1,720,956 research outputs found
Single-pill fixed-dose drug combinations to reduce blood pressure: the right pill for the right patient
Full text linkArterial hypertension is one of the major causes of cardiovascular morbidity and mortality worldwide. Effective and sustained reduction in blood pressure is essential to reduce individual cardiovascular risk. In daily clinical practice, single-pill fixed-dose combinations of different drug classes are important therapeutic resources that could improve both treatment adherence and cardiovascular risk management by targeting distinct pathophysiological mechanisms. The aim of this practical narrative review is to help physicians choosing the right single-pill fixed-dose combination for the right patient in the daily clinical practice, based on the individual clinical phenotype and cardiovascular risk profile
Cardiovascular Risk Assessment and Control in Outpatients Evaluated by 24-hour Ambulatory Blood Pressure and Different LDL-C Equations
Full text linkIntroduction: Office blood pressure (OBP) and low-density lipoprotein cholesterol (LDL-C) calculated by the Friedewald formula (F) are the cornerstones of the cardiovascular risk (CVR) assessment and management based on the SCORE2/SCORE2-OP model proposed by the 2021 ESC Guidelines on Cardiovascular Disease Prevention. Aim: We compared the CVR stratification estimated by the old SCORE and the SCORE2/SCORE2-OP using OBP and ambulatory blood pressure measurement (ABPM), and we evaluated the prevalence of LDL-C control, after calculating it using three validated equations, in outpatients referred for arterial hypertension. Methods: A cross-sectional study on 1539 consecutive patients with valid ABPM. LDL-C was calculated using the Friedewald formula (F), its modification by Martin (M), and the Sampson (S) equation. SCORE and SCORE2/SCORE2-OP were estimated using OBP, mean daytime (+ 5 mmHg adjustment), and mean 24-hour systolic blood pressure (+ 10 mmHg adjustment). Individual CVR by 2021 ESC Guidelines (and SCORE2/SCORE2-OP) was compared to the 2019 ESC/EAS Guidelines (and SCORE). Differences in the prevalence of LDL-C control according to the three methods to calculate LDL-C were also analysed. Results: Mean age was 60 +/- 12 years, with male prevalence (54%). Mean LDL-C values were 118 +/- 38 mg/dL (F), 119 +/- 37 mg/dL (M), and 120 +/- 38 mg/dL (S), respectively. Within the same population, SCORE and SCORE2/SCORE2-OP significantly varied, but no differences emerged after comparing the average SCORE2/SCORE2-OP calculated with OBP (6% IQR 3-10), mean 24-hour systolic BP (7% IQR 4-11), and mean daytime systolic BP (7% IQR 4-11). SCORE2/SCORE2-OP and 2021 ESC Guidelines reclassified the CVR independently of the method used for BP measurement. The low-moderate risk group decreased by 32%, whereas the high and veryhighrisk groups increased by 18% and 12%, respectively. We found a significant reduction in reaching the LDL-C goals regardless of the equation used to calculate it, except for those > 65 years, in whom results were confirmed only by using the M. Conclusion: SCORE2/SCORE2-OP and 2021 ESC Guidelines recommendations led to a non-negligible CVR reclassification and subsequent lack of LDL-C goal, regardless of estimating SCORE2 using OBP or ABPM. Calculating the LDL-C with the M may be the best choice in specific settings
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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