1,721,132 research outputs found
Endogenous sex hormones are associated with blood pressure change and hypertension incidence in postmenopausal women
No full textTakotsubo Cardiomyopathy: Overview
No full textTakotsubo Cardiomyopathy: Overview Eduardo Bossone, Gianluigi Savarese, Francesco Ferrara, Rodolfo Citro, Susanna Mosca, Francesca Musella, Giuseppe Limongelli, Roberto Manfredini, Antonio Cittadini, and Pasquale Perrone Filardi Takotsubo cardiomyopathy (TTC) is a unique acute syndrome characterized by transient left ventricular systolic dysfunction in the absence of significant coronary artery disease, occurring mostly in postmenopausal women after emotional and/or physical stress. Given the nonspecific symptoms and signs, a high clinical index of suspicion is necessary to detect the disease in different clinical settings and scenarios. Noninvasive multimodality imaging may be useful to distinguish this cardiomyopathy from other acute cardiac and thoracic diseases. Coronary angiography remains, however, mandatory to differentiate TTC from acute coronary syndromes. This article reviews the clinical features and management of TTC and some new insights
Regressione dell’ipertrofia ventricolare sinistra ed eventi cardiovascolari. Una metanalisi
No full textEffects of atorvastatin and rosuvastatin on renal function: A meta-analysis
No full textBackground: Atorvastatin (A) and rosuvastatin (R) are highly effective and widely used statins. However, conflicting results have been reported regarding their renal effects. The aim of the present study was to compare the effects of A and R on glomerular filtration rate (GFR) and new onset proteinuria in patients at high cardiovascular risk. Methods: Randomized trials about A or R treatments reporting clinical end-points were included in the meta-analysis. Influence of both treatments on GFR and new onset proteinuria was assessed. Results: 23 trials enrolling 29,147 participants were included. A significant reduction in GFR was detected in placebo-treated compared to statin-treated patients (standard mean difference [SMD]: 0.056, 95% confidence interval [CI]: 0.028 to 0.083, p<0.01). In particular, a significant reduction in GFR was detected in placebo as compared to either R-treated (SMD: 0.052, CI: 0.022 to 0.081, p=0.001) or A-treated patients (SMD: 0.084, CI: 0.008 to 0.161, p=0.031). No significant difference in GFR was detected in 5 head-to-head studies comparing A to R (SMD: 0.043, CI: -0.041 to 0.126, p=0.319). In 9 studies comparing A to R, R treatment significantly increased the risk of proteinuria when compared to A (odds ratio [OR]: 0.656, CI: 0.440 to 0.977, p=0.038, heterogeneity p=0.026), but this effect was no longer significant when studies using highest therapeutic doses of R (40 mg/daily) were excluded from analysis, abolishing significant heterogeneity (OR: 1.505, CI: 0.827 to 2.739, p=0.181). Conclusions: A and R show similar reno-protective effects in patients at high cardiovascular risk, with comparable rates of new onset proteinuria when commonly used doses are considered. (C) 2012 Elsevier Ireland Ltd. All rights reserved
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
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
- …
