Evidence map›Paper›PMID 31872575›Full record

ArticleObesity (Silver Spring, Md.)2020

Associations of Thigh and Abdominal Adipose Tissue Radiodensity with Glucose and Insulin in Nondiabetic African-Ancestry Men.

Curtis Tilves, Joseph M Zmuda, Allison L Kuipers, J Jeffrey Carr, James G Terry, Victor Wheeler, Shyamal D Peddada, Sangeeta Nair, Iva Miljkovic

Open access · greenAbstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2020. 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
0.6field-weighted citation impact, top 26% 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, 9 citations in OpenAlex.

  1. Subcutaneous Fat Density Is an Independent Predictor of Adverse Outcomes and Shows Early Improvement After Liver Transplantation.Liver international : official journal of the International Association for the Study of the Liver · 2026
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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

9 authors at 3 institutions in 2 countries.

Curtis TilvesDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0003-0281-5986
Joseph M ZmudaDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Allison L KuipersDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
J Jeffrey CarrDepartment of Radiology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
James G TerryDepartment of Radiology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Victor WheelerTobago Health Studies Office, Scarborough, Tobago, Trinidad & Tobago.
Shyamal D PeddadaDepartment of Biostatistics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Sangeeta NairDepartment of Radiology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Iva MiljkovicDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
University of Pittsburgh · USVanderbilt University Medical Center · USUniversity of Trinidad and Tobago · TT

Funding

Cardiovascular Epidemiology Training ProgramT32HL083825 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI AKIRA SEKIKAWA · 2008 to 2026
$6.1M
Epidemiology of Bone Loss in African MenR01AR049747 · NIAMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ZMUDA, JOSEPH M. · 2003 to 2014
$5.9M
Epidemiology of Obesity, Diabetes, and Hypertension in African CaribbeansR01HL143793 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MILJKOVIC, IVA · 2018 to 2021
$2.7M
Ectopic adiposity in black men with high type 2 diabetes riskR01DK097084 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MILJKOVIC, IVA · 2013 to 2016
$1.9M
Molecular Epidemiology of the Wnt Pathway in Subclinical Cardiovascular DiseaseK01HL125658 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KUIPERS, ALLISON L · 2015 to 2019
$693k
Association of Type 2 Diabetes with Liver and Muscle Adiposity in Black MenR03DK092348 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MILJKOVIC, IVA · 2011 to 2012
$163k
NHLBI NIH HHS K01 HL125658NHLBI NIH HHS K01-NL125658NHLBI NIH HHS R01 HL143793NHLBI NIH HHS T32 HL083825NIAMS NIH HHS R01 AR049747NIAMS NIH HHS R01-AR049747NIDDK NIH HHS R01 DK097084NIDDK NIH HHS R01-DK097084NIDDK NIH HHS R03 DK092348NIDDK NIH HHS R03-DK092348
6 · The paper itself

Abstract

objectiveDecreased radiodensity of adipose tissue (AT) located in the visceral AT (VAT), subcutaneous AT (SAT), and intermuscular AT (IMAT) abdominal depots is associated with hyperglycemia, hyperinsulinemia, and insulin resistance independent of AT volumes. These associations were sought in African-ancestry men, who have higher risk for type 2 diabetes and have been underrepresented in previous studies.

methodsThis cross-sectional analysis included 505 nondiabetic men of African-Caribbean ancestry (median age: 61 years; median BMI: 26.8 kg/m

resultsHigher radiodensity in any AT depot was associated with lower log-insulin and log-HOMA2-IR (β range: -0.16 to -0.18 for each; all P < 0.0001). No AT radiodensity was associated with glucose. Thigh IMAT radiodensity associations were independent of, and similar in magnitude to, VAT radiodensities. Model fit statistics suggested that AT radiodensities were a better predictor for insulin and insulin resistance compared with AT volumes in individuals with overweight and obesity.

conclusionsAT radiodensities at multiple depots are significantly associated with insulin and insulin resistance in African-ancestry men.

Indexed as

Adipose TissueAdiposityAdultAgedBlack PeopleBlood GlucoseBody CompositionCross-Sectional StudiesGlucoseHumansInsulinIntra-Abdominal FatMaleMiddle AgedObesityOverweightBlood GlucoseGlucoseInsulin

Identifiers

PMID31872575
PMCPMC6980942
OpenAlexW2998307507

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.