Evidence map›Paper›PMID 33514365›Full record

ArticleCardiovascular diabetology2021

Metabolic syndrome, fatty liver, and artificial intelligence-based epicardial adipose tissue measures predict long-term risk of cardiac events: a prospective study.

Andrew Lin, Nathan D Wong, Aryabod Razipour, Priscilla A McElhinney, Frederic Commandeur, Sebastien J Cadet, Heidi Gransar, Xi Chen, Stephanie Cantu, Robert J H Miller and 7 more

Registry-linked trialOpen access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cardiovascular diabetology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00927693 (Early Identification of Subclinical Atherosclerosis Using Non-Invasive Imaging Research), which is not on this map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
7.4field-weighted citation impact, top 2% 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.

NCT00927693 nacompletednot on this map

Early Identification of Subclinical Atherosclerosis Using Non-Invasive Imaging Research (EISNER)

TypeinterventionalSponsorCedars-Sinai Medical CenterRan2001 to 2010Enrolled2,137ConditionsAtherosclerosis, Coronary Artery DiseaseArmsCoronary Artery Calcium (CAC) Scan
3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.

  1. Pooled it
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  7. Metabolic Syndrome and Atrial Cardiomyopathy on the Risk of Stroke Mortality in the General Population.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 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

17 authors at 4 institutions in 2 countries.

Andrew LinBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, 116 N Robertson Boulevard, Los Angeles, CA, 90048, USA.
Nathan D WongHeart Disease Prevention Program, Division of Cardiology, University of California at Irvine, Irvine, CA, USA.
Aryabod RazipourBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, 116 N Robertson Boulevard, Los Angeles, CA, 90048, USA.
Priscilla A McElhinneyBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, 116 N Robertson Boulevard, Los Angeles, CA, 90048, USA.
Frederic CommandeurBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, 116 N Robertson Boulevard, Los Angeles, CA, 90048, USA.
Sebastien J CadetDepartment of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Heidi GransarDepartment of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Xi ChenDepartment of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Stephanie CantuDepartment of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Robert J H MillerDepartment of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Nitesh NerlekarMonash Cardiovascular Research Centre, MonashHeart, Clayton, Victoria, Australia.
Dennis T L WongMonash Cardiovascular Research Centre, MonashHeart, Clayton, Victoria, Australia.
Piotr J SlomkaDepartment of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Alan RozanskiDivision of Cardiology, Mount Sinai St Lukes Hospital, New York, NY, USA.
Balaji K TamarappooDepartment of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Daniel S BermanDepartment of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Damini DeyBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, 116 N Robertson Boulevard, Los Angeles, CA, 90048, USA. damini.dey@cshs.org.ORCID 0000-0003-2236-6970
Cedars-Sinai Medical Center · USMonash Medical Centre · AUSt. Luke's Hospital · USUniversity of California, Irvine · US

Funding

NHLBI NIH HHS R01 HL133616NHLBI NIH HHS R01 HL148787
6 · The paper itself

Abstract

backgroundWe sought to evaluate the association of metabolic syndrome (MetS) and computed tomography (CT)-derived cardiometabolic biomarkers (non-alcoholic fatty liver disease [NAFLD] and epicardial adipose tissue [EAT] measures) with long-term risk of major adverse cardiovascular events (MACE) in asymptomatic individuals.

methodsThis was a post-hoc analysis of the prospective EISNER (Early-Identification of Subclinical Atherosclerosis by Noninvasive Imaging Research) study of participants who underwent baseline coronary artery calcium (CAC) scoring CT and 14-year follow-up for MACE (myocardial infarction, late revascularization, or cardiac death). EAT volume (cm

resultsIn the final population of 2068 participants (59% males, 56 ± 9 years), those with MetS (n = 280;13.5%) had a greater prevalence of NAFLD (26.0% vs. 9.9%), higher EAT volume (114.1 cm

conclusionsMetS, NAFLD, and artificial intelligence-based EAT measures predict long-term MACE risk in asymptomatic individuals. Imaging biomarkers of cardiometabolic disease have the potential for integration into routine reporting of CAC scoring CT to enhance cardiovascular risk stratification. Trial registration NCT00927693.

Indexed as

Deep LearningRadiographic Image Interpretation, Computer-AssistedTomography, X-Ray ComputedAdipose TissueAdiposityAgedAged, 80 and overCardiometabolic Risk FactorsFemaleHeart DiseasesHumansLos AngelesMaleMetabolic SyndromeMiddle AgedNon-alcoholic Fatty Liver DiseaseArtificial intelligenceCardiovascular riskEpicardial adipose tissueMetabolic syndromeNon-alcoholic fatty liver disease

Identifiers

PMID33514365
PMCPMC7847161
OpenAlexW3124924666

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.