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The continuum of personalized cardiovascular medicine: a position paper of the European Society of Cardiology

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 22 Aug 2014 Italy, Germany, Germany, United Kingdom Publisher:Oxford University Press (OUP)Journal:European Heart Journal, volume 35, pages 3,250-3,257 (issn: 0195-668X, eissn: 1522-9645,

Authors: Kirchhof, Paulus; Sipido, Karin R.; Cowie, Martin R.; Eschenhagen, Thomas; Fox, Keith A.A.; Katus, Hugo; Schroeder, Stefan; +28 Authors

doi: 10.1093/eurheartj/ehu312

pmid: 25148837

pmc: PMC4258224

handle: 10044/1/15648 , 11571/961835

The continuum of personalized cardiovascular medicine: a position paper of the European Society of Cardiology

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Abstract

There is strong need to develop the current stratified practice of CVD management into a better personalized cardiovascular medicine, within a broad framework of global patient care. Clinical information obtained from history and physical examination, functional and imaging studies, biochemical biomarkers, genetic/epigenetic data, and pathophysiological insights into disease-driving processes need to be integrated into a new taxonomy of CVDs to allow personalized disease management. This has the potential for major health benefits for the population suffering from cardiovascular diseases.

Countries

Italy, Germany, Germany, United Kingdom

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Keywords

Diagnostic Imaging, Clinical Trials as Topic, Evidence-Based Medicine, 610, 600, new therapy concepts, Genomics, Personalized medicine, Risk Assessment, Current Opinion, Cardiovascular Diseases, Patient-Centered Care, Humans, Diffusion of Innovation, Precision Medicine, Biomarkers, Needs Assessment

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	85
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 1%