Evidence map›Paper›PMID 32141958›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2020

Understanding the HIV Epidemic Among MSM in Baltimore: A Modeling Study Estimating the Impact of Past HIV Interventions and Who Acquired and Contributed to Infections.

Romain Silhol, Marie-Claude Boily, Dobromir Dimitrov, Danielle German, Colin Flynn, Jason E Farley, Marcy Gelman, James P Hughes, Deborah Donnell, Adeola Adeyeye and 5 more

Open access · greenAbstract read
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 29% 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, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Observational
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

15 authors at 11 institutions in 2 countries.

Romain SilholDepartment of Infectious Disease Epidemiology, Medical Research Council Centre for Global Infectious Disease Analysis, Imperial College London, London, United Kingdom.
Marie-Claude BoilyDepartment of Infectious Disease Epidemiology, Medical Research Council Centre for Global Infectious Disease Analysis, Imperial College London, London, United Kingdom.
Dobromir DimitrovVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA.
Danielle GermanDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Colin FlynnMaryland Department of Health, Baltimore, MD.
Jason E FarleyThe REACH Initiative, Johns Hopkins University School of Nursing, Baltimore, MD.
Marcy GelmanFenway Institute, Boston, MA.
James P HughesVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA.
Deborah DonnellVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA.
Adeola AdeyeyeDivision of AIDS, National Institutes of Health, Washington, DC.
Robert H RemienHIV Center for Clinical and Behavioral Studies, NY State Psychiatric Institute and Columbia University, New York, NY; and.
Chris BeyrerDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Gabriela Paz-BaileyCenters for Disease Control and Prevention, Atlanta, GA.
Cyprian WejnertCenters for Disease Control and Prevention, Atlanta, GA.
Kate M MitchellDepartment of Infectious Disease Epidemiology, Medical Research Council Centre for Global Infectious Disease Analysis, Imperial College London, London, United Kingdom.
Centers for Disease Control and Prevention · USInfectious Disease Research Institute · USJohns Hopkins University · USMedical Research Council · GBFenway Health · USFred Hutch Cancer Center · USImperial College London · GBJohns Hopkins Medicine · USMaryland Department of Health · USNational Institutes of Health · USNew York Psychoanalytic Society and Institute · US

Funding

LOC: HIV Prevention Trials NetworkUM1AI068619 · NIAID · FAMILY HEALTH INTERNATIONAL · PI Sinead Delany-Moretlwe, RAPHAEL J LANDOVITZ · 2011 to 2026
$779.5M
SDMC: HPTN 084 Pregnancy SupplementUM1AI068617 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Elizabeth Renata Brown, Deborah J Donnell · 2011 to 2026
$204.9M
Vaccine Response and Immunotherapeutics SWGP30AI094189 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Richard E. Chaisson · 2012 to 2026
$67.0M
Social networks, social resources, and HIV transmissionK01DA041259 · NIDA · JOHNS HOPKINS UNIVERSITY · PI GERMAN, DANIELLE · 2016 to 2020
$829k
Medical Research Council MR/R015600/1NIAID NIH HHS P30 AI094189NIAID NIH HHS UM1 AI068617NIAID NIH HHS UM1 AI068619NIDA NIH HHS K01 DA041259
6 · The paper itself

Abstract

introductionMen who have sex with men (MSM) in the United States are disproportionately affected by HIV. We estimated the impact of past interventions and contribution of different population groups to incident MSM HIV infections.

settingBaltimore, US.

methodsWe used a deterministic model, parameterized and calibrated to demographic and epidemic Baltimore MSM data, to estimate the fraction of HIV infections among MSM averted by condoms and antiretroviral therapy (ART) over 1984-2017 and the fraction of infections acquired and transmission contributed by MSM from different demographic groups and disease and care continuum stages over 10-year periods from 1988 to 2017, using population attributable fractions.

resultsCondom use and ART averted 19% (95% uncertainty interval: 14%-25%) and 23% (15%-31%) of HIV infections that would have occurred since 1984 and 1996, respectively. Over 2008-2017, 46% (41%-52%) of incident infections were acquired by and 35% (27%-49%) of transmissions contributed by MSM aged 18-24 years (who constitute 27% of all MSM, 19% of HIV+ MSM). MSM with undiagnosed HIV infection, those with diagnosed infection but not in care, and those on ART contributed to 41% (31%-54%), 46% (25%-56%), and 14% (7%-28%) of transmissions, respectively.

conclusionCondoms and ART have modestly impacted the HIV epidemic among Baltimore MSM to date. Interventions reaching MSM with diagnosed infection who are not in care should be implemented because the largest percentage of HIV transmissions among Baltimore MSM is attributed to this group.

Indexed as

Homosexuality, MaleSexual and Gender MinoritiesAdolescentAdultAnti-HIV AgentsAntiretroviral Therapy, Highly ActiveBaltimoreCondomsContinuity of Patient CareEpidemicsHIV InfectionsHumansIncidenceMaleModels, TheoreticalSexual BehaviorAnti-HIV Agents

Identifiers

PMID32141958
PMCPMC8432604
OpenAlexW3009559920

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.