1,721,104 research outputs found
Letter by Barison et al Regarding Article, "Familial Clustering of Mitral Valve Prolapse in the Community"
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Update sui biomarcatori nello scompenso cardiaco.
No full textHeart failure (HF) represents the final common pathway of cardiovascular diseases. Prognosis of HF remains dismal despite a better understanding of its pathophysiology and advances in diagnostics and therapeutics. HF is a complex syndrome, with an extensive influence on vital organ perfusion and function resulting from hemodynamic alterations and with marked arrhythmogenicity, following the development of structural abnormalities and adrenergic activation. Therefore, current clinical and instrumental approach to the HF syndrome should be complemented by novel decision-making strategies, with potential in early diagnosis as well as in prognostication and therapeutic definition. In this view, there is growing experimental and clinical interest in the use of biomarkers, namely B-type natriuretic peptides, whose role in diagnosis, risk stratification and patients' follow-up is well recognized. A new targeted approach is envisaged in the next future for the management of the heterogeneous clinical phenotype of HF, likely based on biomarker tracking specific pathophysiologic pathways of disease progression
Increased extracellular volume fraction in nonischaemic dilated cardiomyopathy predicts worse outcomes independently of medical therapy
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Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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