Evidence map›Paper›PMID 35921635›Full record

ArticleSexually transmitted diseases2022

Effect of Screening and Treatment for Gonorrhea and Chlamydia on HIV Incidence Among Men Who Have Sex With Men in the United States: A Modeling Analysis.

Jeb Jones, Adrien Le Guillou, Thomas L Gift, Harrell Chesson, Kyle T Bernstein, Kevin P Delaney, Cynthia Lyles, Andres Berruti, Patrick S Sullivan, Samuel M Jenness

Open access · greenAbstract read
In one paragraph

Article in Sexually transmitted diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Testing paradox may explain increased observed prevalence of bacterial STIs among MSM on HIV PrEP: A modeling study.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
  4. Article
  5. Improving and Extending STERGM Approximations Based on Cross-Sectional Data and Tie Durations.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2024
    Article
  6. 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

10 authors at 3 institutions in 1 country.

Jeb JonesFrom the Department of Epidemiology, Rollins School of Public Health, Emory University.
Adrien Le GuillouFrom the Department of Epidemiology, Rollins School of Public Health, Emory University.
Thomas L GiftNational Center for HIV, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA.
Harrell ChessonNational Center for HIV, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA.
Kyle T BernsteinNational Center for HIV, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA.
Kevin P DelaneyNational Center for HIV, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA.
Cynthia LylesNational Center for HIV, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA.
Andres BerrutiNational Center for HIV, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA.
Patrick S SullivanFrom the Department of Epidemiology, Rollins School of Public Health, Emory University.
Samuel M JennessFrom the Department of Epidemiology, Rollins School of Public Health, Emory University.
Centers for Disease Control and Prevention · USEmory University · USNational Center for HIV/AIDS Viral Hepatitis STD and TB Prevention · US

Funding

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
CDC HHS NU38PS004650NIAID NIH HHS R01 AI138783NIMH NIH HHS R21 MH112449
6 · The paper itself

Abstract

backgroundPrevious models have estimated the total population attributable fraction of Neisseria gonorrhoeae and Chlamydia trachomatis (NG/CT) on HIV incidence among men who have sex with men (MSM), but this does not represent realistic intervention effects. We estimated the potential impact of screening for NG/CT on downstream incidence of HIV among MSM.

methodsUsing a network model, we estimated the effects of varying coverage levels for sexually transmitted infection screening among different priority populations: all sexually active MSM regardless of HIV serostatus, MSM with multiple recent (past 6 months) sex partners regardless of serostatus, MSM without HIV, and MSM with HIV. Under the assumption that all screening events included a urethral test, we also examined the effect of increasing the proportion of screening events that include rectal screening for NG/CT on HIV incidence.

resultsIncreasing annual NG/CT screening among sexually active MSM by 60% averted 4.9% of HIV infections over a 10-year period (interquartile range, 2.8%-6.8%). More HIV infections were averted when screening was focused on MSM with multiple recent sex partners: 60% coverage among MSM with multiple recent sex partners averted 9.8% of HIV infections (interquartile range, 8.1%-11.6%). Increased sexually transmitted infection screening among MSM without HIV averted more new HIV infections compared with the transmissions averted because of screening MSM with HIV, but fewer NG/CT tests were needed among MSM with HIV to avert a single new HIV infection.

conclusionsScreening of NG/CT among MSM is expected to lead to modest but clinically relevant reductions in HIV incidence among MSM.

Indexed as

Chlamydia InfectionsGonorrheaHIV InfectionsSexual and Gender MinoritiesChlamydia trachomatisHomosexuality, MaleHumansIncidenceMaleMass ScreeningNeisseria gonorrhoeaeUnited States

Identifiers

PMID35921635
PMCPMC9481699
OpenAlexW4290101173

What OpenQuestion holds

Textmetadata
LicenceTDM
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.