Evidence map›Paper›PMID 28298449›Full record

ArticleJournal of clinical microbiology2017

Real-Time Sequencing of Mycobacterium tuberculosis: Are We There Yet?

Robyn S Lee, Madhukar Pai

Abstract read
In one paragraph

Article in Journal of clinical microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Review
  2. Whole genome sequencing ofFrontiers in microbiology · 2023
    Article
  3. Review
  4. Review and Updates on the Diagnosis of Tuberculosis.Journal of clinical medicine · 2022
    Review
  5. Article
  6. Article
  7. Compilation of 10 Years of MIRU-VNTR Data: Canadian National Tuberculosis Laboratory's Experience.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2022
    Article
  8. Review
  9. Article
  10. Advances in Molecular Diagnosis of Tuberculosis.Journal of clinical microbiology · 2020
    Review
  11. Review
  12. Review
  13. What will it take to eliminate drug-resistant tuberculosis?The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2019
    Article
  14. Tuberculous meningitis: A neglected tropical disease?Neurology. Clinical practice · 2019
    Article
  15. Article
  16. Article
  17. Article
  18. 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

2 authors.

Robyn S LeeDepartment of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, Victoria, Australia.
Madhukar PaiMcGill International TB Centre, Montréal, Québec, Canada madhukar.pai@mcgill.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole-genome sequencing has taken a leading role in epidemiologic studies of tuberculosis, but thus far, its real-time clinical utility has been low, in part because of the requirement for culture. In their report in this issue, Votintseva et al. (A. A. Votintseva, P. Bradley, L. Pankhurst, C. del Ojo Elias, M. Loose, K. Nilgiriwala, A. Chatterjee, E. G. Smith, N. Sanderson, T. M. Walker, M. R. Morgan, D. H. Wyllie, A. S. Walker, T. E. A. Peto, D. W. Crook, and Z. Iqbal, J Clin Microbiol 55:1285-1298, 2017, https://doi.org/10.1128/JCM.02483-16) present a new method for extracting

Indexed as

DNA, BacterialGenome, BacterialHumansMicrobial Sensitivity TestsMycobacterium tuberculosisSequence Analysis, DNATuberculosis, PulmonaryDNA, Bacterial

Identifiers

PMID28298449
PMCPMC5405243

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.