Evidence map›Paper›PMID 30894439›Full record

ArticleJournal of clinical microbiology2019

Methodology for Whole-Genome Sequencing of Methicillin-Resistant

Kathy E Raven, Beth Blane, Danielle Leek, Carol Churcher, Paula Kokko-Gonzales, Dhamayanthi Pugazhendhi, Louise Fraser, Jason Betley, Julian Parkhill, Sharon J Peacock

Open access · hybridAbstract read
In one paragraph

Article in Journal of clinical microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

14 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Unmasking Methicillin-resistantFrontiers in microbiology · 2025
    Article
  3. Article
  4. Antimicrobial resistance and clonality ofFrontiers in microbiology · 2023
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
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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

10 authors at 3 institutions in 1 country.

Kathy E Raven *Department of Medicine, University of Cambridge, Cambridge, United Kingdom ker37@medschl.cam.ac.uk.
Beth Blane *Department of Medicine, University of Cambridge, Cambridge, United Kingdom.
Danielle LeekDepartment of Medicine, University of Cambridge, Cambridge, United Kingdom.
Carol ChurcherDepartment of Medicine, University of Cambridge, Cambridge, United Kingdom.
Paula Kokko-GonzalesIllumina, Inc., Cambridge, United Kingdom.
Dhamayanthi PugazhendhiIllumina, Inc., Cambridge, United Kingdom.
Louise FraserIllumina, Inc., Cambridge, United Kingdom.
Jason BetleyIllumina, Inc., Cambridge, United Kingdom.
Julian ParkhillWellcome Genome Campus, Wellcome Sanger Institute, Cambridge, United Kingdom.ORCID 0000-0002-7069-5958
Sharon J PeacockDepartment of Medicine, University of Cambridge, Cambridge, United Kingdom.
University of Cambridge · GBIllumina (United Kingdom) · GBWellcome Sanger Institute · GB

Funding

Department of HealthWellcome Trust 098051Wellcome Trust WT098600
6 · The paper itself

Abstract

There is growing evidence for the value of bacterial whole-genome sequencing in hospital outbreak investigations. Our aim was to develop methods that support efficient and accurate low-throughput clinical sequencing of methicillin-resistant

Indexed as

Genome, BacterialWhole Genome SequencingDiagnostic Tests, RoutineHumansLaboratories, HospitalMethicillin-Resistant Staphylococcus aureusMicrobiological TechniquesMultilocus Sequence TypingStaphylococcal Infectionsclinical applicationMRSAwhole-genome sequencing

Identifiers

PMID30894439
PMCPMC6535593
OpenAlexW2945206799

What OpenQuestion holds

Textmetadata
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.