Evidence map›Paper›PMID 27418048›Full record

ArticleThe Journal of infectious diseases2016

Impact of the Centers for Disease Control's HIV Preexposure Prophylaxis Guidelines for Men Who Have Sex With Men in the United States.

Samuel M Jenness, Steven M Goodreau, Eli Rosenberg, Emily N Beylerian, Karen W Hoover, Dawn K Smith, Patrick Sullivan

Open access · bronzeAbstract read
In one paragraph

Article 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 132 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
132citing papers in PubMed, 5 pooled it
20.7field-weighted citation impact, top 1% 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

132 citing papers in PubMed, 5 syntheses or guidelines pooled it, 209 citations in OpenAlex.

  1. Pooled it
  2. A Review of Network Models for HIV Spread.Journal of acquired immune deficiency syndromes (1999) · 2025
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72 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Samuel M JennessDepartment of Epidemiology.
Steven M GoodreauDepartment of Anthropology.
Eli RosenbergDepartment of Epidemiology.
Emily N BeylerianCenter for Studies in Demography and Ecology, University of Washington, Seattle.
Karen W HooverDivision of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia.
Dawn K SmithDivision of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia.
Patrick SullivanDepartment of Epidemiology.
Centers for Disease Control and Prevention · USEmory University · USUniversity of Washington · US

Funding

Virology and Molecular Biomarkers CoreP30AI050409 · NIAID · EMORY UNIVERSITY · PI Carlos del Rio · 2002 to 2026
$74.0M
Methods and Data CoreR24HD042828 · NICHD · UNIVERSITY OF WASHINGTON · PI TOLNAY, STEWART E · 2002 to 2016
$9.3M
Statistical Methods for Network EpidemiologyR01HD068395 · NICHD · UNIVERSITY OF WASHINGTON · PI MORRIS, WANDA MARTINA · 2011 to 2015
$3.0M
ENHANCING MODELS OF HIV, VIRAL HEPATITIS, STIs, AND TUBERCULOSIS TO INFORM AND IMPROVE PUBLIC HEALTH IMPACTU38PS004646 · PS · EMORY UNIVERSITY · PI SULLIVAN, PATRICK · 2014 to 2015
$2.9M
Using Sexual Network Transmission Models to Explain HIV Disparities Between BlackR21HD075662 · NICHD · UNIVERSITY OF WASHINGTON · PI GOODREAU, STEVEN M. · 2013 to 2014
$418k
NCHHSTP CDC HHS U38 PS004646NIAID NIH HHS P30 AI050409NICHD NIH HHS R01 HD068395NICHD NIH HHS R21 HD075662NICHD NIH HHS R24 HD042828
6 · The paper itself

Abstract

backgroundPreexposure prophylaxis (PrEP) is effective for preventing human immunodeficiency virus (HIV) infection among men who have sex with men (MSM) within trial settings. Population impact will depend on clinical indications for PrEP initiation, coverage levels, and drug adherence. No modeling studies have estimated the impact of clinical practice guidelines for PrEP issued by the Centers for Disease Control and Prevention (CDC).

methodsMathematical models of HIV transmission among MSM were used to estimate the percentage of infections averted (PIA) and the number needed to treat (NNT) under behavioral indications of the CDC's PrEP guidelines. We modeled the contribution of these indications while varying treatment coverage and adherence.

resultsAt 40% coverage of indicated MSM over the next decade, application of CDC guidelines would avert 1162 infections per 100 000 person-years, 33.0% of expected infections. The predicted NNT for the guidelines would be 25. Increasing coverage and adherence jointly raise the PIA, but reductions to the NNT were associated with better adherence only.

conclusionsImplementation of CDC PrEP guidelines would result in strong and sustained reductions in HIV incidence among MSM in the United States. The guidelines strike a good balance between epidemiological impact (PIA) and efficiency (NNT) at plausible scale-up levels. Adherence counseling could maximize public health investment in PrEP by decreasing the NNT.

Indexed as

Homosexuality, MaleAdultCenters for Disease Control and Prevention, U.S.Disease Transmission, InfectiousHIV InfectionsHumansIncidenceMaleModels, TheoreticalPractice Guidelines as TopicPre-Exposure ProphylaxisUnited Statesclinical guidelinesHIVmathematical modelmen who have sex with menpreexposure prophylaxissexual network

Identifiers

PMID27418048
PMCPMC5142082
OpenAlexW2464830767

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.