Evidence map›Paper›PMID 37081443›Full record

ArticleBMC infectious diseases2023

Projecting the development of antimicrobial resistance in Neisseria gonorrhoeae from antimicrobial surveillance data: a mathematical modelling study.

Julien Riou, Christian L Althaus, Hester Allen, Michelle J Cole, Yonatan H Grad, Janneke C M Heijne, Magnus Unemo, Nicola Low

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
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  8. Bayesian Calibration to Address the Challenge of Antimicrobial Resistance: A Review.IEEE access : practical innovations, open solutions · 2024
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  9. Microbisporicin (NAI-107) protectsMicrobiology spectrum · 2023
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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

8 authors at 5 institutions in 5 countries.

Julien RiouInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland. julien.riou@unibe.ch.
Christian L AlthausInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
Hester AllenUK Health Security Agency, London, UK.
Michelle J ColeUK Health Security Agency, London, UK.
Yonatan H GradHarvard T.H. Chan School of Public Health, Boston, USA.
Janneke C M HeijneCentre for Infectious Diseases Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
Magnus UnemoUniversity of Örebro, Örebro, Sweden.
Nicola LowInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
University of Bern · CHUK Health Security Agency · GBHarvard University · USMaastricht University · NLÖrebro University · SE

Funding

Genomics approaches to elucidating pathways to antibiotic resistance in Neisseria gonorrhoeaeR01AI132606 · NIAID · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Yonatan H Grad · 2017 to 2026
$3.8M
NIAID NIH HHS R01 AI132606
6 · The paper itself

Abstract

backgroundThe World Health Organization recommends changing the first-line antimicrobial treatment for gonorrhoea when ≥ 5% of Neisseria gonorrhoeae cases fail treatment or are resistant. Susceptibility to ceftriaxone, the last remaining treatment option has been decreasing in many countries. We used antimicrobial resistance surveillance data and developed mathematical models to project the time to reach the 5% threshold for resistance to first-line antimicrobials used for N. gonorrhoeae.

methodsWe used data from the Gonococcal Resistance to Antimicrobials Surveillance Programme (GRASP) in England and Wales from 2000-2018 about minimum inhibitory concentrations (MIC) for ciprofloxacin, azithromycin, cefixime and ceftriaxone and antimicrobial treatment in two groups, heterosexual men and women (HMW) and men who have sex with men (MSM). We developed two susceptible-infected-susceptible models to fit these data and produce projections of the proportion of resistance until 2030. The single-step model represents the situation in which a single mutation results in antimicrobial resistance. In the multi-step model, the sequential accumulation of resistance mutations is reflected by changes in the MIC distribution.

resultsThe single-step model described resistance to ciprofloxacin well. Both single-step and multi-step models could describe azithromycin and cefixime resistance, with projected resistance levels higher with the multi-step than the single step model. For ceftriaxone, with very few observed cases of full resistance, the multi-step model was needed to describe long-term dynamics of resistance. Extrapolating from the observed upward drift in MIC values, the multi-step model projected ≥ 5% resistance to ceftriaxone could be reached by 2030, based on treatment pressure alone. Ceftriaxone resistance was projected to rise to 13.2% (95% credible interval [CrI]: 0.7-44.8%) among HMW and 19.6% (95%CrI: 2.6-54.4%) among MSM by 2030.

conclusionsNew first-line antimicrobials for gonorrhoea treatment are needed. In the meantime, public health authorities should strengthen surveillance for AMR in N. gonorrhoeae and implement strategies for continued antimicrobial stewardship. Our models show the utility of long-term representative surveillance of gonococcal antimicrobial susceptibility data and can be adapted for use in, and for comparison with, other countries.

Indexed as

GonorrheaSexual and Gender MinoritiesAnti-Bacterial AgentsAzithromycinCefiximeCeftriaxoneCiprofloxacinDrug Resistance, BacterialFemaleHomosexuality, MaleHumansMaleMicrobial Sensitivity TestsNeisseria gonorrhoeaeAnti-Bacterial AgentsAzithromycinCefiximeCeftriaxoneCiprofloxacinAntimicrobial resistanceMathematical modelMinimum inhibitory concentrationNeisseria gonorrhoeaeSurveillance

Identifiers

PMID37081443
PMCPMC10116452
OpenAlexW4366586189

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.