Evidence map›Paper›PMID 16704831›Full record

ArticleEmerging infectious diseases2006

Mycobacterium tuberculosis and rifampin resistance, United Kingdom.

I-Ching Sam, Francis Drobniewski, Philip More, Melanie Kemp, Timothy Brown

Abstract read
In one paragraph

Article in Emerging infectious diseases, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Rifampicin-resistantInfection and drug resistance · 2017
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. MODS accreditation process for regional reference laboratories in Peru: validation by GenoType® MTBDRplus.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2010
    Article
  9. Article
  10. Article
  11. 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

5 authors.

I-Ching SamHealth Protection Agency, National Mycobacterium Reference Unit, Institute of Cell and Molecular Science, Barts and the London School of Medicine, 2 Newark Street, London, United Kingdom.
Francis Drobniewski
Philip More
Melanie Kemp
Timothy Brown

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The United Kingdom Health Protection Agency Mycobacterium Reference Unit offers a national "Fastrack" molecular service for detecting Mycobacterium tuberculosis complex (MTBC) and rifampin resistance by using the INNO-LiPA Rif.TB assay. We analyzed the service in a routine, nontrial context of 1,997 primary clinical specimens, including 658 nonrespiratory specimens. The overall adjusted concordance, sensitivity, specificity, positive predictive value, and negative predictive value for detecting MTBC were 91.2%, 85.2%, 96.2%, 95.7%, and 86.7%, respectively (unadjusted, 86.7%, 85.2%, 88.2%, 86.9%, and 86.7%), when false-positive samples from patients (n = 83) with a known microbiologic diagnosis of MTBC or patients receiving current or recent antituberculous treatment were excluded. The parameters for detecting rifampin resistance were 99.1%, 95.0%, 99.6%, 92.7%, and 99.7%, respectively. The assay enabled earlier diagnosis of MTBC and rifampin resistance (15.2 days) compared with culture-based techniques (30.7 days).

Indexed as

Antibiotics, AntitubercularBacterial Typing TechniquesDrug Resistance, BacterialHumansMicrobial Sensitivity TestsMycobacterium tuberculosisPredictive Value of TestsReagent Kits, DiagnosticRifampinSensitivity and SpecificityTime FactorsTuberculosisUnited KingdomAntibiotics, AntitubercularReagent Kits, DiagnosticRifampin

Identifiers

PMID16704831
PMCPMC3374436

What OpenQuestion holds

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LicenceCC BY
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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.