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Find video protocols related to scientific articles indexed in Pubmed.
Obesity as a disease state: a new paradigm for diagnosis and treatment.
Clin Cornerstone
PUBLISHED: 10-01-2009
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While global prevalence of obesity continues to increase dramatically, treatment options remain less than optimal. The etiology of obesity is multifactorial, ranging from lifestyle choices such as excess food intake and insufficient physical activity, to use of medications that have weight gain as an undesirable side effect. Economic and political determinants of available foodstuffs and even social networks may also contribute to obesity. Successful management of obesity requires the understanding and acceptance of a new paradigm that identifies obesity as a disease--one defined by waist circumference--that requires treatment. Obesity meets all accepted criteria of a medical disease, including a known etiology, recognized signs and symptoms, and a range of structural and functional changes that culminate in pathologic consequences. Excess adipose tissue acts as an endocrine organ to produce excess free fatty acids, as well as tumor necrosis factor-alpha, interleukin-6, leptin, and plasminogen activator inhibitor-1. These bioactive molecules are associated with hyperinsulinemia, hyperglycemia, insulin resistance, development of diabetes, endothelial damage, and the onset and progression of atherosclerotic lesions. Options for treating obesity include lifestyle modifications (dietary changes, increased physical activity, behavior modification) and, for the morbidly obese, surgery. Lifestyle modification is rarely successful over the long term; therefore, addition of pharmacotherapy should be considered for obese individuals who have difficulty achieving and maintaining weight goals with lifestyle modifications alone. Several weight loss drugs are available for long-term use, with others in various stages of clinical development.
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What is Visualize?

JoVE Visualize is a tool created to match the last 5 years of PubMed publications to methods in JoVE's video library.

How does it work?

We use abstracts found on PubMed and match them to JoVE videos to create a list of 10 to 30 related methods videos.

Video X seems to be unrelated to Abstract Y...

In developing our video relationships, we compare around 5 million PubMed articles to our library of over 4,500 methods videos. In some cases the language used in the PubMed abstracts makes matching that content to a JoVE video difficult. In other cases, there happens not to be any content in our video library that is relevant to the topic of a given abstract. In these cases, our algorithms are trying their best to display videos with relevant content, which can sometimes result in matched videos with only a slight relation.