Evidence map›Paper›PMID 36645580›Full record

ArticleJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2023

Relationship between impaired myocardial blood flow by positron emission tomography and low-attenuation plaque burden and pericoronary adipose tissue attenuation from coronary computed tomography: From the prospective PACIFIC trial.

Keiichiro Kuronuma, Pepijn A van Diemen, Donghee Han, Andrew Lin, Kajetan Grodecki, Jacek Kwiecinski, Manish Motwani, Priscilla McElhinney, Guadalupe Flores Tomasino, Caroline Park and 12 more

Open access · greenAbstract read
In one paragraph

Article in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2023. 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
0.9field-weighted citation impact, top 25% 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, 4 citations in OpenAlex.

  1. Article
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors at 7 institutions in 5 countries.

Keiichiro KuronumaDepartment of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Pepijn A van DiemenDepartment of Cardiology, Amsterdam UMC, VUmc, Amsterdam, The Netherlands.
Donghee HanDepartment of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Andrew LinBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, 116 N Robertson Boulevard, Los Angeles, CA, 90048, USA.
Kajetan GrodeckiBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, 116 N Robertson Boulevard, Los Angeles, CA, 90048, USA.
Jacek KwiecinskiDepartment of Interventional Cardiology and Angiology, Institute of Cardiology, Warsaw, Poland.
Manish MotwaniManchester Heart Centre, Manchester University NHS Foundation Trust, Manchester, UK.
Priscilla McElhinneyBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, 116 N Robertson Boulevard, Los Angeles, CA, 90048, USA.
Guadalupe Flores TomasinoBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, 116 N Robertson Boulevard, Los Angeles, CA, 90048, USA.
Caroline ParkBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, 116 N Robertson Boulevard, Los Angeles, CA, 90048, USA.
Alan KwanDepartment of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Evangelos TzolosBHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
Eyal KleinDepartment of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Benjamin ShouBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, 116 N Robertson Boulevard, Los Angeles, CA, 90048, USA.
Balaji TamarappooDepartment of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Sebastien CadetBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, 116 N Robertson Boulevard, Los Angeles, CA, 90048, USA.
Ibrahim DanadDepartment of Cardiology, Amsterdam UMC, VUmc, Amsterdam, The Netherlands.
Roel S DriessenDepartment of Cardiology, Amsterdam UMC, VUmc, Amsterdam, The Netherlands.
Daniel S BermanDepartment of Imaging and Medicine and the Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Piotr J SlomkaDepartment of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Damini Dey *Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, 116 N Robertson Boulevard, Los Angeles, CA, 90048, USA. damini.dey@cshs.org.
Paul Knaapen *Department of Cardiology, Amsterdam UMC, VUmc, Amsterdam, The Netherlands.
Cedars-Sinai Medical Center · USAmsterdam University Medical Centers · NLCedars-Sinai Smidt Heart Institute · USInstitute of Cardiology · PLManchester University NHS Foundation Trust · GBNihon University · JPUniversity of Edinburgh · GB

Funding

Integrated prediction of cardiovascular events by automated coronary plaque and pericoronary adipose tissue quantification from CT AngiographyR01HL148787 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI DEY, DAMINI · 2020 to 2023
$3.0M
Effect of Intensive Medical Treatment on Quantified Coronary Artery Plaque Components with Serial Coronary CTA in Women with Non-Obstructive CADR01HL151266 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI DEY, DAMINI, TAMARAPPOO, BALAJI K. · 2020 to 2023
$1.6M
British Heart Foundation FS/CRTF/20/24086NHLBI NIH HHS R01 HL148787NHLBI NIH HHS R01 HL151266
6 · The paper itself

Abstract

backgroundPositron emission tomography (PET) is the clinical gold standard for quantifying myocardial blood flow (MBF). Pericoronary adipose tissue (PCAT) attenuation may detect vascular inflammation indirectly. We examined the relationship between MBF by PET and plaque burden and PCAT on coronary CT angiography (CCTA).

methodsThis post hoc analysis of the PACIFIC trial included 208 patients with suspected coronary artery disease (CAD) who underwent [

resultsIn 582 vessels, 211 (36.3%) had impaired per-vessel hyperemic MBF (≤ 2.30 mL/min/g). In multivariable analysis, LAP burden was independently and consistently associated with impaired hyperemic MBF (P = 0.016); over NCP burden (P = 0.997). Addition of LAP burden improved predictive performance for impaired hyperemic MBF from a model with CAD severity and calcified plaque burden (P < 0.001). There was no correlation between PCAT attenuation and hyperemic MBF (r = - 0.11), and PCAT attenuation was not associated with impaired hyperemic MBF in univariable or multivariable analysis of all vessels (P > 0.1).

conclusionIn patients with stable CAD, LAP burden was independently associated with impaired hyperemic MBF and a stronger predictor of impaired hyperemic MBF than NCP burden. There was no association between PCAT attenuation and hyperemic MBF.

Indexed as

Coronary Artery DiseasePlaque, AtheroscleroticAdipose TissueComputed Tomography AngiographyCoronary AngiographyCoronary VesselsHumansPositron-Emission TomographyPredictive Value of TestsProspective StudiesTomography, X-Ray ComputedCoronary artery diseasecoronary computed tomography angiographylow-attenuation plaquemyocardial blood flowpericoronary adipose tissuePositron emission tomography

Identifiers

PMID36645580
PMCPMC12918544
OpenAlexW4316369325

What OpenQuestion holds

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Registered trials

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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.