Evidence map›Paper›PMID 23857503›Full record

ArticleJAMA internal medicine2013

Rapid bacterial whole-genome sequencing to enhance diagnostic and public health microbiology.

Sandra Reuter, Matthew J Ellington, Edward J P Cartwright, Claudio U Köser, M Estée Török, Theodore Gouliouris, Simon R Harris, Nicholas M Brown, Matthew T G Holden, Mike Quail and 4 more

Open access · greenAbstract read
In one paragraph

Article in JAMA internal medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 99 papers.

0numbers the graph read from it
0cells of the map it votes in
99citing papers in PubMed
10.8field-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

99 citing papers in PubMed, 214 citations in OpenAlex.

  1. Article
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  9. Review
  10. Observational
  11. Genomic epidemiology ofFrontiers in microbiology · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Hospital transmission of borderline oxacillin-resistantJournal of medical microbiology · 2021
    Article
  18. Article
  19. Review
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 5 institutions in 2 countries.

Sandra ReuterWellcome Trust Sanger Institute, Hinxton, England.
Matthew J Ellington
Edward J P Cartwright
Claudio U Köser
M Estée Török
Theodore Gouliouris
Simon R Harris
Nicholas M Brown
Matthew T G Holden
Mike Quail
Julian Parkhill
Geoffrey P Smith
Stephen D Bentley
Sharon J Peacock
Wellcome Sanger Institute · GBUniversity of Cambridge · GBPublic Health LaboratoryCambridge University Hospitals NHS Foundation Trust · GBIllumina (United States) · US

Funding

Medical Research Council G1000803Wellcome Trust 098051
6 · The paper itself

Abstract

importanceThe latest generation of benchtop DNA sequencing platforms can provide an accurate whole-genome sequence (WGS) for a broad range of bacteria in less than a day. These could be used to more effectively contain the spread of multidrug-resistant pathogens.

objectiveTo compare WGS with standard clinical microbiology practice for the investigation of nosocomial outbreaks caused by multidrug-resistant bacteria, the identification of genetic determinants of antimicrobial resistance, and typing of other clinically important pathogens. DESIGN, SETTING, AND

participantsA laboratory-based study of hospital inpatients with a range of bacterial infections at Cambridge University Hospitals NHS Foundation Trust, a secondary and tertiary referral center in England, comparing WGS with standard diagnostic microbiology using stored bacterial isolates and clinical information. MAIN OUTCOMES AND MEASURES: Specimens were taken and processed as part of routine clinical care, and cultured isolates stored and referred for additional reference laboratory testing as necessary. Isolates underwent DNA extraction and library preparation prior to sequencing on the Illumina MiSeq platform. Bioinformatic analyses were performed by persons blinded to the clinical, epidemiologic, and antimicrobial susceptibility data.

resultsWe investigated 2 putative nosocomial outbreaks, one caused by vancomycin-resistant Enterococcus faecium and the other by carbapenem-resistant Enterobacter cloacae; WGS accurately discriminated between outbreak and nonoutbreak isolates and was superior to conventional typing methods. We compared WGS with standard methods for the identification of the mechanism of carbapenem resistance in a range of gram-negative bacteria (Acinetobacter baumannii, E cloacae, Escherichia coli, and Klebsiella pneumoniae). This demonstrated concordance between phenotypic and genotypic results, and the ability to determine whether resistance was attributable to the presence of carbapenemases or other resistance mechanisms. Whole-genome sequencing was used to recapitulate reference laboratory typing of clinical isolates of Neisseria meningitidis and to provide extended phylogenetic analyses of these. CONCLUSIONS AND RELEVANCE: The speed, accuracy, and depth of information provided by WGS platforms to confirm or refute outbreaks in hospitals and the community, and to accurately define transmission of multidrug-resistant and other organisms, represents an important advance.

Indexed as

Anti-Bacterial AgentsBacterial Proteinsbeta-LactamasesCross InfectionDisease OutbreaksDrug Resistance, BacterialEnglandGenome, BacterialGram-Negative BacteriaHospitals, UniversityHumansPublic HealthSequence Analysis, DNAAnti-Bacterial AgentsBacterial Proteinsbeta-Lactamasescarbapenemase

Identifiers

PMID23857503
PMCPMC4001082
OpenAlexW1987261708

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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.