Evidence map›Paper›PMID 31538945›Full record

ArticleJMIR research protocols2019

A Web-Based Study of HIV Prevention in the Era of Pre-Exposure Prophylaxis Among Vulnerable HIV-Negative Gay and Bisexual Men, Transmen, and Transwomen Who Have Sex With Men: Protocol for an Observational Cohort Study.

Denis Nash, Matthew Stief, Caitlin MacCrate, Chloe Mirzayi, Viraj V Patel, Donald Hoover, David W Pantalone, Sarit Golub, Gregorio Millett, Alexa B D'Angelo and 2 more

Open access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

44 citing papers in PubMed, 51 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

12 authors at 5 institutions in 1 country.

Denis NashInstitute for Implementation Science in Population Health, City University of New York, New York, NY, United States.ORCID http://orcid.org/0000-0002-3280-5386
Matthew StiefInstitute for Implementation Science in Population Health, City University of New York, New York, NY, United States.ORCID http://orcid.org/0000-0002-7354-1073
Caitlin MacCrateInstitute for Implementation Science in Population Health, City University of New York, New York, NY, United States.ORCID http://orcid.org/0000-0001-5594-2386
Chloe MirzayiInstitute for Implementation Science in Population Health, City University of New York, New York, NY, United States.ORCID http://orcid.org/0000-0002-9817-2868
Viraj V PatelDivision of General Internal Medicine, Department of Medicine, Montefiore Health System, Albert Einstein College of Medicine, Bronx, NY, United States.ORCID http://orcid.org/0000-0002-5603-9823
Donald HooverDepartment of Statistics and Biostatistics, Rutgers University, New Brunswick, NJ, United States.ORCID http://orcid.org/0000-0003-4846-5205
David W PantaloneDepartment of Psychology, University of Massachusetts, Boston, MA, United States.ORCID http://orcid.org/0000-0003-2020-8696
Sarit GolubInstitute for Implementation Science in Population Health, City University of New York, New York, NY, United States.ORCID http://orcid.org/0000-0002-1644-1076
Gregorio MillettThe Foundation for AIDS Research, New York, NY, United States.ORCID http://orcid.org/0000-0001-8682-8850
Alexa B D'AngeloInstitute for Implementation Science in Population Health, City University of New York, New York, NY, United States.ORCID http://orcid.org/0000-0001-5260-340X
Drew Anne WestmorelandInstitute for Implementation Science in Population Health, City University of New York, New York, NY, United States.ORCID http://orcid.org/0000-0003-4085-7941
Christian GrovInstitute for Implementation Science in Population Health, City University of New York, New York, NY, United States.ORCID http://orcid.org/0000-0001-6871-3531
City University of New York · USAlbert Einstein College of Medicine · USAmerican Foundation for AIDS Research · USBrown University · USRutgers, The State University of New Jersey · US

Funding

The Statistics, Data Science, and Data Management (SDM) CoreP30MH043520 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI Claude Ann Mellins · 2003 to 2026
$48.2M
Patient and Population Health Outcomes Research SWGP30AI124414 · NIAID · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI Kathryn M. Anastos · 2017 to 2026
$28.3M
Following a U.S. National Cohort of Vulnerable Men to Improve HIV Prevention and CareUH3AI133675 · NIAID · GRADUATE SCHOOL OF PUBLIC HEALTH AND HEALTH POLICY · PI GROV, CHRISTIAN · 2019 to 2021
$6.9M
Following a U.S. National Cohort of Vulnerable Men to Improve HIV Prevention and CareUG3AI133675 · NIAID · GRADUATE SCHOOL OF PUBLIC HEALTH AND HEALTH POLICY · PI GROV, CHRISTIAN · 2017 to 2018
$2.6M
Social Media Based Peer Led Intervention to Facilitate PrEP in YMSM of ColorK23MH102118 · NIMH · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI PATEL, VIRAJ V · 2014 to 2018
$953k
NIAID NIH HHS P30 AI124414NIAID NIH HHS UG3 AI133675NIAID NIH HHS UH3 AI133675NIMH NIH HHS K23 MH102118NIMH NIH HHS L30 MH117751NIMH NIH HHS P30 MH043520
6 · The paper itself

Abstract

backgroundGay, bisexual, and other men who have sex with men continue to bear a large burden of the HIV epidemic in the United States and are among the only populations with increasing incidence in recent years.

objectiveThe Together 5000 (T5K) Study aimed to enroll a US-based, racially diverse sample of HIV-negative men, transmen, and transwomen who are not on pre-exposure prophylaxis (PrEP) into an observational cohort to inform the design, implementation, scale-up, and evaluation of HIV prevention programs.

methodsWe used internet-based strategies to enroll a large, racially diverse national sample of HIV-negative men, transmen, and transwomen aged 16 to 49 years at high risk of HIV acquisition via sexual networking apps. Study participants are contacted every 6 months (in between annual surveys) for a brief survey on HIV testing, HIV diagnosis, and PrEP use (ie, attempts to access, PrEP initiation, and PrEP discontinuation). Participants complete annual self-administered at-home HIV testing and Web-based surveys. Using baseline serologic data and self-reported HIV testing history, we reconstructed a cohort of persons who were HIV negative at 12 months before baseline to estimate HIV incidence leading up to cohort enrollment.

resultsThe study sample included 8777 participants from all 50 US states, Puerto Rico, and Guam; 50.91% (4468/8777) were persons of color and 25.30% (2221/8777) were young individuals aged 16 to 24 years. Per eligibility criteria, all T5K participants reported having sex with >2 male partners in the 90 days before enrollment, self-reported not having been diagnosed with HIV, and were not actively taking PrEP. In addition, 79.39% (6968/8777) reported >2 insertive condomless anal sex (CAS) acts, 61.02% (5356/8777) reported >1 receptive CAS acts in the past 90 days. Furthermore, most (7525/8777, 85.74%) reported never having taken PrEP. In total, 70.25% (6166/8777) were sent a self-administered at-home HIV test kit and 82.29% (5074/6166) of those sent a kit returned a sample for testing. The HIV incidence rate during the 12-month period leading up to enrollment was estimated to be 2.41 (95% CI 2.02-2.90) per 100 person-years.

conclusionsA large, national, and racially diverse fully Web-based cohort of HIV-negative men, transmen, and transwomen at high risk for HIV seroconversion has successfully been recruited into longitudinal follow-up. This cohort is at high risk for HIV acquisition and can provide important insights related to the real-world uptake, impact, and equity of HIV prevention interventions in the United States. Participants can be invited to participate in trials aimed at testing strategies to improve the uptake of and engagement in these interventions. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR1-10.2196/13715.

Indexed as

HIVimplementation sciencepre-exposure prophylaxis

Identifiers

PMID31538945
PMCPMC6754683
OpenAlexW2955154903

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.