Evidence map›Paper›PMID 32976353›Full record

ArticleSexually transmitted diseases2020

Exploring How Epidemic Context Influences Syphilis Screening Impact: A Mathematical Modeling Study.

Ashleigh R Tuite, Christian Testa, Minttu Rönn, Meghan Bellerose, Thomas Gift, Jessica Fridge, Lauren Molotnikov, Catherine Desmarais, Andrés Berruti, Nicolas Menzies and 3 more

Open access · greenAbstract read
In one paragraph

Article in Sexually transmitted diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Estimation of the Lifetime Quality-Adjusted Life Years (QALYs) Lost Due to Syphilis Acquired in the United States in 2018.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Article
  7. Article
  8. Article
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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

13 authors at 5 institutions in 2 countries.

Ashleigh R Tuite
Christian TestaFrom the Prevention Policy Modeling Lab, Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA.
Minttu RönnFrom the Prevention Policy Modeling Lab, Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA.
Meghan BelleroseFrom the Prevention Policy Modeling Lab, Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA.
Thomas GiftDivision of Sexually Transmitted Disease Prevention, Centers for Disease Control and Prevention, Atlanta, GA.
Jessica FridgeSTD/HIV/Hepatitis Program, Louisiana Department of Health, New Orleans, LA.
Lauren MolotnikovDivision of Sexually Transmitted Disease Prevention & HIV/AIDS Surveillance, Massachusetts Department of Public Health, Boston, MA.
Catherine DesmaraisSTD/HIV/Hepatitis Program, Louisiana Department of Health, New Orleans, LA.
Andrés BerrutiDivision of Sexually Transmitted Disease Prevention, Centers for Disease Control and Prevention, Atlanta, GA.
Nicolas MenziesFrom the Prevention Policy Modeling Lab, Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA.
Yelena MalyutaFrom the Prevention Policy Modeling Lab, Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA.
Katherine HsuSTD/HIV/Hepatitis Program, Louisiana Department of Health, New Orleans, LA.
Joshua A Salomon
Harvard Global Health Institute · USLouisiana State Department of Health and Hospitals · USCenters for Disease Control and Prevention · USMassachusetts Department of Public Health · USUniversity of Toronto · CA

Funding

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
NCHHSTP CDC HHS U38 PS004644
6 · The paper itself

Abstract

backgroundThe current syphilis epidemic in the United States is concentrated in gay, bisexual, and other men who have sex with men (MSM), but substantial heterosexual transmission is reported in some parts of the country. Using the US states of Louisiana and Massachusetts as case studies, we investigated how epidemic context influences the impact of population screening approaches for syphilis control.

methodsWe constructed a compartmental metapopulation model parameterized to describe observed patterns of syphilis transmission. We estimated the impact of different approaches to screening, including perfect adherence to current US screening guidelines in MSM.

resultsIn Louisiana, where syphilis cases are more evenly distributed among MSM and heterosexual populations, we projected that screening according to guidelines would contribute to no change or an increase in syphilis burden, compared with burden with current estimated screening coverage. In Massachusetts, which has a more MSM-focused outbreak, we projected that screening according to guidelines would be as or more effective than current screening coverage in most population groups.

conclusionsMen who have sex with men-focused approaches to screening may be insufficient for control when there is substantial transmission in heterosexual populations. Epidemic characteristics may be useful when identifying at-risk groups for syphilis screening.

Indexed as

HIV InfectionsAdultBisexualityEpidemicsFemaleHomosexuality, MaleHumansMaleMass ScreeningMiddle AgedModels, TheoreticalPopulation SurveillanceSexual and Gender MinoritiesSyphilisUnited StatesYoung Adult

Identifiers

PMID32976353
PMCPMC7668348
OpenAlexW3088244893

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.