Evidence map›Paper›PMID 27196299›Full record

ArticlePLoS pathogens2016

Antibiotic-Resistant Neisseria gonorrhoeae Spread Faster with More Treatment, Not More Sexual Partners.

Stephanie M Fingerhuth, Sebastian Bonhoeffer, Nicola Low, Christian L Althaus

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PLoS pathogens, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02350907 (Rapid Diagnosis of Antibiotic Resistance in Gonorrhoea), which is not on this map. Cited by 56 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 3 pooled it
13.8field-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.

NCT02350907 completednot on this map

Rapid Diagnosis of Antibiotic Resistance in Gonorrhoea: RaDAR-Go

TypeobservationalSponsorUniversity of BernRan2015 to 2016Enrolled261ConditionsGonorrhoea
3 · Its place in the literature

Who cites it

56 citing papers in PubMed, 3 syntheses or guidelines pooled it, 116 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Resistance-Guided Treatment of Gonorrhea: A Prospective Clinical Study.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Trial
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Extra-genitalInternational journal of STD & AIDS · 2023
    Article
  13. Article
  14. Prior Exposure to Azithromycin and Azithromycin Resistance Among Persons Diagnosed With Neisseria gonorrhoeae Infection at a Sexual Health Clinic: 2012-2019.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Article
  15. Review
  16. Article
  17. Antimicrobial Susceptibility Testing Patterns ofTropical medicine and infectious disease · 2022
    Article
  18. Optimal subscription models to pay for antibiotics.Social science & medicine (1982) · 2022
    Article
  19. Review
  20. The Distribution and Spread of Susceptible and Resistant Neisseria gonorrhoeae Across Demographic Groups in a Major Metropolitan Center.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    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

4 authors at 2 institutions in 1 country.

Stephanie M FingerhuthInstitute of Integrative Biology, ETH Zurich, Zurich, Switzerland.ORCID 0000-0002-7821-9390
Sebastian BonhoefferInstitute of Integrative Biology, ETH Zurich, Zurich, Switzerland.
Nicola LowInstitute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland.
Christian L AlthausInstitute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland.
University of Bern · CHETH Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The sexually transmitted bacterium Neisseria gonorrhoeae has developed resistance to all antibiotic classes that have been used for treatment and strains resistant to multiple antibiotic classes have evolved. In many countries, there is only one antibiotic remaining for empirical N. gonorrhoeae treatment, and antibiotic management to counteract resistance spread is urgently needed. Understanding dynamics and drivers of resistance spread can provide an improved rationale for antibiotic management. In our study, we first used antibiotic resistance surveillance data to estimate the rates at which antibiotic-resistant N. gonorrhoeae spread in two host populations, heterosexual men (HetM) and men who have sex with men (MSM). We found higher rates of spread for MSM (0.86 to 2.38 y-1, mean doubling time: 6 months) compared to HetM (0.24 to 0.86 y-1, mean doubling time: 16 months). We then developed a dynamic transmission model to reproduce the observed dynamics of N. gonorrhoeae transmission in populations of heterosexual men and women (HMW) and MSM. We parameterized the model using sexual behavior data and calibrated it to N. gonorrhoeae prevalence and incidence data. In the model, antibiotic-resistant N. gonorrhoeae spread with a median rate of 0.88 y-1 in HMW and 3.12 y-1 in MSM. These rates correspond to median doubling times of 9 (HMW) and 3 (MSM) months. Assuming no fitness costs, the model shows the difference in the host population's treatment rate rather than the difference in the number of sexual partners explains the differential spread of resistance. As higher treatment rates result in faster spread of antibiotic resistance, treatment recommendations for N. gonorrhoeae should carefully balance prevention of infection and avoidance of resistance spread.

Indexed as

AdultAnti-Bacterial AgentsDrug Resistance, MicrobialFemaleGonorrheaHumansIncidenceMaleModels, TheoreticalNeisseria gonorrhoeaePrevalenceSexual PartnersAnti-Bacterial Agents

Identifiers

PMID27196299
PMCPMC4872991
OpenAlexW2212290444

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.