1,721,010 research outputs found

    Cerebrovascular disease is associated with an increased disease severity in patients with Coronavirus Disease 2019 (COVID-19): A pooled analysis of published literature

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    Introduction: There is an urgent need to identify patients at high risk during the ongoing coronavirus disease (COVID-19) pandemic. Whether a history of stroke is associated with increased severity of disease or mortality is unknown. Method: We pooled studies from published literature to assess the association of a history of stroke with outcomes in patients with COVID-19. Results: A pooled analysis of 4 studies showed a ∼2.5-fold increase in odds of severe COVID-19. While a trend was observed, there was no statistically significant association of stroke with mortality in patients with COVID-19 infection. Discussion: Our findings are limited by a small number of studies and sample size. Conclusion: There is a ∼2.5-fold increase in odds of severe COVID-19 illness with a history of cerebrovascular disease

    Clinical features, laboratory characteristics, and outcomes of patients hospitalized with coronavirus disease 2019 (COVID-19): Early report from the United States

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    Background Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome-coronavirus-2 (SARS-CoV2), is an ongoing pandemic that has already affected millions of patients worldwide, and is associated with significant morbidity and mortality burden. Although the clinical and laboratory characteristics of this illness have been reported in patients from China and Europe, data are scant in the United States. Methods We extracted data regarding all patients hospitalized at our hospital with COVID-19 infection between March 1 and April 4, 2020. Presenting signs and symptoms, laboratory and imaging findings, treatment, and complications were recorded from electronic medical records (EMRs). The primary composite endpoint was admission to intensive care unit (ICU), shock, or death. Results We had a total of 43 patients tested for COVID-19 at the emergency room (ER) or during hospitalization, 16 (37%) of whom were admitted with COVID-19 infection. The mean age was 65.5 years and 75% were males. The most common presenting symptoms were fever (94%), cough (88%), and dyspnea (81%). A loss of smell and taste sensations were reported by three (19%) patients. Low oxygen saturation was present in 38% of patients, whilst 31% were hypotensive on admission. Hyponatremia (50%), elevated C-reactive protein (CRP; 100%), and lactate dehydrogenase (LDH; 80%) were common. Acute renal failure, myocardial injury, and elevation in aminotransferases occurred in 69%, 19%, and 38% patients, respectively. The primary composite endpoint occurred in 50% of patients. A total of three patients died; all were aged 70 years or older. Conclusions Laboratory abnormalities and acute renal failure were common in hospitalized patients with SARS-CoV2 infection in our center. Admission to ICU and mechanical ventilation were common

    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

    Dispelling the Myths Behind First-author Citation Counts

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    We 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

    Author Index

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