Evidence map›Paper›PMID 25096945›Full record

ReviewTrends in genetics : TIG2014

Whole-genome sequencing to control antimicrobial resistance.

Claudio U Köser, Matthew J Ellington, Sharon J Peacock

Abstract readReview
In one paragraph

Review in Trends in genetics : TIG, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 168 papers.

0numbers the graph read from it
0cells of the map it votes in
168citing 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

168 citing papers in PubMed.

  1. Article
  2. Beyond the Usual Suspects: EmergingInternational journal of molecular sciences · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Genome Sequencing in Infectious Disease Outbreaks.Advances in experimental medicine and biology · 2026
    Review
  14. Review
  15. Article
  16. Whole-genome analysis of extensively drug-resistantJAC-antimicrobial resistance · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. Article

108 more citing papers are in PubMed but not listed here.

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

3 authors.

Claudio U KöserDepartment of Medicine, University of Cambridge, Cambridge, UK. Electronic address: cuk21@cam.ac.uk.
Matthew J EllingtonClinical Microbiology and Public Health Laboratory, Public Health England, Cambridge, UK.
Sharon J PeacockDepartment of Medicine, University of Cambridge, Cambridge, UK; Clinical Microbiology and Public Health Laboratory, Public Health England, Cambridge, UK; Cambridge University Hospitals National Health Service Foundation Trust, Cambridge, UK; Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK.

Funding

Department of HealthWellcome Trust 098600
6 · The paper itself

Abstract

Following recent improvements in sequencing technologies, whole-genome sequencing (WGS) is positioned to become an essential tool in the control of antibiotic resistance, a major threat in modern healthcare. WGS has already found numerous applications in this area, ranging from the development of novel antibiotics and diagnostic tests through to antibiotic stewardship of currently available drugs via surveillance and the elucidation of the factors that allow the emergence and persistence of resistance. Numerous proof-of-principle studies have also highlighted the value of WGS as a tool for day-to-day infection control and, for some pathogens, as a primary diagnostic tool to detect antibiotic resistance. However, appropriate data analysis platforms will need to be developed before routine WGS can be introduced on a large scale.

Indexed as

Genome, BacterialAnti-Infective AgentsBacterial InfectionsDrug Resistance, BacterialGenomicsHumansAnti-Infective Agentsantibiotic resistancediagnosticssurveillancewhole-genome sequencing

Identifiers

PMID25096945
PMCPMC4156311

What OpenQuestion holds

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LicenceCC BY
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.