Evidence map›Paper›PMID 30169624›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2019

One Size Fits (n)One: The Influence of Sex, Age, and Sexual Human Immunodeficiency Virus (HIV) Acquisition Risk on Racial/Ethnic Disparities in the HIV Care Continuum in the United States.

Fidel A Desir, Catherine R Lesko, Richard D Moore, Michael A Horberg, Cherise Wong, Heidi M Crane, Michael Silverberg, Jennifer E Thorne, Beth Rachlis, Charles Rabkin and 4 more

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

14 authors.

Fidel A DesirDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore.
Catherine R LeskoDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore.
Richard D MooreDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore.
Michael A HorbergDivision of Research, Kaiser Permanente Mid-Atlantic Research Group, Rockville, Maryland.
Cherise WongDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore.
Heidi M CraneDivision of Allergy and Infectious Diseases, University of Washington, Seattle.
Michael SilverbergDivision of Research, Kaiser Permanente Northern California, Oakland.
Jennifer E ThorneDivision of Ocular Immunology, Johns Hopkins Wilmer Eye Institute, Baltimore, Maryland.
Beth RachlisDalla Lana School of Public Health, University of Toronto, Ontario, Canada.
Charles RabkinNational Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Angel M MayorDepartment of Internal Medicine, Universidad Central del Caribe, Bayamon, Puerto Rico.
William C MathewsDepartment of Medicine, University of California, San Diego.
Keri N AlthoffDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore.
North American AIDS Cohort Collaboration on Research and Design (NA-ACCORD) Region of the International Epidemiologic Databases to Evaluate AIDS (IeDEA) Consortium

Funding

Statistical and Data Management Center (SDMC), AIDS Clinical Trials Group (ACTG)UM1AI068634 · NIAID · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Marlene Ann Cooper, Michael David Hughes · 2011 to 2026
$246.6M
WOMEN'S HEALTH AGENDAU01AI038858 · NIAID · SOCIAL AND SCIENTIFIC SYSTEMS, INC. · PI BENSON, CONSTANCE ANN · 1996 to 2008
$157.5M
AIDS Clinical Trials Group NetworkU01AI068636 · NIAID · SOCIAL AND SCIENTIFIC SYSTEMS, INC. · PI KURITZKES, DANIEL R. · 2006 to 2010
$147.1M
UCSF CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR024131 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSTON, S. CLAIBORNE · 2006 to 2011
$111.2M
University of Washington/Fred Hutch Center for AIDS ResearchP30AI027757 · NIAID · UNIVERSITY OF WASHINGTON · PI Judith Tsui · 1988 to 2026
$104.9M
Unsolicited R24 for the CFAR-Network of Integrated Clinical Sciences, CNICSR24AI067039 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Michael S. Saag · 2006 to 2026
$99.4M
Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STEVEN Grant DEEKS · 1988 to 2026
$93.6M
Virology CoreP30AI027767 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI OLAF KUTSCH · 1988 to 2026
$84.1M
STATISTICAL AND DATA MANAGEMENT CENTERU01AI038855 · NIAID · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI HUGHES, MICHAEL DAVID · 1996 to 2006
$78.1M
Engaging University of California Stakeholders for Biorespository ResearchUL1TR000004 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRANDIS, JENNIFER RUBIN · 2012 to 2015
$78.0M
Studies of Ocular Complications of AIDS - Coordinating CenterU10EY008057 · NEI · JOHNS HOPKINS UNIVERSITY · PI VAN NATTA, MARK L · 1988 to 2012
$78.0M
Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
Intramural NIH HHS Z01 CP010176NCATS NIH HHS KL2 TR000421NCATS NIH HHS KL2 TR002317NCATS NIH HHS UL1 TR000004NCATS NIH HHS UL1 TR000083NCATS NIH HHS UL1 TR000454NCI NIH HHS N01 CP001004NCI NIH HHS N02 CP055504NCI NIH HHS R01 CA165937NCI NIH HHS Z01 CP010176NCRR NIH HHS M01 RR000052NCRR NIH HHS UL1 RR024131NEI NIH HHS K23 EY013707NEI NIH HHS U10 EY008052NEI NIH HHS U10 EY008057NEI NIH HHS U10 EY008067NHLBI NIH HHS U01 HL146201NIAAA NIH HHS R01 AA016893NIAAA NIH HHS U01 AA013566NIAAA NIH HHS U01 AA020790NIAAA NIH HHS U24 AA020794NIAID NIH HHS F31 AI124794NIAID NIH HHS K01 AI093197NIAID NIH HHS K24 AI065298NIAID NIH HHS K24 AI118591NIAID NIH HHS P30 AI027757NIAID NIH HHS P30 AI027763NIAID NIH HHS P30 AI027767NIAID NIH HHS P30 AI036219NIAID NIH HHS P30 AI050410NIAID NIH HHS P30 AI094189NIAID NIH HHS P30 AI110527NIAID NIH HHS R24 AI067039NIAID NIH HHS U01 AI031834NIAID NIH HHS U01 AI034989NIAID NIH HHS U01 AI034993NIAID NIH HHS U01 AI034994NIAID NIH HHS U01 AI035004NIAID NIH HHS U01 AI035039NIAID NIH HHS U01 AI035040NIAID NIH HHS U01 AI035041NIAID NIH HHS U01 AI035042NIAID NIH HHS U01 AI037613NIAID NIH HHS U01 AI037984NIAID NIH HHS U01 AI038855NIAID NIH HHS U01 AI038858NIAID NIH HHS U01 AI042590NIAID NIH HHS U01 AI068634NIAID NIH HHS U01 AI068636NIAID NIH HHS U01 AI069432NIAID NIH HHS U01 AI069434NIAID NIH HHS U01 AI069918NIAID NIH HHS U01 AI103390NIAID NIH HHS U01 AI103397NIAID NIH HHS U01 AI103401NIAID NIH HHS U01 AI103408NIAID NIH HHS UM1 AI035043NIAID NIH HHS UM1 AI068634NIA NIH HHS R01 AG053100NICHD NIH HHS U01 HD032632NIDA NIH HHS F31 DA037788NIDA NIH HHS K24 DA000432NIDA NIH HHS R01 DA011602NIDA NIH HHS R01 DA012568NIDA NIH HHS U01 DA036935NIMHD NIH HHS G12 MD007583NIMHD NIH HHS U54 MD007587NIMH NIH HHS P30 MH062246
6 · The paper itself

