile ofFrontiers in microbiology · 2025
    Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Rolling Out XpertAfrican journal of laboratory medicine · 2017
    Article
  14. Connectivity of diagnostic technologies: improving surveillance and accelerating tuberculosis elimination.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2016
    Article
  15. What tuberculosis can teach us about combating multidrug-resistant Gram negative bacilli.Journal of clinical tuberculosis and other mycobacterial diseases · 2016
    Article
  16. 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

4 authors.

Thomas M ShinnickDivision of Tuberculosis Elimination, National Center for HIV, Viral Hepatitis, STD and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA 30333.
Angela M Starks
Heather L Alexander
Kenneth G Castro

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

The lack of capacity to provide laboratory confirmation of a diagnosis of tuberculosis disease (TB) is contributing to enormous gaps in the ability to find, treat and follow TB patients. WHO estimates that globally only about 57% of the notified new cases of pulmonary TB in 2012 and about 19% of rifampicin-resistant TB cases were laboratory confirmed. The Cepheid Xpert(®) MTB/RIF assay has been credited with revolutionizing laboratory testing to aid in the diagnosis of TB and rifampicin-resistant TB. This semi-automated test can detect both the causative agent of TB and mutations that confer rifampicin resistance from clinical specimens within 2 h after starting the test. In this article, we review the performance of the test, its pathway to regulatory approval and endorsement, guidelines for its use and lessons learned from the implementation of the test in low-burden, high-resource countries and in high-burden, low-resource countries.

Indexed as

Antibiotics, AntitubercularDrug Resistance, BacterialEvaluation Studies as TopicHumansMolecular Diagnostic TechniquesMycobacterium tuberculosisReal-Time Polymerase Chain ReactionRifampinTuberculosis, PulmonaryAntibiotics, AntitubercularRifampinautomated nucleic acid amplificationmolecular detection of resistancerifampicin resistancetuberculosis

Identifiers

PMID25373876
PMCPMC5875728

What OpenQuestion holds

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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.