Evidence map›Paper›PMID 35139073›Full record

ArticlePLoS computational biology2022

Evaluating spatially adaptive guidelines for the treatment of gonorrhea to reduce the incidence of gonococcal infection and increase the effective lifespan of antibiotics.

Reza Yaesoubi, Ted Cohen, Katherine Hsu, Thomas L Gift, Sancta B St Cyr, Joshua A Salomon, Yonatan H Grad

Abstract read
In one paragraph

Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. 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

7 authors.

Reza YaesoubiDepartment of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut, United States of America.ORCID 0000-0002-9276-5750
Ted CohenDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.ORCID 0000-0002-8091-7198
Katherine HsuMassachusetts Department of Public Health, Boston, Massachusetts, United States of America.
Thomas L GiftDivision of STD Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.ORCID 0000-0001-7713-4267
Sancta B St CyrDivision of STD Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.ORCID 0000-0002-1377-4051
Joshua A SalomonDepartment of Health Policy, Stanford University School of Medicine, Palo Alto, California, United States of America.
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

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
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
Identification and analysis of compensatory mutations that support the evolution of antibiotic resistance in Neisseria gonorrhoeaeR01AI153521 · NIAID · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI GRAD, YONATAN H, JERSE, ANN E. · 2020 to 2024
$3.7M
Economic Modeling for HIV, Viral Hepatitis, STD, TB and School HealthU38PS004644 · PS · HARVARD SCHOOL OF PUBLIC HEALTH · PI SALOMON, JOSHUA A · 2014 to 2015
$2.9M
Evaluating health and economic effects of targeted strategies in TB/HIVR01AI112438 · NIAID · YALE UNIVERSITY · PI COHEN, THEODORE H, SALOMON, JOSHUA A · 2014 to 2017
$2.4M
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
NCATS NIH HHS UL1 TR001863NCHHSTP CDC HHS U38 PS004644NIAID NIH HHS R01 AI112438NIAID NIH HHS R01 AI132606NIAID NIH HHS R01 AI153351NIAID NIH HHS R01 AI153521
6 · The paper itself

Abstract

In the absence of point-of-care gonorrhea diagnostics that report antibiotic susceptibility, gonorrhea treatment is empiric and determined by standardized guidelines. These guidelines are informed by estimates of resistance prevalence from national surveillance systems. We examined whether guidelines informed by local, rather than national, surveillance data could reduce the incidence of gonorrhea and increase the effective lifespan of antibiotics used in treatment guidelines. We used a transmission dynamic model of gonorrhea among men who have sex with men (MSM) in 16 U.S. metropolitan areas to determine whether spatially adaptive treatment guidelines based on local estimates of resistance prevalence can extend the effective lifespan of hypothetical antibiotics. The rate of gonorrhea cases in these metropolitan areas was 5,548 cases per 100,000 MSM in 2017. Under the current strategy of updating the treatment guideline when the prevalence of resistance exceeds 5%, we showed that spatially adaptive guidelines could reduce the annual rate of gonorrhea cases by 200 cases (95% uncertainty interval: 169, 232) per 100,000 MSM population while extending the use of a first-line antibiotic by 0.75 (0.55, 0.95) years. One potential strategy to reduce the incidence of gonorrhea while extending the effective lifespan of antibiotics is to inform treatment guidelines based on local, rather than national, resistance prevalence.

Indexed as

GonorrheaSexual and Gender MinoritiesAnti-Bacterial AgentsHomosexuality, MaleHumansIncidenceLongevityMaleNeisseria gonorrhoeaeAnti-Bacterial Agents

Identifiers

PMID35139073
PMCPMC8863219

What OpenQuestion holds

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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.