Evidence mapPaperPMID 37548977Full record

Observational studyJAMA network open2023

Aging-Related Comorbidity Burden Among Women and Men With or At-Risk for HIV in the US, 2008-2019.

Lauren F Collins, Frank J Palella, C Christina Mehta, JaNae Holloway, Valentina Stosor, Jordan E Lake, Todd T Brown, Elizabeth F Topper, Susanna Naggie, Kathryn Anastos and 10 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 2 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

57 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  14. Navigating the Data Gaps of Ageing Among Women Living With HIV.Journal of the International AIDS Society · 2026
    Article
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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

20 authors.

Lauren F CollinsDivision of Infectious Diseases, Emory University School of Medicine, Atlanta, Georgia.
Frank J PalellaDivision of Infectious Diseases, Northwestern University, Feinberg School of Medicine, Chicago, Illinois.
C Christina MehtaDivision of Infectious Diseases, Emory University School of Medicine, Atlanta, Georgia.
JaNae HollowayDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia.
Valentina StosorDivision of Infectious Diseases, Northwestern University, Feinberg School of Medicine, Chicago, Illinois.
Jordan E LakeDepartment of Medicine, University of Texas Health Sciences Center, Houston.
Todd T BrownDivision of Endocrinology, Diabetes, & Metabolism, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Elizabeth F TopperDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Susanna NaggieDuke Clinical Research Institute and Duke University School of Medicine, Durham, North Carolina.
Kathryn AnastosDepartment of Medicine, Albert Einstein College of Medicine, Bronx, New York.
Tonya N TaylorSUNY Downstate Health Sciences University, Brooklyn, New York.
Seble KassayeGeorgetown University Medical Center, Washington, DC.
Audrey L FrenchDivision of Infectious Diseases, CORE Center, Stroger Hospital of Cook County, Chicago, Illinois.
Adaora A AdimoraSchool of Medicine and UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill.
Margaret A FischlDivision of Infectious Diseases, University of Miami Miller School of Medicine, Miami, Florida.
Mirjam-Colette KempfSchools of Nursing, Public Health and Medicine, University of Alabama at Birmingham.
Susan L KoletarDivision of Infectious Diseases, The Ohio State University Medical Center, Columbus.
Phyllis C TienDivision of Infectious Diseases, Department of Medicine, University of California, San Francisco.
Ighovwerha OfotokunDivision of Infectious Diseases, Emory University School of Medicine, Atlanta, Georgia.
Anandi N ShethDivision of Infectious Diseases, Emory University School of Medicine, Atlanta, Georgia.

Funding

UAB Center for AIDS Research (CFAR)P30AI027767 · UNIVERSITY OF ALABAMA AT BIRMINGHAM · 1988 to 2025
$12.1M
Infant Immunization to Reduce Pneumonia in HIV +ve womenP30AI050409 · EMORY UNIVERSITY · 2002 to 2025
$11.1M
UNC Center for AIDS Research Core F BiostatisticsP30AI050410 · UNIV OF NORTH CAROLINA CHAPEL HILL · 2001 to 2025
$10.9M
UCLA Clinical and Translational Science InstituteUL1TR001881 · UNIVERSITY OF CALIFORNIA LOS ANGELES · 2025 to 2025
$9.9M
Data Analysis and Coordination Center for the MACS-WIHS Combined Cohort StudyU01HL146193 · JOHNS HOPKINS UNIVERSITY · 2025 to 2025
$4.8M
SF Bay Area MACS/WIHS Combined Cohort StudyU01HL146242 · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · 2025 to 2025
$4.4M
Los Angeles CRS for the MACS/WIHS Combined Cohort StudyU01HL146333 · UNIVERSITY OF CALIFORNIA LOS ANGELES · 2025 to 2025
$4.3M
Clinical Research Sites for the MACS/WIHS Combined Cohort Study (MACS/WIHS-CCS)U01HL146204 · ALBERT EINSTEIN COLLEGE OF MEDICINE · 2025 to 2025
$4.1M
University of Pittsburgh MACS/WIHS CCSU01HL146208 · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · 2025 to 2025
$4.0M
Clinical Research Sites for the MACS/WIHS Combined Cohort Study (MACS/WIHS-CCS) - Baltimore/Wash DC CenterU01HL146201 · JOHNS HOPKINS UNIVERSITY · 2025 to 2025
$4.0M
Northwestern CORE Clinical Research Site: Trans-omics for HIV/AIDS ResearchU01HL146240 · NORTHWESTERN UNIVERSITY · 2025 to 2025
$3.9M
MACS/WIHS Combined Cohort Study: Cook County Clinical Research Site (CC_CRS)U01HL146245 · HEKTOEN INSTITUTE FOR MEDICAL RESEARCH · 2025 to 2025
$3.0M
NCATS NIH HHS UL1 TR001881NCATS NIH HHS UL1 TR003098NHLBI NIH HHS U01 HL146192NHLBI NIH HHS U01 HL146193NHLBI NIH HHS U01 HL146194NHLBI NIH HHS U01 HL146201NHLBI NIH HHS U01 HL146202NHLBI NIH HHS U01 HL146203NHLBI NIH HHS U01 HL146204NHLBI NIH HHS U01 HL146208NHLBI NIH HHS U01 HL146240NHLBI NIH HHS U01 HL146241NHLBI NIH HHS U01 HL146242NHLBI NIH HHS U01 HL146245NHLBI NIH HHS U01 HL146333NIAID NIH HHS P30 AI027767NIAID NIH HHS P30 AI050410NIMH NIH HHS P30 MH116867
6 · The paper itself

