Evidence map›Paper›PMID 26672018›Full record

ArticleGenome research2016

Building a genomic framework for prospective MRSA surveillance in the United Kingdom and the Republic of Ireland.

Sandra Reuter, M Estée Török, Matthew T G Holden, Rosy Reynolds, Kathy E Raven, Beth Blane, Tjibbe Donker, Stephen D Bentley, David M Aanensen, Hajo Grundmann and 4 more

Erratum issuedAbstract read
In one paragraph

Article in Genome research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Methicillin-ResistantIranian journal of public health · 2023
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Platanus_B: an accurate de novo assembler for bacterial genomes using an iterative error-removal process.DNA research : an international journal for rapid publication of reports on genes and genomes · 2020
    Article
  15. Article
  16. Review
  17. Observational
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Sandra ReuterDepartment of Medicine, University of Cambridge, Cambridge CB2 0QQ, United Kingdom; Pathogen Genomics, Wellcome Trust Sanger Institute, Hinxton CB10 1SA, United Kingdom;
M Estée TörökDepartment of Medicine, University of Cambridge, Cambridge CB2 0QQ, United Kingdom; Public Health England, Microbiology Services Division, Addenbrooke's Hospital, Cambridge CB2 0QW, United Kingdom; Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, United Kingdom;
Matthew T G HoldenPathogen Genomics, Wellcome Trust Sanger Institute, Hinxton CB10 1SA, United Kingdom; School of Medicine, University of St. Andrews, St. Andrews KY16 9TF, United Kingdom;
Rosy ReynoldsBritish Society for Antimicrobial Chemotherapy, B1 3NJ, United Kingdom; North Bristol NHS Trust, Bristol BS10 5NB, United Kingdom;
Kathy E RavenDepartment of Medicine, University of Cambridge, Cambridge CB2 0QQ, United Kingdom;
Beth BlaneDepartment of Medicine, University of Cambridge, Cambridge CB2 0QQ, United Kingdom;
Tjibbe DonkerDepartment of Medical Microbiology, University Medical Centre Groningen, Rijksuniversiteit Groningen, 9713 GZ Groningen, The Netherlands;
Stephen D BentleyPathogen Genomics, Wellcome Trust Sanger Institute, Hinxton CB10 1SA, United Kingdom;
David M AanensenFaculty of Medicine, School of Public Health, Imperial College, London W2 1PG, United Kingdom;
Hajo GrundmannDepartment of Medical Microbiology, University Medical Centre Groningen, Rijksuniversiteit Groningen, 9713 GZ Groningen, The Netherlands; Department of Hospital Epidemiology, Institute for Environmental Medicine and Hospital Hygiene, University Hospital Freiburg, 79106 Freiburg, Germany;
Edward J FeilThe Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath BA2 7AY, United Kingdom;
Brian G SprattFaculty of Medicine, School of Public Health, Imperial College, London W2 1PG, United Kingdom;
Julian ParkhillPathogen Genomics, Wellcome Trust Sanger Institute, Hinxton CB10 1SA, United Kingdom;
Sharon J PeacockDepartment of Medicine, University of Cambridge, Cambridge CB2 0QQ, United Kingdom; Pathogen Genomics, Wellcome Trust Sanger Institute, Hinxton CB10 1SA, United Kingdom; Public Health England, Microbiology Services Division, Addenbrooke's Hospital, Cambridge CB2 0QW, United Kingdom; Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, United Kingdom; London School of Hygiene and Tropical Medicine, London, WC1E 7HT, United Kingdom.

Funding

Biotechnology and Biological Sciences Research CouncilDepartment of HealthMedical Research Council G1000803Medical Research Council MR/N029399/1Wellcome Trust 089472Wellcome Trust 098051
6 · The paper itself

Abstract

The correct interpretation of microbial sequencing data applied to surveillance and outbreak investigation depends on accessible genomic databases to provide vital genetic context. Our aim was to construct and describe a United Kingdom MRSA database containing over 1000 methicillin-resistant Staphylococcus aureus (MRSA) genomes drawn from England, Northern Ireland, Wales, Scotland, and the Republic of Ireland over a decade. We sequenced 1013 MRSA submitted to the British Society for Antimicrobial Chemotherapy by 46 laboratories between 2001 and 2010. Each isolate was assigned to a regional healthcare referral network in England and was otherwise grouped based on country of origin. Phylogenetic reconstructions were used to contextualize MRSA outbreak investigations and to detect the spread of resistance. The majority of isolates (n = 783, 77%) belonged to CC22, which contains the dominant United Kingdom epidemic clone (EMRSA-15). There was marked geographic structuring of EMRSA-15, consistent with widespread dissemination prior to the sampling decade followed by local diversification. The addition of MRSA genomes from two outbreaks and one pseudo-outbreak demonstrated the certainty with which outbreaks could be confirmed or refuted. We identified local and regional differences in antibiotic resistance profiles, with examples of local expansion, as well as widespread circulation of mobile genetic elements across the bacterial population. We have generated a resource for the future surveillance and outbreak investigation of MRSA in the United Kingdom and Ireland and have shown the value of this during outbreak investigation and tracking of antimicrobial resistance.

Indexed as

Disease OutbreaksEpidemiological MonitoringGenome, BacterialHumansIrelandMethicillin ResistanceMethicillin-Resistant Staphylococcus aureusMolecular Diagnostic TechniquesPhylogenySequence Analysis, DNAStaphylococcal InfectionsUnited Kingdom

Identifiers

PMID26672018
PMCPMC4728378

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Registered trials

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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.