Evidence map›Paper›PMID 31978353›Full record

Observational studyThe Lancet. Infectious diseases2020

Phylogenomic analysis of Neisseria gonorrhoeae transmission to assess sexual mixing and HIV transmission risk in England: a cross-sectional, observational, whole-genome sequencing study.

Katy Town, Nigel Field, Simon R Harris, Leonor Sánchez-Busó, Michelle J Cole, Rachel Pitt, Helen Fifer, Hamish Mohammed, Gwenda Hughes

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in The Lancet. Infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 6% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Inferring Sexual Network Bridging Using Genomics: A Simulation Study.medRxiv : the preprint server for health sciences · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Phylogenomic Comparison ofOpen forum infectious diseases · 2022
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Katy TownNational Institute for Health Research Health Protection Research Unit in Blood Borne and Sexually Transmitted Infections, University College London, London, UK; Centre for Molecular Epidemiology and Translational Research, Institute for Global Health, University College London, London, UK; National Infection Service, Public Health England, London, UK. Electronic address: katy.town.15@alumni.ucl.ac.uk.
Nigel FieldCentre for Molecular Epidemiology and Translational Research, Institute for Global Health, University College London, London, UK.
Simon R HarrisMicrobiotica, Biodata Innovation Centre, Hinxton, UK.
Leonor Sánchez-BusóCentre for Genomic Pathogen Surveillance, Wellcome Sanger Institute, Hinxton, UK; Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Michelle J ColeNational Infection Service, Public Health England, London, UK.
Rachel PittNational Infection Service, Public Health England, London, UK.
Helen FiferNational Infection Service, Public Health England, London, UK.
Hamish MohammedNational Infection Service, Public Health England, London, UK.
Gwenda HughesNational Institute for Health Research Health Protection Research Unit in Blood Borne and Sexually Transmitted Infections, University College London, London, UK; National Infection Service, Public Health England, London, UK.
Public Health England · GBUniversity College London · GBNational Institute for Health Research · GBOpen Data Institute · GB

Funding

Department of HealthWellcome Trust 098051
6 · The paper itself

Abstract

backgroundCharacterising sexual networks with transmission of sexually transmitted infections might allow identification of individuals at increased risk of infection. We aimed to investigate sexual mixing in Neisseria gonorrhoeae transmission networks between women, heterosexual men, and men who report sex with men (MSM), and between people with and without HIV.

methodsIn this cross-sectional observational study, we whole-genome sequenced N gonorrhoeae isolates from the archive of the Gonococcal Resistance to Antimicrobials Surveillance Programme (GRASP).w Isolates that varied by five single nucleotide polymorphisms or fewer were grouped into clusters that represented sexual networks with N gonorrhoeae transmission. Clusters were described by gender, sexual risk group, and HIV status.

findingsWe sequenced 1277 N gonorrhoeae isolates with linked clinical and sociodemographic data that were collected in five clinics in England during 2013-16 (July 1 to Sept 30 in 2013-15; July 1 to Sept 9 in 2016). The isolates grouped into 213 clusters. 30 (14%) clusters contained isolates from heterosexual men and MSM but no women and three (1%) clusters contained isolates from only women and MSM. 146 (69%) clusters comprised solely people with negative or unknown HIV status and seven (3%) comprised only HIV-positive people. 60 (28%) clusters comprised MSM with positive and negative or unknown HIV status.

interpretationN gonorrhoeae molecular data can provide information indicating risk of HIV or other sexually transmitted infections for some individuals for whom such risk might not be known from clinical history. These findings have implications for sexual health care, including offering testing, prevention advice, and preventive treatment, such as HIV pre-exposure prophylaxis.

fundingNational Institute for Health Research Health Protection Research Unit; Wellcome; Public Health England.

Indexed as

HIV InfectionsNeisseria gonorrhoeaePhylogenyWhole Genome SequencingAdultCross-Sectional StudiesEnglandFemaleGonorrheaHeterosexualityHomosexuality, MaleHumansMaleSexual PartnersYoung Adult

Identifiers

PMID31978353
PMCPMC7099395
OpenAlexW3002816332

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.