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    Depression and renal disease

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    Major depressive disorder (MDD) is a highly prevalent disease, frequently characterized by recurrent or chronic course, and by comorbidity with other medical illnesses. The lifetime prevalence of MDD ranges up to 17% in the general population, and it almost doubles in patients with diabetes (9-27%), stroke (22-50%), or cancer (18-39%). Moreover, MDD worsens the prognosis, quality of life, and treatment compliance of patients with comorbid medical illnesses. Similar to what is observed with other comorbid illnesses, MDD worsens the outcome of kidney disease patients by increasing both morbidity and mortality. Treatment of depressive symptoms in renal failure patients increases medication acceptability and therefore potentially improves the overall patient outcome. The issue of the safety of antidepressant treatment in subjects with renal failure is frequently counterbalanced by the risks associated with depression comorbidity, provided that antidepressants with a low volume of distribution and low protein binding are prescribed, and most important, at low initial doses. Screening for CYP isoenzyme interactions with current medications is also recommended before starting antidepressant treatment

    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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