1,721,141 research outputs found
The right fibre for the right disease: an update on the psyllium seed husk and the matabolic sindrome.
No full textFish oil and treatment of cancer cachexia
No full textCancer cachexia is a syndrome characterized by high prevalence and multifactorial etiology. The pathophysiology of cancer-induced weight loss is mainly due to failure of food intake and to various metabolic abnormalities, including hypermetabolism. Multiple biologic pathways are involved in this process, including pro-inflammatory cytokines, neuroendocrine hormones and tumour specific factors such as proteolysis inducing factor (PIF). As a result, a protein and energy depletion is observed that is greater than what would be expected based on the simple decrease of food intake and is associated with marked reduction of lean body mass (LBM). Therapy requires a multi-model approach with control of reduced food intake and of the metabolic abnormalities. Combination treatment with nutritional support and modulation of metabolic/inflammation changes is promising. In this regard, n-3 fatty acids in dose of at least 1.5 g/day for a prolonged time to advanced cancer patients with weight loss, are associated with an improvement of clinical, biological and functional parameters and with amelioration of quality of life
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
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