Article in Arteriosclerosis, thrombosis, and vascular biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.2field-weighted citation impact, top 8% 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
6 citing papers in PubMed, 14 citations in OpenAlex.
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
14 authors at 8 institutions in 5 countries.
Jacek Kwiecinski *Departments of Medicine (Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA (J.K., E.T., D.S.B., D.D., P.J.S.).ORCID 0000-0001-8202-6359
Márton Kolossváry *Gottsegen National Cardiovascular Center, Budapest, Hungary (M.K.).ORCID 0000-0002-5570-991X
Evangelos TzolosDepartments of Medicine (Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA (J.K., E.T., D.S.B., D.D., P.J.S.).ORCID 0000-0003-0038-043X
Mohammed N MeahBHF Centre for Cardiovascular Science (E.T., M.N.M., M.C.W., E.J.R.v.B., D.E.N., M.R.B.), University of Edinburgh, United Kingdom.ORCID 0000-0002-0806-9972
Philip D AdamsonChristchurch Heart Institute, University of Otago, Christchurch, New Zealand (P.D.A.).ORCID 0000-0002-6177-956X
Nikhil V JoshiBristol Heart Institute, University of Bristol, United Kingdom (N.V.J.).
Michelle C WilliamsBHF Centre for Cardiovascular Science (E.T., M.N.M., M.C.W., E.J.R.v.B., D.E.N., M.R.B.), University of Edinburgh, United Kingdom.ORCID 0000-0003-3556-2428
Edwin J R van BeekBHF Centre for Cardiovascular Science (E.T., M.N.M., M.C.W., E.J.R.v.B., D.E.N., M.R.B.), University of Edinburgh, United Kingdom.ORCID 0000-0002-2777-5071
Daniel S BermanDepartments of Medicine (Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA (J.K., E.T., D.S.B., D.D., P.J.S.).
Pál Maurovich-HorvatMTA-SE Cardiovascular Imaging Research Group, Department of Radiology, Medical Imaging Centre, Semmelweis University, Budapest, Hungary (P.M.-H.).
David E NewbyBHF Centre for Cardiovascular Science (E.T., M.N.M., M.C.W., E.J.R.v.B., D.E.N., M.R.B.), University of Edinburgh, United Kingdom.ORCID 0000-0001-7971-4628
Marc R DweckBHF Centre for Cardiovascular Science (E.T., M.N.M., M.C.W., E.J.R.v.B., D.E.N., M.R.B.), University of Edinburgh, United Kingdom.ORCID 0000-0001-9847-5917
Damini DeyDepartments of Medicine (Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA (J.K., E.T., D.S.B., D.D., P.J.S.).ORCID 0000-0003-2236-6970
Piotr J SlomkaDepartments of Medicine (Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA (J.K., E.T., D.S.B., D.D., P.J.S.).ORCID 0000-0002-6110-938X
Cedars-Sinai Medical Center · USUniversity of Edinburgh · GBMRC Centre for Regenerative Medicine · GBNew Zealand Brain Research Institute · NZNIHR Bristol Cardiovascular Biomedical Research Unit · GBObuda University · HUSemmelweis University · HUThe Queen's Medical Research Institute · GB
Funding
Patient-specific Outcome Prediction from Cardiovascular Multimodality Imaging by Artificial IntelligenceR35HL161195 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI Piotr J Slomka · 2022 to 2026
$5.0M
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
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
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 CH/09/002British Heart Foundation CH/09/002/26360British Heart Foundation FS/11/014British Heart Foundation FS/14/78/31020British Heart Foundation FS/19/46/34445British Heart Foundation FS/ICRF/20/26002British Heart Foundation RE/18/5/34216British Heart Foundation RG/16/10/32375Medical Research Council MR/T005459/1NHLBI NIH HHS R01 HL133616NHLBI NIH HHS R01 HL148787NHLBI NIH HHS R35 HL161195Wellcome TrustWellcome Trust WT103782AIA
6 · The paper itself
Abstract
backgroundAssessments of coronary disease activity with
methodsPatients with known coronary artery disease underwent coronary
resultsAmong 260 patients with established coronary artery disease (age, 65±9 years; 83% men), 179 (69%) participants showed increased coronary
conclusionsIn patients with established coronary artery disease, latent coronary plaque morphological features, quantitative plaque volumes, and disease activity on
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.
Latent Coronary Plaque Morphology From Computed Tomography Angiography, Molecular Disease Activity on Positron Emission Tomography, and Clinical Outcomes. · full record | OpenQuestion