Evidence map›Paper›PMID 25730631›Full record

ReviewPathology2015

Whole genome sequencing in clinical and public health microbiology.

J C Kwong, N McCallum, V Sintchenko, B P Howden

Open access · bronzeAbstract readReview
In one paragraph

Review in Pathology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 157 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
157citing papers in PubMed, 1 pooled it
23.3field-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

157 citing papers in PubMed, 1 synthesis or guideline pooled it, 325 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Phenotypic, Genetic, and Virulence Characterization ofPathogens (Basel, Switzerland) · 2026
    Article
  4. Current Perspectives onInternational journal of molecular sciences · 2026
    Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Canada communicable disease report = Releve des maladies transmissibles au Canada · 2026
    Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Microbial Omics.Progress in molecular and subcellular biology · 2026
    Review
  19. Article
  20. Review

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

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.

J C Kwong1Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology and Immunology, the University of Melbourne, at the Doherty Institute for Infection and Immunity, Melbourne, Vic 2Department of Infectious Diseases, Austin Health, Heidelberg, Vic 3Marie Bashir Institute for Infectious Diseases and Biosecurity and Sydney Medical School, The University of Sydney, Sydney, NSW 4Centre for Infectious Diseases and Microbiology-Public Health, Institute of Clinical Pathology and Medical Research, Westmead Hospital, Sydney, NSW 5Department of Microbiology, Monash University, Clayton, Vic, Australia.
N McCallum
V Sintchenko
B P Howden
The University of Melbourne · AUThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomics and whole genome sequencing (WGS) have the capacity to greatly enhance knowledge and understanding of infectious diseases and clinical microbiology.The growth and availability of bench-top WGS analysers has facilitated the feasibility of genomics in clinical and public health microbiology.Given current resource and infrastructure limitations, WGS is most applicable to use in public health laboratories, reference laboratories, and hospital infection control-affiliated laboratories.As WGS represents the pinnacle for strain characterisation and epidemiological analyses, it is likely to replace traditional typing methods, resistance gene detection and other sequence-based investigations (e.g., 16S rDNA PCR) in the near future.Although genomic technologies are rapidly evolving, widespread implementation in clinical and public health microbiology laboratories is limited by the need for effective semi-automated pipelines, standardised quality control and data interpretation, bioinformatics expertise, and infrastructure.

Indexed as

Microbiological TechniquesCommunicable DiseasesGenomeHumansMicrobiologyPublic HealthSequence Analysis, DNA

Identifiers

PMID25730631
PMCPMC4389090
OpenAlexW1996792558

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.