Evidence map›Paper›PMID 38976754›Full record

ArticlePLoS medicine2024

Assessing thresholds of resistance prevalence at which empiric treatment of gonorrhea should change among men who have sex with men in the US: A cost-effectiveness analysis.

Xuecheng Yin, Yunfei Li, Minttu M Rönn, Song Li, Yue Yuan, Thomas L Gift, Katherine Hsu, Joshua A Salomon, Yonatan H Grad, Reza Yaesoubi

Abstract read
In one paragraph

Article in PLoS medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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.

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Xuecheng YinDepartment of Management Science and Information Systems, Spears School of Business, Oklahoma State University, Tulsa, Oklahoma, United States of America.ORCID 0009-0008-6822-3151
Yunfei LiDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.ORCID 0000-0002-6891-5392
Minttu M RönnDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.ORCID 0000-0002-9292-5670
Song LiCollege of Computer Science and Technology/School of Cyber Science and Technology, Zhejiang University, Hangzhou, China.ORCID 0000-0002-7961-8502
Yue YuanAltfest Personal Wealth Management, New York, New York, United States of America.
Thomas L GiftDivision of STD Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Katherine HsuMassachusetts Department of Public Health, Boston, Massachusetts, United States of America.
Joshua A SalomonDepartment of Health Policy, Stanford University School of Medicine, Stanford, California, United States of America.ORCID 0000-0003-3929-5515
Yonatan H GradDepartment of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America.ORCID 0000-0001-5646-1314
Reza YaesoubiDepartment of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut, United States of America.ORCID 0000-0002-9276-5750

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
Enhancing surveillance systems to slow the spread of antimicrobial-resistant gonorrhea in the United StatesR01AI153351 · NIAID · YALE UNIVERSITY · PI YAESOUBI, REZA · 2020 to 2024
$2.1M
CDC 5NU38PS004651NIAID NIH HHS R01 AI132606NIAID NIH HHS R01 AI153351
6 · The paper itself

Abstract

backgroundSince common diagnostic tests for gonorrhea do not provide information about susceptibility to antibiotics, treatment of gonorrhea remains empiric. Antibiotics used for empiric therapy are usually changed once resistance prevalence exceeds a certain threshold (e.g., 5%). A low switch threshold is intended to increase the probability that an infection is successfully treated with the first-line antibiotic, but it could also increase the pace at which recommendations are switched to newer antibiotics. Little is known about the impact of changing the switch threshold on the incidence of gonorrhea, the rate of treatment failure, and the overall cost and quality-adjusted life-years (QALYs) associated with gonorrhea. METHODS AND

findingsWe developed a transmission model of gonococcal infection with multiple resistant strains to project gonorrhea-associated costs and loss in QALYs under different switch thresholds among men who have sex with men (MSM) in the United States. We accounted for the costs and disutilities associated with symptoms, diagnosis, treatment, and sequelae, and combined costs and QALYs in a measure of net health benefit (NHB). Our results suggest that under a scenario where 3 antibiotics are available over the next 50 years (2 suitable for the first-line therapy of gonorrhea and 1 suitable only for the retreatment of resistant infections), changing the switch threshold between 1% and 10% does not meaningfully impact the annual number of gonorrhea cases, total costs, or total QALY losses associated with gonorrhea. However, if a new antibiotic is to become available in the future, choosing a lower switch threshold could improve the population NHB. If in addition, drug-susceptibility testing (DST) is available to inform retreatment regimens after unsuccessful first-line therapy, setting the switch threshold at 1% to 2% is expected to maximize the population NHB. A limitation of our study is that our analysis only focuses on the MSM population and does not consider the influence of interventions such as vaccine and common use of rapid drugs susceptibility tests to inform first-line therapy.

conclusionsChanging the switch threshold for first-line antibiotics may not substantially change the health and financial outcomes associated with gonorrhea. However, the switch threshold could be reduced when newer antibiotics are expected to become available soon or when in addition to future novel antibiotics, DST is also available to inform retreatment regimens.

Indexed as

Anti-Bacterial AgentsCost-Benefit AnalysisGonorrheaHomosexuality, MaleQuality-Adjusted Life YearsCost-Effectiveness AnalysisDrug Resistance, BacterialHumansMaleNeisseria gonorrhoeaePrevalenceUnited StatesAnti-Bacterial Agents

Identifiers

PMID38976754
PMCPMC11262662

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Registered trials

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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.