Evidence map›Paper›PMID 25810419›Full record

ReviewClinical microbiology reviews2015

A microbiological revolution meets an ancient disease: improving the management of tuberculosis with genomics.

Marta Wlodarska, James C Johnston, Jennifer L Gardy, Patrick Tang

Abstract readReview
In one paragraph

Review in Clinical microbiology reviews, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Evolution of Drug-ResistantFrontiers in microbiology · 2021
    Review
  6. Article
  7. Article
  8. Article
  9. Observational
  10. Article
  11. Article
  12. Genetic characterization ofInfection and drug resistance · 2018
    Article
  13. Article
  14. Molecular Characterization ofThe American journal of tropical medicine and hygiene · 2017
    Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Review
  20. 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.

Marta WlodarskaThe Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA Novartis Institutes for Biomedical Research, Cambridge, Massachusetts, USA.
James C JohnstonDepartment of Medicine, University of British Columbia, Vancouver, British Columbia, Canada British Columbia Centre for Disease Control, Vancouver, British Columbia, Canada.
Jennifer L GardyBritish Columbia Centre for Disease Control, Vancouver, British Columbia, Canada School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada.
Patrick TangBritish Columbia Centre for Disease Control, Vancouver, British Columbia, Canada Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada Patrick.Tang@bccdc.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis (TB) is an ancient disease with an enormous global impact. Despite declining global incidence, the diagnosis, phenotyping, and epidemiological investigation of TB require significant clinical microbiology laboratory resources. Current methods for the detection and characterization of Mycobacterium tuberculosis consist of a series of laboratory tests varying in speed and performance, each of which yields incremental information about the disease. Since the sequencing of the first M. tuberculosis genome in 1998, genomic tools have aided in the diagnosis, treatment, and control of TB. Here we summarize genomics-based methods that are positioned to be introduced in the modern clinical TB laboratory, and we highlight how recent advances in genomics will improve the detection of antibiotic resistance-conferring mutations and the understanding of M. tuberculosis transmission dynamics and epidemiology. We imagine the future TB clinic as one that relies heavily on genomic interrogation of the M. tuberculosis isolate, allowing for more rapid diagnosis of TB and real-time monitoring of outbreak emergence.

Indexed as

GenomicsDrug Resistance, BacterialHost-Pathogen InteractionsHumansMolecular EpidemiologyMutationMycobacterium tuberculosisTuberculosis

Identifiers

PMID25810419
PMCPMC4402953

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.