Evidence map›Paper›PMID 25673793›Full record

ArticleJournal of clinical microbiology2015

Clinical application of whole-genome sequencing to inform treatment for multidrug-resistant tuberculosis cases.

Adam A Witney, Katherine A Gould, Amber Arnold, David Coleman, Rachel Delgado, Jasvir Dhillon, Marcus J Pond, Cassie F Pope, Tim D Planche, Neil G Stoker and 4 more

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 1 pooled it
9.5field-weighted citation impact, top 1% of its field
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

60 citing papers in PubMed, 1 synthesis or guideline pooled it, 107 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Within-host evolution of drug tolerance inJAC-antimicrobial resistance · 2026
    Article
  5. Article
  6. Tuberculosis: An Ongoing Global Threat.Advances in experimental medicine and biology · 2026
    Review
  7. Article
  8. Can lipid body-positive rates ofFrontiers in immunology · 2025
    Article
  9. Article
  10. The T120P or M172V mutation onEmerging microbes & infections · 2024
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  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

14 authors at 3 institutions in 1 country.

Adam A WitneyInstitute for Infection and Immunity, St. George's University of London, London, United Kingdom.
Katherine A GouldInstitute for Infection and Immunity, St. George's University of London, London, United Kingdom.
Amber ArnoldClinical Infection Unit, St. George's Healthcare NHS Trust, London, United Kingdom.
David ColemanInstitute for Infection and Immunity, St. George's University of London, London, United Kingdom.
Rachel DelgadoDepartment of Microbiology, St. George's Healthcare NHS Trust, London, United Kingdom.
Jasvir DhillonInstitute for Infection and Immunity, St. George's University of London, London, United Kingdom.
Marcus J PondInstitute for Infection and Immunity, St. George's University of London, London, United Kingdom.
Cassie F PopeDepartment of Microbiology, St. George's Healthcare NHS Trust, London, United Kingdom.
Tim D PlancheInstitute for Infection and Immunity, St. George's University of London, London, United Kingdom Department of Microbiology, St. George's Healthcare NHS Trust, London, United Kingdom.
Neil G StokerInstitute for Infection and Immunity, St. George's University of London, London, United Kingdom.
Catherine A CosgroveInstitute for Infection and Immunity, St. George's University of London, London, United Kingdom Clinical Infection Unit, St. George's Healthcare NHS Trust, London, United Kingdom.
Philip D ButcherInstitute for Infection and Immunity, St. George's University of London, London, United Kingdom.
Thomas S HarrisonInstitute for Infection and Immunity, St. George's University of London, London, United Kingdom Clinical Infection Unit, St. George's Healthcare NHS Trust, London, United Kingdom.
Jason HindsInstitute for Infection and Immunity, St. George's University of London, London, United Kingdom jhinds@sgul.ac.uk.
St George's, University of London · GBSouth West London and St George's Mental Health NHS Trust · GBSt George’s University Hospitals NHS Foundation Trust · GB

Funding

Wellcome TrustWellcome Trust 086547
6 · The paper itself

Abstract

The treatment of drug-resistant tuberculosis cases is challenging, as drug options are limited, and the existing diagnostics are inadequate. Whole-genome sequencing (WGS) has been used in a clinical setting to investigate six cases of suspected extensively drug-resistant Mycobacterium tuberculosis (XDR-TB) encountered at a London teaching hospital between 2008 and 2014. Sixteen isolates from six suspected XDR-TB cases were sequenced; five cases were analyzed in a clinically relevant time frame, with one case sequenced retrospectively. WGS identified mutations in the M. tuberculosis genes associated with antibiotic resistance that are likely to be responsible for the phenotypic resistance. Thus, an evidence base was developed to inform the clinical decisions made around antibiotic treatment over prolonged periods. All strains in this study belonged to the East Asian (Beijing) lineage, and the strain relatedness was consistent with the expectations from the case histories, confirming one contact transmission event. We demonstrate that WGS data can be produced in a clinically relevant time scale some weeks before drug sensitivity testing (DST) data are available, and they actively help clinical decision-making through the assessment of whether an isolate (i) has a particular resistance mutation where there are absent or contradictory DST results, (ii) has no further resistance markers and therefore is unlikely to be XDR, or (iii) is identical to an isolate of known resistance (i.e., a likely transmission event). A small number of discrepancies between the genotypic predictions and phenotypic DST results are discussed in the wider context of the interpretation and reporting of WGS results.

Indexed as

Genome, BacterialBacteriological TechniquesExtensively Drug-Resistant TuberculosisGenes, BacterialGenotypeHospitals, TeachingHumansLondonMolecular Diagnostic TechniquesMutationMycobacterium tuberculosisSequence Analysis, DNATime Factors

Identifiers

PMID25673793
PMCPMC4400773
OpenAlexW2114323119

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.