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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Thrombosis Researcharrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Thrombosis Research
Article . 2012 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Circulating Biomarkers

Authors: L, Badimon; J C, Romero; J, Cubedo; M, Borrell-Pagès;

Circulating Biomarkers

Abstract

Cardiovascular diseases (CVD) remain a leading cause of death worldwide. In the past years new biomarkers have drawn the clinician's attention for their use in primary prevention and in the identification of individuals at cardiovascular risk. Biomarkers also provide information on the progression and possible recurrence of cardiovascular events, and include inflammatory markers (C-reactive protein and interleukin-18), endothelial dysfunction markers (intercellular adhesion molecule-1 and vascular cell adhesion molecule-1), neurohormonal markers (brain natriuretic peptide and copeptine), ischemia biomarkers (apolipoprotein J) and necrosis markers (troponins). Although biomarkers provide utility for predicting cardiovascular risk, the identification and characterization of new biomarkers to achieve increasing diagnosis and prognostic efficiency in CVD prevention is of high clinical interest. In this review we will discuss on recently discovered biomarkers and their clinical applications.

Keywords

Neurotransmitter Agents, Myocardium, Prognosis, Risk Assessment, Necrosis, Cardiovascular Diseases, Predictive Value of Tests, Risk Factors, Animals, Humans, Endothelium, Vascular, Inflammation Mediators, Biomarkers

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    selected citations
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    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).
    37
    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 10%
Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
37
Top 10%
Top 10%
Top 10%
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