Evidence map›Paper›PMID 29396194›Full record

ArticleJournal of cardiovascular computed tomography

Low thigh muscle mass is associated with coronary artery stenosis among HIV-infected and HIV-uninfected men: The Multicenter AIDS Cohort Study (MACS).

Martin Tibuakuu, Di Zhao, Ankita Saxena, Todd T Brown, Lisa P Jacobson, Frank J Palella, Mallory D Witt, Susan L Koletar, Joseph B Margolick, Eliseo Guallar and 4 more

Open access · greenAbstract readComparative StudyMulticenter Study
In one paragraph

Article in Journal of cardiovascular computed tomography. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
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 at 6 institutions in 1 country.

Martin TibuakuuCiccarone Center for the Prevention of Heart Disease, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Medicine, St. Luke's Hospital, Chesterfield, MO, USA.
Di ZhaoDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Ankita SaxenaDepartment of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Todd T BrownDivision of Endocrinology, Diabetes, and Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Lisa P JacobsonDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Frank J PalellaDepartment of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Mallory D WittDepartment of Medicine, Harbor-UCLA Medical Center, Torrance, CA, USA; Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, USA.
Susan L KoletarDivision of Infectious Diseases, Ohio State University, Columbus, OH, USA.
Joseph B MargolickDepartment of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Eliseo GuallarDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Sai Krishna C KoradaNortheast Ohio Medical University, Rootstown, OH, USA.
Matthew J BudoffLos Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, USA.
Wendy S PostCiccarone Center for the Prevention of Heart Disease, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Erin D MichosCiccarone Center for the Prevention of Heart Disease, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. Electronic address: edonnell@jhmi.edu.
Johns Hopkins University · USThe Lundquist Institute · USIcahn School of Medicine at Mount Sinai · USNortheast Ohio Medical University · USNorthwestern University · USThe Ohio State University · US

Funding

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
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
Center for the Analysis & Management of the Multicenter AIDS Cohort StudyUM1AI035043 · NIAID · JOHNS HOPKINS UNIVERSITY · PI D'SOUZA, GYPSYAMBER, JACOBSON, LISA P · 2012 to 2018
$20.7M
Subclinical Vascular Disease and Metabolic Abnormalities in MACSR01HL095129 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI POST, WENDY S · 2008 to 2012
$4.9M
Mentoring in Endocrine and Metabolic Abnormalities in HIV and AgingK24AI120834 · NIAID · JOHNS HOPKINS UNIVERSITY · PI BROWN, TODD T · 2015 to 2025
$1.8M
NCRR NIH HHS UL1 RR025005NHLBI NIH HHS R01 HL095129NIAID NIH HHS K24 AI120834NIAID NIH HHS U01 AI035039NIAID NIH HHS U01 AI035040NIAID NIH HHS U01 AI035041NIAID NIH HHS U01 AI035042NIAID NIH HHS UM1 AI035043
6 · The paper itself

Abstract

backgroundHIV-infected individuals are at increased risk for both sarcopenia and cardiovascular disease. Whether an association between low muscle mass and subclinical coronary artery disease (CAD) exists, and if it is modified by HIV serostatus, are unknown.

methodsWe performed cross-sectional analysis of 513 male MACS participants (72% HIV-infected) who underwent mid-thigh computed tomography (CT) and non-contrast cardiac CT for coronary artery calcium (CAC) during 2010-2013. Of these, 379 also underwent coronary CT angiography for non-calcified coronary plaque (NCP) and obstructive coronary stenosis ≥50%. Multivariable-adjusted Poisson regression was used to estimate prevalence risk ratios of associations between low muscle mass (<20th percentile of the HIV-uninfected individuals in the sample) and CAC, NCP and obstructive stenosis.

resultsThe prevalence of low thigh muscle mass was similar by HIV serostatus (20%). There was no association of low muscle mass with CAC or NCP. However, low thigh muscle mass was significantly associated with a 2.5-fold higher prevalence of obstructive coronary stenosis, after adjustment for demographics and traditional CAD risk factors [PR 2.46 (95% CI 1.51, 4.01)]. This association remained significant after adjustment for adiposity, inflammation, and physical activity. There was no significant interaction by HIV serostatus (p-interaction = 0.90).

conclusionsIn this exploratory analysis, low thigh muscle mass was significantly associated with subclinical obstructive coronary stenosis. Additional studies involving larger sample sizes and prospective analyses are needed to confirm the potential utility of measuring mid-thigh muscle mass for identifying individuals at increased risk for obstructive CAD who might benefit from more aggressive risk factor management.

Indexed as

Computed Tomography AngiographyTomography, X-Ray ComputedAgedBody CompositionChi-Square DistributionCoronary AngiographyCoronary Artery DiseaseCoronary StenosisCoronary VesselsCross-Sectional StudiesHIV InfectionsHumansMaleMiddle AgedMultivariate AnalysisMuscle, SkeletalCoronary artery stenosisCoronary atherosclerosisHIV-infectionMuscle massSarcopenia

Identifiers

PMID29396194
PMCPMC5869123
OpenAlexW2794131060

What OpenQuestion holds

Textmetadata
LicenceTDM
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.