1,721,092 research outputs found
Common genetic risk factors for coronary artery disease: new opportunities for prevention?
No full textAtherosclerotic cardiovascular disease (CVD) is a leading cause of mortality and morbidity worldwide, with coronary artery disease (CAD) being the single leading cause of death. Better control of risk factors, enhanced diagnostic techniques and improved medical therapies have all substantially decreased the mortality of CAD in developed countries. However, CAD and other forms of atherosclerotic CVD are projected to remain the leading cause of death by 2030 and we face a number of challenges if the outcomes of CAD are to be further improved. The fact that a substantial fraction of high-risk subjects do not reach treatment goals for important risk factors is one of these challenges. At the same time, there is also a non-negotiable fraction of 'concealed' high-risk subjects who are not detected by current risk algorithms and diagnostic modalities. In recent years, we have started to rapidly increase our knowledge of the framework of common genetics underlying CAD and atherosclerotic CVD in the population. In conjunction with modern diagnostic and therapeutic options, this new genetic knowledge may provide a valuable tool for further improvements in prevention. This review summarizes the recent findings from the search for common genetic risk factors for CAD. Furthermore, the author discusses how such recent findings could potentially be used in a number of clinical applications within CAD prevention, including in clinical risk stratification, in prediction of drug treatment response and in the search for targets for novel preventive therapies
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Common genetic risk factors for coronary artery disease: new opportunities for prevention?
No full textAtherosclerotic cardiovascular disease (CVD) is a leading cause of mortality and morbidity worldwide, with coronary artery disease (CAD) being the single leading cause of death. Better control of risk factors, enhanced diagnostic techniques and improved medical therapies have all substantially decreased the mortality of CAD in developed countries. However, CAD and other forms of atherosclerotic CVD are projected to remain the leading cause of death by 2030 and we face a number of challenges if the outcomes of CAD are to be further improved. The fact that a substantial fraction of high-risk subjects do not reach treatment goals for important risk factors is one of these challenges. At the same time, there is also a non-negotiable fraction of 'concealed' high-risk subjects who are not detected by current risk algorithms and diagnostic modalities. In recent years, we have started to rapidly increase our knowledge of the framework of common genetics underlying CAD and atherosclerotic CVD in the population. In conjunction with modern diagnostic and therapeutic options, this new genetic knowledge may provide a valuable tool for further improvements in prevention. This review summarizes the recent findings from the search for common genetic risk factors for CAD. Furthermore, the author discusses how such recent findings could potentially be used in a number of clinical applications within CAD prevention, including in clinical risk stratification, in prediction of drug treatment response and in the search for targets for novel preventive therapies
Cardiovascular Risk Genes in Prevention and Treatment Response
Get PDFGENERAL AIM: To investigate how common single-nucleotide-polymorphisms (SNPs) that associate with cardiovascular disease (CVD) could be used in prevention and treatment of CVD. SUBJECTS: Subjects from the population-based Malmö-Diet-and-Cancer-(MDC)-Study (n=30447) and hypertensives from the Nordic-Diltiazem-(NORDIL)-Study (n=10881). METHODS AND RESULTS: A nine-SNP-lipid-genetic-risk-score was related to fluvastatin treatment-response in 395 MDC subjects with asymptomatic carotid atherosclerosis. In women, a higher score (conferring unfavorable baseline-lipid-levels) correlated with HDL-increase (P=0.001), explaining 11.6-12.9% of the variance in HDL-change. A 13-SNP-myocardial-infarction-(MI)-genetic-risk-score was related to carotid atherosclerosis-markers in 4022 MDC-subjects. The MI-gene-score associated with carotid-bulb-intima-media-thickness (IMT) (beta=0.038 standard deviations of IMT per MI-gene-score-quintile; P-trend=0.005) and plaque (odds-ratio per MI-gene-score-quintile=1.11; 95% confidence interval (CI):1.04-1.18; P=0.001) in multivariable models. It was tested if eight blood-pressure-associated SNPs affected antihypertensive treatment-response in 3863 Swedish hypertensives from NORDIL. No robust associations were identified. Finally, interactions between life-style-factors and the CVD-SNP rs4977574 on chromosome 9p21 were evaluated in 24944 MDC-subjects during 15 years follow-up. There were interactions between rs4977574 and smoking on incident CAD (P=0.035) and CVD-mortality (P=0.012). The risk conferred by rs4977574 in never-smokers (n=9642; Hazard-ratio(HR) per risk-allele(CAD)=1.26; 95%CI:1.13-1.40; HR per risk-allele(CVD-mortality)=1.40; 95%CI:1.20-1.63) was attenuated in smokers (n=7000; HR per risk-allele(CAD)=1.05; 95%CI:0.95-1.16; HR per risk-allele(CVD-mortality)=1.08; 95%CI:0.94-1.23). CONCLUSIONS: CVD-genetics identifies subjects with markers of subclinical atherosclerosis, suggesting that early atherosclerosis-prevention may be targeted to such individuals. Smoking attenuates the relative influence of the thus far strongest identified polygenic CVD-risk-locus, implying potential utility of common CVD-genetics in mainly conventional lower-risk subjects. Lipid-polymorphisms may predict statin-induced HDL-increase in women, but eight blood-pressure-SNPs did not affect antihypertensive treatment-response
Variations on the Author
Get PDF“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
Get PDFWe 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
Get PDFWe 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
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