Evidence map›Paper›PMID 35082278›Full record

ArticleNature communications2022

Optimising genomic approaches for identifying vancomycin-resistant Enterococcus faecium transmission in healthcare settings.

Charlie Higgs, Norelle L Sherry, Torsten Seemann, Kristy Horan, Hasini Walpola, Paul Kinsella, Katherine Bond, Deborah A Williamson, Caroline Marshall, Jason C Kwong and 4 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
6.0field-weighted citation impact, top 3% 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

43 citing papers in PubMed, 67 citations in OpenAlex.

  1. Article
  2. Vancomycin-resistantInfection prevention in practice · 2026
    Article
  3. Review
  4. Investigating pathways of vancomycin-resistantmedRxiv : the preprint server for health sciences · 2026
    Article
  5. Article
  6. Enzymatic DNA Reaction Networks for Orchestrating Stimuli-Dependent Temporal Molecular Pulse.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  7. Article
  8. Article
  9. Genomic epidemiology ofJournal of clinical microbiology · 2026
    Observational
  10. Review
  11. Article
  12. Article
  13. Article
  14. One Health Insights intoInternational journal of molecular sciences · 2026
    Article
  15. Article
  16. Article
  17. Article
  18. Emergence of vancomycin-resistantEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025
    Article
  19. Genomic Epidemiology of Vancomycin-ResistantAntibiotics (Basel, Switzerland) · 2025
    Article
  20. Whole-genome sequencing surveillance of vancomycin-resistantInfection control and hospital epidemiology · 2025
    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.

Charlie HiggsDepartment of Microbiology & Immunology, The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, VIC, Australia.
Norelle L SherryDepartment of Microbiology & Immunology, The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, VIC, Australia.ORCID 0000-0002-7789-8360
Torsten SeemannDepartment of Microbiology & Immunology, The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, VIC, Australia.ORCID 0000-0001-6046-610X
Kristy HoranMicrobiological Diagnostic Unit Public Health Laboratory, Department of Microbiology & Immunology, The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, VIC, Australia.
Hasini WalpolaMicrobiological Diagnostic Unit Public Health Laboratory, Department of Microbiology & Immunology, The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, VIC, Australia.
Paul KinsellaDepartment of Microbiology, Royal Melbourne Hospital, Melbourne, VIC, Australia.ORCID 0000-0002-6167-9366
Katherine BondDepartment of Microbiology, Royal Melbourne Hospital, Melbourne, VIC, Australia.
Deborah A WilliamsonMicrobiological Diagnostic Unit Public Health Laboratory, Department of Microbiology & Immunology, The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, VIC, Australia.
Caroline MarshallVictorian Infectious Diseases Service, The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia.
Jason C KwongDepartment of Microbiology & Immunology, The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, VIC, Australia.
M Lindsay GraysonDepartment of Infectious Diseases, Austin Health, Melbourne, VIC, Australia.
Timothy P StinearDepartment of Microbiology & Immunology, The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, VIC, Australia.ORCID 0000-0003-0150-123X
Claire L GorrieDepartment of Microbiology & Immunology, The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, VIC, Australia.
Benjamin P HowdenDepartment of Microbiology & Immunology, The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, VIC, Australia. bhowden@unimelb.edu.au.ORCID 0000-0003-0237-1473
The University of Melbourne · AUThe Royal Melbourne Hospital · AUPeter Doherty Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vancomycin-resistant Enterococcus faecium (VREfm) is a major nosocomial pathogen. Identifying VREfm transmission dynamics permits targeted interventions, and while genomics is increasingly being utilised, methods are not yet standardised or optimised for accuracy. We aimed to develop a standardized genomic method for identifying putative VREfm transmission links. Using comprehensive genomic and epidemiological data from a cohort of 308 VREfm infection or colonization cases, we compared multiple approaches for quantifying genetic relatedness. We showed that clustering by core genome multilocus sequence type (cgMLST) was more informative of population structure than traditional MLST. Pairwise genome comparisons using split k-mer analysis (SKA) provided the high-level resolution needed to infer patient-to-patient transmission. The more common mapping to a reference genome was not sufficiently discriminatory, defining more than three times more genomic transmission events than SKA (3729 compared to 1079 events). Here, we show a standardized genomic framework for inferring VREfm transmission that can be the basis for global deployment of VREfm genomics into routine outbreak detection and investigation.

Indexed as

Delivery of Health CareGenome, BacterialAnti-Bacterial AgentsBacterial ProteinsBacterial Typing TechniquesCarbon-Oxygen LigasesCross InfectionDisease OutbreaksEnterococcus faeciumGenomicsGram-Positive Bacterial InfectionsHumansMultilocus Sequence TypingPhylogenyVancomycinVancomycin-Resistant EnterococciAnti-Bacterial AgentsBacterial ProteinsCarbon-Oxygen LigasesVanA ligase, BacteriaVancomycin

Identifiers

PMID35082278
PMCPMC8792028
OpenAlexW4210812290

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.