Evidence map›Paper›PMID 25440591›Full record

ArticleJACC. Cardiovascular imaging2014

Visceral adiposity and the risk of metabolic syndrome across body mass index: the MESA Study.

Ravi V Shah, Venkatesh L Murthy, Siddique A Abbasi, Ron Blankstein, Raymond Y Kwong, Allison B Goldfine, Michael Jerosch-Herold, João A C Lima, Jingzhong Ding, Matthew A Allison

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in JACC. Cardiovascular imaging, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 265 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
265citing papers in PubMed, 5 pooled it
16.2field-weighted citation impact, top 1% 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

265 citing papers in PubMed, 5 syntheses or guidelines pooled it, 400 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Trial
  7. Trial
  8. Trial
  9. Trial
  10. Visceral Adiposity and Progression of ADPKD: A Cohort Study of Patients From the TEMPO 3:4 Trial.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2024
    Trial
  11. Effects ofNutrients · 2024
    Trial
  12. Trial
  13. Trial
  14. Acute pancreatitis-Searching for the elusive crystal ball.Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology · 2026
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

205 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 6 institutions in 1 country.

Ravi V ShahCardiology Division, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts.
Venkatesh L MurthyDepartment of Medicine (Cardiovascular Medicine Division) and Department of Radiology (Nuclear Medicine and Cardiothoracic Imaging Divisions), University of Michigan, Ann Arbor, Michigan. Electronic address: vlmurthy@med.umich.edu.
Siddique A AbbasiNon-Invasive Cardiovascular Imaging, Brigham and Women's Hospital, Boston, Massachusetts.
Ron BlanksteinNon-Invasive Cardiovascular Imaging, Brigham and Women's Hospital, Boston, Massachusetts.
Raymond Y KwongNon-Invasive Cardiovascular Imaging, Brigham and Women's Hospital, Boston, Massachusetts.
Allison B GoldfineJoslin Diabetes Center, Boston, Massachusetts.
Michael Jerosch-HeroldNon-Invasive Cardiovascular Imaging, Brigham and Women's Hospital, Boston, Massachusetts.
João A C LimaDivision of Cardiology, Johns Hopkins Medical Institute, Baltimore, Maryland.
Jingzhong DingDepartment of Medicine, Wake Forest Baptist Medical Center, Winston-Salem, North Carolina.
Matthew A AllisonDepartment of Family and Preventative Medicine, University of California-San Diego, San Diego, California.
Brigham and Women's Hospital · USAtrium Health Wake Forest Baptist · USJoslin Diabetes Center · USMassachusetts General Hospital · USUniversity of California San Diego · USUniversity of Michigan · US

Funding

SPECIAL ASSAY COREP30DK036836 · NIDDK · JOSLIN DIABETES CENTER · PI ROHIT N. KULKARNI · 1986 to 2026
$50.5M
Noninvasive Cardiovascular Imaging Research Training ProgramT32HL094301 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI Marcelo F DI CARLI · 2010 to 2026
$7.8M
Abdominal Body Composition, Inflammation and Cardiovascular DiseaaseR01HL088451 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ALLISON, MATTHEW A · 2007 to 2011
$2.5M
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--EBCT READINGN01HC095169 · HC · LA BIOMED RES INST/ HARBOR UCLA MED CTR · PI DETRANO, ROBERT · 1999 to 2001
$124k
NHLBI NIH HHS N01 HC095169NHLBI NIH HHS R01 HL088451NHLBI NIH HHS R01-HL088451NHLBI NIH HHS T32 HL094301NIDDK NIH HHS P30 DK036836
6 · The paper itself

Abstract

objectivesThis study sought to evaluate differential effects of visceral fat (VF) and subcutaneous fat and their effects on metabolic syndrome (MetS) risk across body mass index (BMI) categories.

backgroundThe regional distribution of adipose tissue is an emerging risk factor for cardiometabolic disease, although serial changes in fat distribution have not been extensively investigated. VF and its alterations over time may be a better marker for risk than BMI in normal weight and overweight or obese individuals.

methodsWe studied 1,511 individuals in the MESA (Multi-Ethnic Study of Atherosclerosis) with adiposity assessment by computed tomography (CT). A total of 253 participants without MetS at initial scan underwent repeat CT (median interval 3.3 years). We used discrete Cox regression with net reclassification to investigate whether baseline and changes in VF area are associated with MetS.

resultsHigher VF was associated with cardiometabolic risk and coronary artery calcification, regardless of BMI. After adjustment, VF was more strongly associated with incident MetS than subcutaneous fat regardless of weight, with a 28% greater MetS hazard per 100 cm(2)/m VF area and significant net reclassification (net reclassification index: 0.44, 95% confidence interval [CI]: 0.29 to 0.60) over clinical risk. In individuals with serial imaging, initial VF (hazard ratio: 1.24 per 100 cm(2)/m, 95% CI: 1.08 to 1.44 per 100 cm(2)/m, p = 0.003) and change in VF (hazard ratio: 1.05 per 5% change, 95% CI: 1.01 to 1.08 per 5% change, p = 0.02) were associated with MetS after adjustment. Changes in subcutaneous fat were not associated with incident MetS after adjustment for clinical risk and VF area.

conclusionsVF is modestly associated with BMI. However, across BMI, a single measure of and longitudinal change in VF predict MetS, even accounting for weight changes. Visceral adiposity is essential to assessing cardiometabolic risk, regardless of age, race, or BMI, and may serve as a marker and target of therapy in cardiometabolic disease.

Indexed as

AdiposityAgedBiomarkersBlood GlucoseBlood PressureBody Mass IndexChi-Square DistributionHumansIncidenceIntra-Abdominal FatLipidsMaleMetabolic SyndromeMiddle AgedObesityPredictive Value of TestsBiomarkersBlood GlucoseLipidscardiometabolic riskmetabolic syndromeobesity

Identifiers

PMID25440591
PMCPMC4268163
OpenAlexW63956684

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.