Evidence map›Paper›PMID 31667198›Full record

ArticleOpen forum infectious diseases2019

Optimizing Coverage vs Frequency for Sexually Transmitted Infection Screening of Men Who Have Sex With Men.

Kevin M Weiss, Jeb S Jones, Emeli J Anderson, Thomas Gift, Harrell Chesson, Kyle Bernstein, Kimberly Workowski, Ashleigh Tuite, Eli S Rosenberg, Patrick S Sullivan and 1 more

Open access · goldAbstract read
In one paragraph

Article in Open forum infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.6field-weighted citation impact, top 16% 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, 20 citations in OpenAlex.

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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

11 authors at 3 institutions in 2 countries.

Kevin M WeissDepartment of Epidemiology, Emory University, Atlanta, Georgia, USA.ORCID 0000-0001-9669-8236
Jeb S JonesDepartment of Epidemiology, Emory University, Atlanta, Georgia, USA.ORCID 0000-0001-9165-1658
Emeli J AndersonDepartment of Epidemiology, Emory University, Atlanta, Georgia, USA.
Thomas GiftDivision of STD Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Harrell ChessonDivision of STD Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID 0000-0002-6695-3141
Kyle BernsteinDivision of STD Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Kimberly WorkowskiDivision of STD Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID 0000-0002-9918-9493
Ashleigh TuiteBlueDot Inc., Toronto, Ontario, Canada.ORCID 0000-0002-4373-9337
Eli S RosenbergDepartment of Epidemiology, Emory University, Atlanta, Georgia, USA.ORCID 0000-0002-1695-8075
Patrick S SullivanDepartment of Epidemiology, Emory University, Atlanta, Georgia, USA.
Samuel M JennessDepartment of Epidemiology, Emory University, Atlanta, Georgia, USA.ORCID 0000-0001-8840-105X
Emory University · USCenters for Disease Control and Prevention · USBlueDot (Canada) · CA

Funding

Virology and Molecular Biomarkers CoreP30AI050409 · NIAID · EMORY UNIVERSITY · PI Ann M Chahroudi, Colleen F Kelley · 2002 to 2026
$74.0M
EpiModel 2.0: Integrated Network Models for HIV/STI Prevention ScienceR01AI138783 · NIAID · EMORY UNIVERSITY · PI JENNESS, SAMUEL · 2018 to 2021
$3.0M
Modeling Antiretroviral-Based Prevention among MSM in the USR21MH112449 · NIMH · EMORY UNIVERSITY · PI JENNESS, SAMUEL · 2017 to 2018
$442k
NCHHSTP CDC HHS U38 PS004646NIAID NIH HHS P30 AI050409NIAID NIH HHS R01 AI138783NIMH NIH HHS R21 MH112449
6 · The paper itself

Abstract

backgroundThe incidence of bacterial sexually transmitted infections (STIs) in men who have sex with men (MSM) has increased substantially despite availability of effective antibiotics. The US Centers for Disease Control and Prevention (CDC) recommends annual screening for all sexually active (SA) MSM and more frequent screening for high-risk (HR) MSM. The population-level benefits of improved coverage vs increased frequency of STI screening among SA vs HR MSM are unknown.

methodsWe used a network transmission model of gonorrhea (NG) and chlamydia (CT) among MSM to simulate the implementation of STI screening across different scenarios, starting with the CDC guidelines at current coverage levels. Counterfactual model scenarios varied screening coverage and frequency for SA MSM and HR MSM (MSM with multiple recent partners). We estimated infections averted and the number needed to screen to prevent 1 new infection.

resultsCompared with current recommendations, increasing the frequency of screening to biannually for all SA MSM and adding some HR screening could avert 72% of NG and 78% of CT infections over 10 years. Biannual screening of 30% of HR MSM at empirical coverage levels for annual SA screening could avert 76% of NG and 84% of CT infections. Other scenarios, including higher coverage among SA MSM and increasing frequency for HR MSM, averted fewer infections but did so at a lower number needed to screen.

conclusionsThe optimal screening scenarios in this model to reduce STI incidence among MSM included more frequent screening for all sexually active MSM and higher coverage of screening for HR men with multiple partners.

Indexed as

mathematical modelmen who have sex with menscreeningsexually transmitted infections

Identifiers

PMID31667198
PMCPMC6814280
OpenAlexW2982019590

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.