Abstract

backgroundThe United States National HIV/AIDS Strategy established goals to reduce disparities in retention in human immunodeficiency virus (HIV) care, antiretroviral therapy (ART) use, and viral suppression. The impact of sex, age, and sexual HIV acquisition risk (ie, heterosexual vs same-sex contact) on the magnitude of HIV-related racial/ethnic disparities is not well understood.

methodsWe estimated age-stratified racial/ethnic differences in the 5-year restricted mean percentage of person-time spent in care, on ART, and virally suppressed among 19 521 women (21.4%), men who have sex with men (MSM; 59.0%), and men who have sex with women (MSW; 19.6%) entering HIV care in the North American AIDS Cohort Collaboration on Research and Design between 2004 and 2014.

resultsAmong women aged 18-29 years, whites spent 12.0% (95% confidence interval [CI], 1.1%-20.2%), 9.2% (95% CI, .4%-20.4%), and 13.5% (95% CI, 2.7%-22.5%) less person-time in care, on ART, and virally suppressed, respectively, than Hispanics. Black MSM aged ≥50 years spent 6.3% (95% CI, 1.3%-11.7%), 11.0% (95% CI, 4.6%-18.1%), and 9.7% (95% CI, 3.6%-16.8%) less person-time in these stages, respectively, than white MSM ≥50 years of age. Among MSM aged 40-49 years, blacks spent 9.8% (95% CI, 2.4%-16.5%) and 11.9% (95% CI, 3.8%-19.3%) less person-time on ART and virally suppressed, respectively, than whites.

conclusionsRacial/ethnic differences in HIV care persist in specific populations defined by sex, age, and sexual HIV acquisition risk. Clinical and public health interventions that jointly target these demographic factors are needed.

Indexed as

Homosexuality, MaleRacial GroupsAdolescentAdultCohort StudiesContinuity of Patient CareEthnicityFemaleHIV InfectionsHumansMaleMiddle AgedRisk FactorsSexual BehaviorUnited StatesViral LoadHIV care continuumkey populationsracial/ethnic disparities

Identifiers

PMID30169624
PMCPMC6376102

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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.