Evidence map›Paper›PMID 27353752›Full record

ArticlemBio2016

Genomic Analysis and Comparison of Two Gonorrhea Outbreaks.

Xavier Didelot, Janina Dordel, Lilith K Whittles, Caitlin Collins, Nicole Bilek, Cynthia J Bishop, Peter J White, David M Aanensen, Julian Parkhill, Stephen D Bentley and 2 more

Abstract readComparative Study
In one paragraph

Article in mBio, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

42 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Review
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  14. Microbial genomics · 2021
    Article
  15. Article
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  18. Using rapid point-of-care tests to inform antibiotic choice to mitigate drug resistance in gonorrhoea.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2020
    Article
  19. Ethnically diverse urban transmission networks ofSexually transmitted infections · 2020
    Observational
  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

12 authors.

Xavier DidelotDepartment of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom x.didelot@imperial.ac.uk sh16@sanger.ac.uk.ORCID http://orcid.org/0000-0003-1885-500X
Janina DordelWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, United Kingdom Department of Biology, Drexel University, Philadelphia, Pennsylvania, USA.
Lilith K WhittlesDepartment of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.
Caitlin CollinsDepartment of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.
Nicole BilekDepartment of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa.
Cynthia J BishopDepartment of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom International AIDS Vaccine Initiative, Human Immunology Laboratory, Imperial College London, London, United Kingdom.
Peter J WhiteDepartment of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom Modelling and Economics Unit, Centre for Infectious Disease Surveillance and Control, Public Health England, London, United Kingdom MRC Centre for Outbreak Analysis and Modelling, School of Public Health, Imperial College London, London, United Kingdom NIHR Health Protection Research Unit in Modelling Methodology, School of Public Health, Imperial College London, London, United Kingdom.
David M AanensenDepartment of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom Centre for Genomic Pathogen Surveillance, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, United Kingdom.
Julian ParkhillWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, United Kingdom.ORCID http://orcid.org/0000-0002-7069-5958
Stephen D BentleyWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, United Kingdom.
Brian G SprattDepartment of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.
Simon R HarrisWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, United Kingdom x.didelot@imperial.ac.uk sh16@sanger.ac.uk.

Funding

Medical Research Council MR/K010174/1Medical Research Council MR/N010760/1Wellcome Trust
6 · The paper itself

Abstract

unlabelledGonorrhea is a sexually transmitted disease causing growing concern, with a substantial increase in reported incidence over the past few years in the United Kingdom and rising levels of resistance to a wide range of antibiotics. Understanding its epidemiology is therefore of major biomedical importance, not only on a population scale but also at the level of direct transmission. However, the molecular typing techniques traditionally used for gonorrhea infections do not provide sufficient resolution to investigate such fine-scale patterns. Here we sequenced the genomes of 237 isolates from two local collections of isolates from Sheffield and London, each of which was resolved into a single type using traditional methods. The two data sets were selected to have different epidemiological properties: the Sheffield data were collected over 6 years from a predominantly heterosexual population, whereas the London data were gathered within half a year and strongly associated with men who have sex with men. Based on contact tracing information between individuals in Sheffield, we found that transmission is associated with a median time to most recent common ancestor of 3.4 months, with an upper bound of 8 months, which we used as a criterion to identify likely transmission links in both data sets. In London, we found that transmission happened predominantly between individuals of similar age, sexual orientation, and location and also with the same HIV serostatus, which may reflect serosorting and associated risk behaviors. Comparison of the two data sets suggests that the London epidemic involved about ten times more cases than the Sheffield outbreak. IMPORTANCE: The recent increases in gonorrhea incidence and antibiotic resistance are cause for public health concern. Successful intervention requires a better understanding of transmission patterns, which is not uncovered by traditional molecular epidemiology techniques. Here we studied two outbreaks that took place in Sheffield and London, United Kingdom. We show that whole-genome sequencing provides the resolution to investigate direct gonorrhea transmission between infected individuals. Combining genome sequencing with rich epidemiological information about infected individuals reveals the importance of several transmission routes and risk factors, which can be used to design better control measures.

Indexed as

Disease OutbreaksGenome, BacterialAdultFemaleGenomicsGonorrheaHeterosexualityHigh-Throughput Nucleotide SequencingHumansIncidenceLondonMaleMolecular TypingNeisseria gonorrhoeaePhylogenyRisk Factors

Identifiers

PMID27353752
PMCPMC4937209

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.