Evidence map›Paper›PMID 29367612›Full record

ArticleScientific reports2018

Use of whole genome sequencing to investigate an increase in Neisseria gonorrhoeae infection among women in urban areas of Australia.

Cameron Buckley, Brian M Forde, Ella Trembizki, Monica M Lahra, Scott A Beatson, David M Whiley

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 12% 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, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Surveillance systems to monitor antimicrobial resistance inEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2022
    Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. First National Genomic Epidemiological Study ofFrontiers in microbiology · 2021
    Article
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  11. Observational
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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

6 authors at 2 institutions in 2 countries.

Cameron BuckleyThe University of Queensland, UQ Centre for Clinical Research, Herston, Queensland, 4029, Australia.
Brian M FordeAustralian Infectious Diseases Research Centre, The University of Queensland, Brisbane, Queensland, 4072, Australia.ORCID http://orcid.org/0000-0002-2264-4785
Ella TrembizkiThe University of Queensland, UQ Centre for Clinical Research, Herston, Queensland, 4029, Australia.
Monica M LahraWHO Collaborating Centre for STD, Microbiology Department, New South Wales Health Pathology East, Prince of Wales Hospital, Sydney, New South Wales, 2031, Australia.
Scott A BeatsonAustralian Infectious Diseases Research Centre, The University of Queensland, Brisbane, Queensland, 4072, Australia.ORCID http://orcid.org/0000-0002-1806-3283
David M WhileyThe University of Queensland, UQ Centre for Clinical Research, Herston, Queensland, 4029, Australia. d.whiley@uq.edu.au.
The University of Queensland · AUUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing rates of gonorrhoea have been observed among women within the Australian state of New South Wales. Here, we applied whole genome sequencing (WGS) to better understand the associated networks and transmission dynamics. Ninety-four isolates of a particular N. gonorrhoeae genotype (G122) associated with women (years 2012 to 2014) underwent phylogenetic analysis using core single nucleotide polymorphisms. WGS data revealed five main clusters, all of which were heterogeneous in terms of patient age and site of infection. The relatively high cervical/vaginal infections in each cluster was indicative of transmission in the general heterosexual population, noting that there is typically high rates of condom use for vaginal sex among local commercial sex workers. WGS also enabled the identification of groups of individuals belonging to tighter transmission chains within clusters, and hence may present a new tool for targeting public health interventions. The enhanced resolution of WGS provides a ready means of confirming suspected changes in N. gonorrhoeae epidemiology, but also enables key features to be identified or new questions to be raised regarding the composition of the associated sexual networks.

Indexed as

Disease Transmission, InfectiousGenetic VariationGenotyping TechniquesWhole Genome SequencingCitiesCluster AnalysisFemaleGenotypeGonorrheaHumansMolecular EpidemiologyNeisseria gonorrhoeaeNew South WalesPhylogeny

Identifiers

PMID29367612
PMCPMC5784116
OpenAlexW2794941256

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.