1,721,045 research outputs found

    Updates on NSAIDs in patients with and without coronary artery disease: Pitfalls, interactions and cardiovascular outcomes

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    NSAIDs are used worldwide by more than 30 million people everyday, given their anti-inflammatory, analgesic and antipyretic effects. NSAIDs are approved for several common adult diseases, including acute and chronic musculoskeletal or inflammatory disease, osteoarthritis, rheumatoid arthritis and other arthritic conditions, as well as for children with juvenile idiopathic arthritis. Importantly, the population commonly taking NSAIDs is that of older individuals who also represent the population with the highest risk for cardiovascular (CV) and gastrointestinal adverse effects. In recent years, a growing body of evidence regarding potential risks from chronic use of NSAIDs has emerged. The aim of this review is to update the available data concerning chronic use of NSAIDs in patients with and without CV disease by analyzing the mechanisms of action, the interference of specific NSAIDs with the established CV protective role of low-dose aspirin, and the potential increased risk of myocardial infarction, stroke, hypertension, heart failure and atrial fibrillation

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The 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

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    “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

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    We 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
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