Evidence map›Paper›PMID 23408689›Full record

ArticleJournal of clinical microbiology2013

Outbreak investigation using high-throughput genome sequencing within a diagnostic microbiology laboratory.

Norelle L Sherry, Jessica L Porter, Torsten Seemann, Andrew Watkins, Timothy P Stinear, Benjamin P Howden

Open access · bronzeAbstract read
In one paragraph

Article in Journal of clinical microbiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
15.4field-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

50 citing papers in PubMed, 105 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Early detection of a possible multidrug-resistantIranian journal of microbiology · 2023
    Article
  5. Article
  6. Metagenomic Sequencing for the Diagnosis ofInternational journal of molecular sciences · 2022
    Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Diagnostic Molecular Microbiology: A 2018 Snapshot.Clinics in laboratory medicine · 2018
    Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 1 country.

Norelle L SherryDepartment of Microbiology, Austin Health, Melbourne, Australia.
Jessica L Porter
Torsten Seemann
Andrew Watkins
Timothy P Stinear
Benjamin P Howden
Monash University · AUUniversity of Melbourne · AUAustin Health · AUMercy Hospital for Women · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next-generation sequencing (NGS) of bacterial genomes has recently become more accessible and is now available to the routine diagnostic microbiology laboratory. However, questions remain regarding its feasibility, particularly with respect to data analysis in nonspecialist centers. To test the applicability of NGS to outbreak investigations, Ion Torrent sequencing was used to investigate a putative multidrug-resistant Escherichia coli outbreak in the neonatal unit of the Mercy Hospital for Women, Melbourne, Australia. Four suspected outbreak strains and a comparator strain were sequenced. Genome-wide single nucleotide polymorphism (SNP) analysis demonstrated that the four neonatal intensive care unit (NICU) strains were identical and easily differentiated from the comparator strain. Genome sequence data also determined that the NICU strains belonged to multilocus sequence type 131 and carried the bla(CTX-M-15) extended-spectrum beta-lactamase. Comparison of the outbreak strains to all publicly available complete E. coli genome sequences showed that they clustered with neonatal meningitis and uropathogenic isolates. The turnaround time from a positive culture to the completion of sequencing (prior to data analysis) was 5 days, and the cost was approximately $300 per strain (for the reagents only). The main obstacles to a mainstream adoption of NGS technologies in diagnostic microbiology laboratories are currently cost (although this is decreasing), a paucity of user-friendly and clinically focused bioinformatics platforms, and a lack of genomics expertise outside the research environment. Despite these hurdles, NGS technologies provide unparalleled high-resolution genotyping in a short time frame and are likely to be widely implemented in the field of diagnostic microbiology in the next few years, particularly for epidemiological investigations (replacing current typing methods) and the characterization of resistance determinants. Clinical microbiologists need to familiarize themselves with these technologies and their applications.

Indexed as

High-Throughput Nucleotide SequencingAustraliaBacterial Typing TechniquesBase Sequencebeta-Lactamasesbeta-Lactam ResistanceDisease OutbreaksDNA, BacterialDrug Resistance, Multiple, BacterialEscherichia coliEscherichia coli InfectionsGenome, BacterialGenotypeHumansInfant, NewbornIntensive Care Units, Neonatalbeta-LactamasesDNA, Bacterial

Identifiers

PMID23408689
PMCPMC3647928
OpenAlexW2114404269

What OpenQuestion holds

Textmetadata
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.