Evidence map›Paper›PMID 26518045›Full record

ReviewThe Journal of infectious diseases2016

Improving Control of Antibiotic-Resistant Gonorrhea by Integrating Research Agendas Across Disciplines: Key Questions Arising From Mathematical Modeling.

Yonatan H Grad, Edward Goldstein, Marc Lipsitch, Peter J White

Abstract readReview
In one paragraph

Review in The Journal of infectious diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

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

  1. Pooled it
  2. Article
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  7. Correlates ofBMJ open · 2023
    Article
  8. Article
  9. 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
  10. Clinical Performance of the XpertFrontiers in cellular and infection microbiology · 2021
    Article
  11. Assessment of the Potential of Vaccination to Combat Antibiotic Resistance in Gonorrhea: A Modeling Analysis to Determine Preferred Product Characteristics.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020
    Article
  12. The frontiers of addressing antibiotic resistance in Neisseria gonorrhoeae.Translational research : the journal of laboratory and clinical medicine · 2020
    Review
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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

4 authors.

Yonatan H GradDepartment of Immunology and Infectious Diseases Department of Epidemiology, Center for Communicable Disease Dynamics, Harvard T. H. Chan School of Public Health, and Division of Infectious Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Edward GoldsteinDepartment of Epidemiology, Center for Communicable Disease Dynamics, Harvard T. H. Chan School of Public Health, and.
Marc LipsitchDepartment of Immunology and Infectious Diseases Department of Epidemiology, Center for Communicable Disease Dynamics, Harvard T. H. Chan School of Public Health, and.
Peter J WhiteModelling and Economics Unit, Centre for Infectious Disease Surveillance and Control, Public Health England MRC Centre for Outbreak Analysis and Modelling NIHR Health Protection Research Unit in Modelling Methodology, School of Public Health, Imperial College London, United Kingdom.

Funding

Understanding and controlling antibiotic resistanceU54GM088558 · NIGMS · HARVARD SCHOOL OF PUBLIC HEALTH · PI HANAGE, WILLIAM · 2009 to 2018
$26.4M
INFECTIOUS DISEASE AND BASIC MICROBIOLOGICAL MECHANISMST32AI007061 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI Marcia B Goldberg · 1985 to 2026
$12.1M
Genomic epidemiology of Neisseria gonorrhoeae with elevated MICs to cefiximeK08AI104767 · NIAID · HARVARD SCHOOL OF PUBLIC HEALTH · PI GRAD, YONATAN H · 2013 to 2015
$547k
Epidemiology and modeling of the population dynamics of influenza and antimicrobiK01AI101010 · NIAID · HARVARD SCHOOL OF PUBLIC HEALTH · PI GOLDSTEIN, EDWARD · 2012 to 2014
$379k
Department of Health HPRU-2012-10080Medical Research Council MR/K010174/1NIAID NIH HHS 1K01AI101010-01NIAID NIH HHS 1-K08-AI104767NIAID NIH HHS K01 AI101010NIAID NIH HHS K08 AI104767NIAID NIH HHS T32 AI007061NIGMS NIH HHS U54 GM088558NIGMS NIH HHS U54GM088558
6 · The paper itself

Abstract

The rise in gonococcal antibiotic resistance and the threat of untreatable infection are focusing attention on strategies to limit the spread of drug-resistant gonorrhea. Mathematical models provide a framework to link the natural history of infection and patient behavior to epidemiological outcomes and can be used to guide research and enhance the public health impact of interventions. While limited knowledge of key disease parameters and networks of spread has impeded development of operational models of gonococcal transmission, new tools in gonococcal surveillance may provide useful data to aid tracking and modeling. Here, we highlight critical questions in the management of gonorrhea that can be addressed by mathematical models and identify key data needs. Our overarching aim is to articulate a shared agenda across gonococcus-related fields from microbiology to epidemiology that will catalyze a comprehensive evidence-based clinical and public health strategy for management of gonococcal infections and antimicrobial resistance.

Indexed as

Drug Resistance, BacterialModels, BiologicalAnti-Bacterial AgentsGonorrheaHumansNeisseria gonorrhoeaeAnti-Bacterial Agentsantibiotic resistancegonorrheaimmunitymathematical modelingNeisseria gonorrhoeaesexually transmitted infectionsvaccine

Identifiers

PMID26518045
PMCPMC4760416

What OpenQuestion holds

Textmetadata
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.