Evidence map›Paper›PMID 31729142›Full record

ArticleHIV medicine2020

Subclinical cardiovascular disease in HIV controller and long-term nonprogressor populations.

R M Brusca, D B Hanna, N I Wada, J N Blankson, M D Witt, L P Jacobson, L Kingsley, F J Palella, M Budoff, T T Brown and 10 more

Open access · greenAbstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in HIV medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 16 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

20 authors at 11 institutions in 1 country.

R M Brusca *Johns Hopkins University School of Medicine, Baltimore, MD, USA.
D B Hanna *Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.ORCID 0000-0002-1985-9865
N I WadaJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
J N BlanksonJohns Hopkins University School of Medicine, Baltimore, MD, USA.
M D WittLos Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA.
L P JacobsonJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
L KingsleyUniversity of Pittsburgh, Pittsburgh, PA, USA.
F J PalellaNorthwestern University, Chicago, IL, USA.
M BudoffLos Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA.
T T BrownJohns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID 0000-0001-8599-278X
K AnastosDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
J M LazarDepartment of Medicine, SUNY-Downstate Medical Center, Brooklyn, NY, USA.
W J MackPreventive Medicine, University of Southern California, Los Angeles, CA, USA.
P BacchettiDepartment of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA.
P C TienDepartment of Medicine and Clinical Pharmacy, University of California, San Francisco, CA, USA.
Y GolzarCook County Health and Hospital System, Chicago, IL, USA.
M PlankeyDepartment of Medicine, Division of Infectious Diseases, Georgetown University Medical Center, Washington, DC, USA.
E GolubJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
R C KaplanDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
W S PostJohns Hopkins University School of Medicine, Baltimore, MD, USA.
Johns Hopkins University · USAlbert Einstein College of Medicine · USThe Lundquist Institute · USCook County Health and Hospitals System · USGeorgetown University · USNorthwestern University · USSan Francisco VA Medical Center · USSUNY Downstate Health Sciences University · USUniversity of California, San Francisco · USUniversity of Pittsburgh · USUniversity of Southern California · US

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Monica Gandhi · 1988 to 2026
$93.6M
Engaging University of California Stakeholders for Biorespository ResearchUL1TR000004 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRANDIS, JENNIFER RUBIN · 2012 to 2015
$78.0M
Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
Institute for Clinical and Translational Research (UL1)UL1RR025005 · NCRR · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2007 to 2011
$75.8M
NATURAL HISTORY OF AIDS IN HOMOSEXUAL MENU01AI035040 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DETELS, ROGER, MARTINEZ-MAZA, OTONIEL · 1993 to 2018
$75.2M
University of Pittsburgh Multicenter AIDS Cohort Study (MACS)U01AI035041 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MARTINSON, JEREMY JAMES, RINALDO, CHARLES R · 1993 to 2018
$71.4M
MULTICENTER AIDS COHORT STUDYU01AI035039 · NIAID · NORTHWESTERN UNIVERSITY AT CHICAGO · PI WOLINSKY, STEVEN M · 1993 to 2018
$66.4M
Women's Interagency HIV Study (WIHS-V)U01AI035004 · NIAID · MONTEFIORE MEDICAL CENTER (BRONX, NY) · PI ANASTOS, KATHRYN M., SHARMA, ANJALI · 1993 to 2018
$65.7M
WOMEN'S INTERAGENCY HIV STUDY ORGANIZATION, MANAGEMENT AND COMMUNICATIONSU01AI034989 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AOUIZERAT, BRADLEY E, GREENBLATT, RUTH MARTHA · 1993 to 2018
$65.6M
Multicenter Aids Cohort Study- Part B (Baltimore Site)U01AI035042 · NIAID · JOHNS HOPKINS UNIVERSITY · PI BROWN, TODD T, MARGOLICK, JOSEPH B. · 1993 to 2018
$61.5M
Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
NCATS NIH HHS UL1 TR000004NCATS NIH HHS UL1-TR000004NCATS NIH HHS UL1 TR000124NCATS NIH HHS UL1-TR000124NCATS NIH HHS UL1 TR000454NCATS NIH HHS UL1-TR000454NCATS NIH HHS UL1 TR001079NCATS NIH HHS UL1-TR 001079NCRR NIH HHS UL1 RR 025005NCRR NIH HHS UL1 RR025005NHLBI NIH HHS 5R01 HL095126NHLBI NIH HHS K01 HL137557NHLBI NIH HHS K01-HL-137557NHLBI NIH HHS R01 HL083760NHLBI NIH HHS R01-HL-083760NHLBI NIH HHS R01 HL095126NHLBI NIH HHS R01 HL095129NHLBI NIH HHS R01 HL095140NHLBI NIH HHS R01-HL-095140NHLBI NIH HHS R01 HL126543NHLBI NIH HHS R01-HL-126543NHLBI NIH HHS R01 HL132794NHLBI NIH HHS R01-HL-132794NHLBI NIH HHS R01 HL140976NHLBI NIH HHS R01-HL-140976NHLBI NIH HHS R21 HL120394NHLBI NIH HHS R21-HL-120394NHLBI NIH HHS U01 HL146193NHLBI NIH HHS U01 HL146201NHLBI NIH HHS U01 HL146202NHLBI NIH HHS U01 HL146204NHLBI NIH HHS U01 HL146208NHLBI NIH HHS U01 HL146240NHLBI NIH HHS U01 HL146333NIAID NIH HHS K24 AI120834NIAID NIH HHS P30 AI027763NIAID NIH HHS P30 AI050410NIAID NIH HHS R01 AI140789NIAID 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 AI042590NIAID NIH HHS U01 AI103390NIAID NIH HHS U01 AI103397NIAID NIH HHS U01 AI103401NIAID NIH HHS U01 AI103408NIAID NIH HHS UM1 AI035043NIA NIH HHS R21 AG059505NICHD NIH HHS U01 HD032632
6 · The paper itself

