Evidence map›Paper›PMID 33501599›Full record

ArticleEuropean radiology2021

Small whole heart volume predicts cardiovascular events in patients with stable chest pain: insights from the PROMISE trial.

Borek Foldyna, Roman Zeleznik, Parastou Eslami, Thomas Mayrhofer, Jan-Erik Scholtz, Maros Ferencik, Daniel O Bittner, Nandini M Meyersohn, Stefan B Puchner, Hamed Emami and 5 more

Open access · bronzeAbstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
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

15 authors at 6 institutions in 5 countries.

Borek FoldynaCardiovascular Imaging Research Center, Massachusetts General Hospital - Harvard Medical School, 165 Cambridge Street, Suite 400, Boston, MA, 02114, USA. bfoldyna@mgh.harvard.edu.ORCID http://orcid.org/0000-0002-2466-4827
Roman ZeleznikArtificial Intelligence in Medicine (AIM) Program, Brigham and Women's Hospital - Harvard Medical School, Boston, MA, USA.
Parastou EslamiCardiovascular Imaging Research Center, Massachusetts General Hospital - Harvard Medical School, 165 Cambridge Street, Suite 400, Boston, MA, 02114, USA.
Thomas MayrhoferCardiovascular Imaging Research Center, Massachusetts General Hospital - Harvard Medical School, 165 Cambridge Street, Suite 400, Boston, MA, 02114, USA.
Jan-Erik ScholtzCardiovascular Imaging Research Center, Massachusetts General Hospital - Harvard Medical School, 165 Cambridge Street, Suite 400, Boston, MA, 02114, USA.
Maros FerencikCardiovascular Imaging Research Center, Massachusetts General Hospital - Harvard Medical School, 165 Cambridge Street, Suite 400, Boston, MA, 02114, USA.
Daniel O BittnerCardiovascular Imaging Research Center, Massachusetts General Hospital - Harvard Medical School, 165 Cambridge Street, Suite 400, Boston, MA, 02114, USA.
Nandini M MeyersohnCardiovascular Imaging Research Center, Massachusetts General Hospital - Harvard Medical School, 165 Cambridge Street, Suite 400, Boston, MA, 02114, USA.
Stefan B PuchnerCardiovascular Imaging Research Center, Massachusetts General Hospital - Harvard Medical School, 165 Cambridge Street, Suite 400, Boston, MA, 02114, USA.
Hamed EmamiCardiovascular Imaging Research Center, Massachusetts General Hospital - Harvard Medical School, 165 Cambridge Street, Suite 400, Boston, MA, 02114, USA.
Patricia A PellikkaDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Hugo J W L AertsCardiovascular Imaging Research Center, Massachusetts General Hospital - Harvard Medical School, 165 Cambridge Street, Suite 400, Boston, MA, 02114, USA.
Pamela S DouglasDuke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA.
Michael T LuCardiovascular Imaging Research Center, Massachusetts General Hospital - Harvard Medical School, 165 Cambridge Street, Suite 400, Boston, MA, 02114, USA.
Udo HoffmannCardiovascular Imaging Research Center, Massachusetts General Hospital - Harvard Medical School, 165 Cambridge Street, Suite 400, Boston, MA, 02114, USA.
Harvard University · USBrigham and Women's Hospital · USDuke University · USGoethe University Frankfurt · DEMayo Clinic · USRhön-Klinikum · DE

Funding

The impact of HIV viral diversity and cellular immunity on HIV pathogenesisP30AI060354 · NIAID · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI ROBERT A. PARKER · 2004 to 2026
$94.4M
PROMISE Trial: Clinical Coordinating CenterR01HL098237 · NHLBI · DUKE UNIVERSITY · PI DOUGLAS, PAMELA SUSAN · 2009 to 2014
$27.3M
PROMISE Trial: SDCCR01HL098236 · NHLBI · DUKE UNIVERSITY · PI LEE, KERRY L · 2009 to 2014
$5.0M
ROMICAT II - CCC - Lead ApplicationU01HL092040 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI HOFFMANN, UDO · 2009 to 2013
$4.9M
PROMISE Trial: Dx CoreR01HL098305 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI HOFFMANN, UDO · 2009 to 2014
$3.5M
PROMISE Trial: EQOL Coordinating CenterR01HL098235 · NHLBI · DUKE UNIVERSITY · PI MARK, DANIEL B · 2009 to 2014
$1.6M
Rule-Out Myocardial Infarction Using Computed Assisted Tomography-ROMICATII,DCCU01HL092022 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI SCHOENFELD, DAVID ALAN · 2009 to 2012
$1.2M
Cardiovascular Imaging in Ischemic Heart DiseaseK24HL113128 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI HOFFMANN, UDO · 2012 to 2020
$1.1M
American Heart Association 13FTF16450001American Heart Association 18UNPG34030172NHLBI NIH HHS K24 HL113128NHLBI NIH HHS R01 HL098235NHLBI NIH HHS R01HL098235NHLBI NIH HHS R01 HL098236NHLBI NIH HHS R01HL098236NHLBI NIH HHS R01 HL098237NHLBI NIH HHS R01HL098237NHLBI NIH HHS R01 HL098305NHLBI NIH HHS R01HL098305NHLBI NIH HHS U01 HL092022NHLBI NIH HHS U01HL092022NHLBI NIH HHS U01 HL092040NHLBI NIH HHS U01HL092040NIAID NIH HHS P30 AI060354Office of AIDS Research 5P30AI060354-14
6 · The paper itself

Abstract

objectivesThe size of the heart may predict major cardiovascular events (MACE) in patients with stable chest pain. We aimed to evaluate the prognostic value of 3D whole heart volume (WHV) derived from non-contrast cardiac computed tomography (CT).

methodsAmong participants randomized to the CT arm of the Prospective Multicenter Imaging Study for Evaluation of Chest Pain (PROMISE), we used deep learning to extract WHV, defined as the volume of the pericardial sac. We compared the WHV across categories of cardiovascular risk factors and coronary artery disease (CAD) characteristics and determined the association of WHV with MACE (all-cause death, myocardial infarction, unstable angina; median follow-up: 26 months).

resultsIn the 3798 included patients (60.5 ± 8.2 years; 51.5% women), the WHV was 351.9 ± 57.6 cm

conclusionsSmall WHV may represent a novel imaging marker of MACE in stable chest pain. In particular, WHV may improve risk stratification in patients with non-obstructive CAD, a cohort with an unmet need for better risk stratification. KEY POINTS: • Heart volume is easily assessable from non-contrast cardiac computed tomography. • Small heart volume may be an imaging marker of major adverse cardiac events independent and incremental to traditional cardiovascular risk factors and established CT measures of CAD. • Heart volume may improve cardiovascular risk stratification in patients with non-obstructive CAD.

Indexed as

Cardiac VolumeCoronary Artery DiseaseChest PainComputed Tomography AngiographyCoronary AngiographyFemaleHumansMalePredictive Value of TestsPrognosisProspective StudiesRisk AssessmentRisk FactorsCardiac volumeCoronary diseaseHeart failureMultidetector computed tomography

Identifiers

PMID33501599
PMCPMC8273107
OpenAlexW3123341179

What OpenQuestion holds

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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.