1,720,963 research outputs found

    Serum lipopotein (a) levels in a large sample of subjects affected by familial combined hyperlipoproteinaemia and in general population

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    Background Serum lipoprotein (a) [Lp(a)] is a lipidic parameter, strictly under genetic control. Lp(a) levels vary in different dyslipidaemias according to the underlying disease. Design The aim of this study was to evaluate and compare serum Lp(a) mean levels distribution in a large familial combined hyperlipoproteinaemia (FCH) patients sample with a normolipidaemic group. Methods FCH group included 138 subjects (74 males and 65 females) aged from 16 to 88 years; the control group included 438 normolipidaemic subjects (238 males and 200 females) aged from 16 to 91 years. In both groups we have measured Lp(a) concentrations and other lipidic parameters. Results Serum lipid levels as well as Lp(a) log-transformed concentrations were on average higher in FCH patients than in control subjects. Lp(a) concentrations were not significantly different between sexes and among 20-year age classes in both groups. Conclusions The relationship between FCH and Lp(a) remains controversial. However, since both are considered independent risk factors for premature CHD development, even if their pathogenic interaction is still unclear, we suggest that Lp(a) values should be carefully monitored in dyslipidaemic subjects and particularly in FCH ones. In FCH subjects with elevated Lp(a) levels, aggressive intervention could be required. © 2003, European Society of Cardiology. All rights reserved

    Prevalence of Hypo- and Hyperalphalipoproteinemia according to different diagnostic criteria in the massa lombarda project cohort

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    Objective: Several studies use different cut off point to define the pathological HDL-C levels. We applied the most cited diagnostic criteria to the Massa Lombaxda Project cohort in order to estimate the prevalence of Hypo (HypoALP)- and Hyperalphalipoproteinemia (HyperALP). Methods: We stratified our sample (1199 adult subjects M:516, F:683) from The Massa Lombaxda Project cohort according to the main diagnostic criteria: the first one was based on the cut-off < 10th percentile for hypoALP and >90th percentile for hyperALP; the second one was based on NCEP (National Cholesterol Education Program) ATPIII (Adult Treatment Panel III) cut-off <40 mg/dl for low HDL-C levels and _>60 mg/dl for high HDL-C levels; the third one from Omagari Study was based on the cut off _>80 < 100 mg/dl for HyperALP and _> 100 mg/dl for marked HyperALP. Results: According to the first cut-off point the prevalence values of Hypo- Normo- and HyperALP were respectively F:5.1% M:3.5%, F:46.1% M:35.2%, F:5.6% M:4.2%; according to the second cut off point the values were F:6.0% M:12.8%, F:27.3% M:23.7%, F:23.5% M:6.4%; according to the third cut off point the prevalence values of Hyper- and marked HyperALP were F:3.5% M:0.5%, F:0.1% M:0.0%. Conclusion: Our research showed that the prevalence of Hypo- Normoand HyperALP in this sample changes according to the cut off point that we used; further according to ATP III diagnostic criteria there were more men (9.3%) with a significant cardiovascular risk factor: low HDL-C levels. It could be suitable to standardize the diagnostic methods

    Assessment of the health status in the Massa Lombarda cohort: a preliminary description of the program evaluating cardio-cerebro-vascular disease risk factors and quality of life in an elderly population.

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    The Massa Lombarda program (MLP) is the first step of a European multi-center program, promoted and coordinated from Bologna University's Academic Spin off Health Research and Development, which attempts to manage advanced sanitary research in general population. The instant individual definition (IID) study is the first phase of the program concerning the study of risk factors (RF) and early diagnosis of coronary heart disease (CHD), through a new diagnostic technology called myocardial perfusion scoring system (MPS). The study consists of a longitudinal observational epidemiological investigation of adult population (above 25 years of age) resident in Massa Lombarda (Ravenna), with the survey of social and biological parameters. The elderly part of the population (1000 subjects above 75 years) was submitted to a more complex analysis, as part of the study on health status in European aging populations, aimed at revealing the determinants influencing the healthy aging, and at identifying their impact on mortality,cardiovascular and respiratory morbidity, disability and decline of quality of life. Laboratory analyses were aimed at identifying the following factors: (i) Genetic markers related to pro and anti-inflammatory cytokine- codifying genes. (ii) Oxidative stress-involved molecules, and inflammation-involved genes, and more in general genes involved in the brittleness(iii) (ApoE). Appraising the degree of interaction with non-genetic factors, like measurable immunological markers in the peripheral blood, markers of reactions to oxidative stress,evaluation of metabolic parameters. Moreover, old population is expected to answer the questionnaires for evaluation of the dietary habits, physical activity, self-sufficiency,cognitive ability, motor coordination, perceived stress and social relationships

    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
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