Abstract

objectivesElite controllers (ECs), viraemic controllers (VCs), and long-term nonprogressors (LTNPs) control HIV viral replication or maintain CD4 T-cell counts without antiretroviral therapy, but may have increased cardiovascular disease (CVD) risk compared to HIV-uninfected persons. We evaluated subclinical carotid and coronary atherosclerosis and inflammatory biomarker levels among HIV controllers, LTNPs and noncontrollers and HIV-uninfected individuals in the Multicenter AIDS Cohort Study (MACS) and the Women's Interagency HIV Study (WIHS).

methodsWe measured carotid plaque presence and common carotid artery intima-media thickness (IMT) in 1729 women and 1308 men, and the presence of coronary artery calcium and plaque in a subgroup of men. Associations between HIV control category and carotid and coronary plaque prevalences were assessed by multivariable regression analyses adjusting for demographics and CVD risk factors. Serum inflammatory biomarker concentrations [soluble CD163 (sCD163), soluble CD14 (sCD14), galectin-3 (Gal-3), galectin-3 binding protein (Gal-3BP) and interleukin (IL)-6] were measured and associations with HIV control category assessed.

resultsWe included 135 HIV controllers (30 ECs) and 135 LTNPs in the study. Carotid plaque prevalence and carotid IMT were similar in HIV controllers, LTNPs and HIV-uninfected individuals. HIV controllers and LTNPs had lower prevalences of carotid plaque compared to viraemic HIV-infected individuals. The prevalence of coronary atherosclerosis was similar in HIV controllers/LTNPs compared to HIV-uninfected and viraemic HIV-infected men. Controllers and LTNPs had higher concentrations of sCD163 and sCD14 compared to HIV-uninfected persons.

conclusionsSubclinical CVD was similar in HIV controllers, LTNPs and HIV-uninfected individuals despite elevated levels of some inflammatory biomarkers. Future studies of HIV controllers and LTNPs are needed to characterize the risk of CVD among HIV-infected persons.

Indexed as

AdultAntigens, CDAntigens, Differentiation, MyelomonocyticBiomarkersCalciumCarotid Artery DiseasesCarotid Intima-Media ThicknessCD163 AntigenCD4 Lymphocyte CountCohort StudiesFemaleHIV InfectionsHIV Long-Term SurvivorsHumansLipopolysaccharide ReceptorsMaleAntigens, CDAntigens, Differentiation, MyelomonocyticBiomarkersCalciumCD14 protein, humanCD163 AntigenLipopolysaccharide ReceptorsReceptors, Cell SurfaceAIDScarotid atherosclerosiscoronary atherosclerosisHIVsubclinical cardiovascular disease

Identifiers

PMID31729142
PMCPMC7069771
OpenAlexW2989263898

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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.