Evidence map›Paper›PMID 33181280›Full record

ArticleThe Journal of hospital infection2021

Clinical perspectives in integrating whole-genome sequencing into the investigation of healthcare and public health outbreaks - hype or help?

B J Parcell, S H Gillespie, K A Pettigrew, M T G Holden

Open access · hybridAbstract read
In one paragraph

Article in The Journal of hospital infection, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 4% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Microorganisms · 2026
    Review
  4. Review
  5. Article
  6. The Future of Nosocomial Infections.Iranian journal of public health · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Application of Pathogen Genomics to Outbreak Investigation.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Whole-Genome Sequencing Surveillance and Machine Learning of the Electronic Health Record for Enhanced Healthcare Outbreak Detection.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022
    Article
  20. 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

4 authors at 2 institutions in 1 country.

B J ParcellNinewells Hospital and Medical School, Dundee, UK. Electronic address: benjamin.parcell@nhs.scot.
S H GillespieSchool of Medicine, University of St Andrews, St Andrews, UK.
K A PettigrewSchool of Medicine, University of St Andrews, St Andrews, UK.
M T G HoldenSchool of Medicine, University of St Andrews, St Andrews, UK.
University of St Andrews · GBNinewells Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Outbreaks pose a significant risk to patient safety as well as being costly and time consuming to investigate. The implementation of targeted infection prevention and control measures relies on infection prevention and control teams having access to rapid results that detect resistance accurately, and typing results that give clinically useful information on the relatedness of isolates. At present, determining whether transmission has occurred can be a major challenge. Conventional typing results do not always have sufficient granularity or robustness to define strains unequivocally, and sufficient epidemiological data are not always available to establish links between patients and the environment. Whole-genome sequencing (WGS) has emerged as the ultimate genotyping tool, but has not yet fully crossed the divide between research method and routine clinical diagnostic microbiological technique. A clinical WGS service was officially established in 2014 as part of the Scottish Healthcare Associated Infection Prevention Institute to confirm or refute outbreaks in hospital settings from across Scotland. This article describes the authors' experiences with the aim of providing new insights into practical application of the use of WGS to investigate healthcare and public health outbreaks. Solutions to overcome barriers to implementation of this technology in a clinical environment are proposed.

Indexed as

Disease OutbreaksPublic HealthWhole Genome SequencingDelivery of Health CareGenome, BacterialGenotyping TechniquesHumansScotlandHealthcare-associated infectionsMulti-locus sequence typingPulsed-field gel electrophoresisTypingVariable number of tandem repeatsWhole-genome sequencing

Identifiers

PMID33181280
PMCPMC7927979
OpenAlexW3106042946

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.