Abstract

Importance: Despite aging-related comorbidities representing a growing threat to quality-of-life and mortality among persons with HIV (PWH), clinical guidance for comorbidity screening and prevention is lacking. Understanding comorbidity distribution and severity by sex and gender is essential to informing guidelines for promoting healthy aging in adults with HIV. Objective: To assess the association of human immunodeficiency virus on the burden of aging-related comorbidities among US adults in the modern treatment era. Design, Setting, and Participants: This cross-sectional analysis included data from US multisite observational cohort studies of women (Women's Interagency HIV Study) and men (Multicenter AIDS Cohort Study) with HIV and sociodemographically comparable HIV-seronegative individuals. Participants were prospectively followed from 2008 for men and 2009 for women (when more than 80% of participants with HIV reported antiretroviral therapy use) through last observation up until March 2019, at which point outcomes were assessed. Data were analyzed from July 2020 to April 2021. Exposures: HIV, age, sex. Main Outcomes and Measures: Comorbidity burden (the number of total comorbidities out of 10 assessed) per participant; secondary outcomes included individual comorbidity prevalence. Linear regression assessed the association of HIV status, age, and sex with comorbidity burden. Results: A total of 5929 individuals were included (median [IQR] age, 54 [46-61] years; 3238 women [55%]; 2787 Black [47%], 1153 Hispanic or other [19%], 1989 White [34%]). Overall, unadjusted mean comorbidity burden was higher among women vs men (3.4 [2.1] vs 3.2 [1.8]; P = .02). Comorbidity prevalence differed by sex for hypertension (2188 of 3238 women [68%] vs 2026 of 2691 men [75%]), psychiatric illness (1771 women [55%] vs 1565 men [58%]), dyslipidemia (1312 women [41%] vs 1728 men [64%]), liver (1093 women [34%] vs 1032 men [38%]), bone disease (1364 women [42%] vs 512 men [19%]), lung disease (1245 women [38%] vs 259 men [10%]), diabetes (763 women [24%] vs 470 men [17%]), cardiovascular (493 women [15%] vs 407 men [15%]), kidney (444 women [14%] vs 404 men [15%]) disease, and cancer (219 women [7%] vs 321 men [12%]). In an unadjusted model, the estimated mean difference in comorbidity burden among women vs men was significantly greater in every age strata among PWH: age under 40 years, 0.33 (95% CI, 0.03-0.63); ages 40 to 49 years, 0.37 (95% CI, 0.12-0.61); ages 50 to 59 years, 0.38 (95% CI, 0.20-0.56); ages 60 to 69 years, 0.66 (95% CI, 0.42-0.90); ages 70 years and older, 0.62 (95% CI, 0.07-1.17). However, the difference between sexes varied by age strata among persons without HIV: age under 40 years, 0.52 (95% CI, 0.13 to 0.92); ages 40 to 49 years, -0.07 (95% CI, -0.45 to 0.31); ages 50 to 59 years, 0.88 (95% CI, 0.62 to 1.14); ages 60 to 69 years, 1.39 (95% CI, 1.06 to 1.72); ages 70 years and older, 0.33 (95% CI, -0.53 to 1.19) (P for interaction = .001). In the covariate-adjusted model, findings were slightly attenuated but retained statistical significance. Conclusions and Relevance: In this cross-sectional study, the overall burden of aging-related comorbidities was higher in women vs men, particularly among PWH, and the distribution of comorbidity prevalence differed by sex. Comorbidity screening and prevention strategies tailored by HIV serostatus and sex or gender may be needed.

Indexed as

AgingHIV InfectionsAdultAgedCohort StudiesComorbidityCross-Sectional StudiesFemaleHumansMaleMiddle AgedSex FactorsUnited States

Identifiers

PMID37548977
PMCPMC10407688

What Socratic holds

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Registered trials

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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 Socratic graph.