Evidence map›Paper›PMID 32063057›Full record

Trial reportCirculation. Cardiovascular imaging2020

Deep Learning-Based Quantification of Epicardial Adipose Tissue Volume and Attenuation Predicts Major Adverse Cardiovascular Events in Asymptomatic Subjects.

Evann Eisenberg, Priscilla A McElhinney, Frederic Commandeur, Xi Chen, Sebastien Cadet, Markus Goeller, Aryabod Razipour, Heidi Gransar, Stephanie Cantu, Robert J H Miller and 7 more

Registry-linked trialOpen access · bronzeAbstract readClinical TrialMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Circulation. Cardiovascular imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06784154 (The Association of Ectopic Fat and Cardiovascular Disease in People Living With HIV and General Populations), which is not on this map. Cited by 90 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed, 1 pooled it
12.3field-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.

NCT06784154 recruitingnot on this mapstarted 2024, after this paper: background citation

The Association of Ectopic Fat and Cardiovascular Disease in People Living With HIV and General Populations: A Cross Sectional Analysis

TypeobservationalSponsorUniversity of LiverpoolRan2024 to 2027Enrolled100ConditionsCardiometabolic Syndrome, HivArmsNon-interventional
3 · Its place in the literature

Who cites it

90 citing papers in PubMed, 1 synthesis or guideline pooled it, 156 citations in OpenAlex.

  1. Guideline
  2. Trial
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Review

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

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 5 institutions in 2 countries.

Evann EisenbergDepartment of Imaging and Medicine and the Smidt Heart Institute (E.E., S.C., H.G., S.C., R.J.H.M., P.J.S., B.K.T., D.S.B.), Cedars-Sinai Medical Center, Los Angeles, CA.
Priscilla A McElhinneyBiomedical Imaging Research Institute (P.A.M., F.C., X.C., M.G., A.R., D.D.), Cedars-Sinai Medical Center, Los Angeles, CA.
Frederic CommandeurBiomedical Imaging Research Institute (P.A.M., F.C., X.C., M.G., A.R., D.D.), Cedars-Sinai Medical Center, Los Angeles, CA.
Xi ChenBiomedical Imaging Research Institute (P.A.M., F.C., X.C., M.G., A.R., D.D.), Cedars-Sinai Medical Center, Los Angeles, CA.
Sebastien CadetDepartment of Imaging and Medicine and the Smidt Heart Institute (E.E., S.C., H.G., S.C., R.J.H.M., P.J.S., B.K.T., D.S.B.), Cedars-Sinai Medical Center, Los Angeles, CA.
Markus GoellerBiomedical Imaging Research Institute (P.A.M., F.C., X.C., M.G., A.R., D.D.), Cedars-Sinai Medical Center, Los Angeles, CA.
Aryabod RazipourBiomedical Imaging Research Institute (P.A.M., F.C., X.C., M.G., A.R., D.D.), Cedars-Sinai Medical Center, Los Angeles, CA.
Heidi GransarDepartment of Imaging and Medicine and the Smidt Heart Institute (E.E., S.C., H.G., S.C., R.J.H.M., P.J.S., B.K.T., D.S.B.), Cedars-Sinai Medical Center, Los Angeles, CA.
Stephanie CantuDepartment of Imaging and Medicine and the Smidt Heart Institute (E.E., S.C., H.G., S.C., R.J.H.M., P.J.S., B.K.T., D.S.B.), Cedars-Sinai Medical Center, Los Angeles, CA.
Robert J H MillerDepartment of Imaging and Medicine and the Smidt Heart Institute (E.E., S.C., H.G., S.C., R.J.H.M., P.J.S., B.K.T., D.S.B.), Cedars-Sinai Medical Center, Los Angeles, CA.
Piotr J SlomkaDepartment of Imaging and Medicine and the Smidt Heart Institute (E.E., S.C., H.G., S.C., R.J.H.M., P.J.S., B.K.T., D.S.B.), Cedars-Sinai Medical Center, Los Angeles, CA.
Nathan D WongDepartment of Medicine, University of California at Irvine, CA (N.D.W.).
Alan RozanskiDivision of Cardiology, Mount Sinai St Lukes Hospital, New York, NY (A.R.).
Stephan AchenbachFriedrich-Alexander-University Erlangen-Nürnberg (FAU), Faculty of Medicine, Department of Cardiology, Erlangen, Germany (M.G., S.A.).
Balaji K TamarappooDepartment of Imaging and Medicine and the Smidt Heart Institute (E.E., S.C., H.G., S.C., R.J.H.M., P.J.S., B.K.T., D.S.B.), Cedars-Sinai Medical Center, Los Angeles, CA.
Daniel S BermanDepartment of Imaging and Medicine and the Smidt Heart Institute (E.E., S.C., H.G., S.C., R.J.H.M., P.J.S., B.K.T., D.S.B.), Cedars-Sinai Medical Center, Los Angeles, CA.
Damini DeyBiomedical Imaging Research Institute (P.A.M., F.C., X.C., M.G., A.R., D.D.), Cedars-Sinai Medical Center, Los Angeles, CA.
Cedars-Sinai Smidt Heart Institute · USCedars-Sinai Medical Center · USFriedrich-Alexander-Universität Erlangen-Nürnberg · DEMount Sinai Hospital · USUniversity of California, Irvine · US

Funding

Automated quantitative CT imaging of epicardial adipose tissue and risk of cardiac eventsR01HL133616 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI DEY, DAMINI · 2016 to 2019
$2.6M
NHLBI NIH HHS R01 HL133616
6 · The paper itself

Abstract

backgroundEpicardial adipose tissue (EAT) volume (cm

methodsOur study included 2068 asymptomatic subjects (56±9 years, 59% male) from the EISNER trial (Early Identification of Subclinical Atherosclerosis by Noninvasive Imaging Research) with long-term follow-up after coronary artery calcium measurement. EAT volume and mean attenuation were quantified using automated deep learning software from noncontrast cardiac computed tomography. MACE was defined as myocardial infarction, late (>180 days) revascularization, and cardiac death. EAT measures were compared to coronary artery calcium score and atherosclerotic cardiovascular disease risk score for MACE prediction.

resultsAt 14±3 years, 223 subjects suffered MACE. Increased EAT volume and decreased EAT attenuation were both independently associated with MACE. Atherosclerotic cardiovascular disease risk score, coronary artery calcium, and EAT volume were associated with increased risk of MACE (hazard ratio [95%CI]: 1.03 [1.01-1.04]; 1.25 [1.19-1.30]; and 1.35 [1.07-1.68],

conclusionsFully automated EAT volume and attenuation quantification by deep learning from noncontrast cardiac computed tomography can provide prognostic value for the asymptomatic patient, without additional imaging or physician interaction.

Indexed as

Deep LearningAdipose TissueAgedAged, 80 and overAsymptomatic DiseasesCoronary AngiographyCoronary Artery DiseaseCoronary VesselsFemaleHumansMaleMiddle AgedPericardiumPredictive Value of TestsPrognosisRisk Assessmentadipose tissuecalciumdeep learningprognosistomography

Identifiers

PMID32063057
PMCPMC8422968
OpenAlexW3008000699

What Socratic holds

Textmetadata
LicenceTDM
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.