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Full-Text Articles in Medicine and Health Sciences
Obesity And Mortality: Are The Risks Declining? Evidence From Multiple Prospective Studies In The United States., Tapan S. Mehta, Kevin R. Fontaine, Scott W. Keith, Sripal S. Bangalore, Gustavo De Los Campos, Alfred Bartolucci, Nicholas M. Pajewski, David B. Allison
Obesity And Mortality: Are The Risks Declining? Evidence From Multiple Prospective Studies In The United States., Tapan S. Mehta, Kevin R. Fontaine, Scott W. Keith, Sripal S. Bangalore, Gustavo De Los Campos, Alfred Bartolucci, Nicholas M. Pajewski, David B. Allison
Department of Pharmacology and Experimental Therapeutics Faculty Papers
We evaluated whether the obesity-associated years of life lost (YLL) have decreased over calendar time. We implemented a meta-analysis including only studies with two or more serial body mass index (BMI) assessments at different calendar years. For each BMI category (normal weight: BMI 18.5 to <25 >[reference]; overweight: BMI 25 to60, YLL for grade 1 obesity decreased by 1.02 years (P < 0.001) and increased by 0.63 years for grade 2-3 obesity (P = 0.63). Among women aged ≤60, YLL for grade 1 obesity decreased by 4.21 years (P < 0.001) and by 4.97 years (P < 0.001) for grade 2-3 obesity. In women aged >60, YLL for grade 1 obesity decreased by 3.98 years (P < 0.001) and by 2.64 years (P = 0.001) for grade 2-3 obesity. Grade 1 obesity's association with decreased longevity has reduced for older Caucasian men. For Caucasian women, there is evidence of a decline in the obesity YLL association across all ages.
Managing The Innovation Supply Chain To Maximize Personalized Medicine., Scott A. Waldman, Andre Terzic
Managing The Innovation Supply Chain To Maximize Personalized Medicine., Scott A. Waldman, Andre Terzic
Department of Pharmacology and Experimental Therapeutics Faculty Papers
Personalized medicine epitomizes an evolving model of care tailored to the individual patient. This emerging paradigm harnesses radical technological advances to define each patient's molecular characteristics and decipher his or her unique pathophysiological processes. Translated into individualized algorithms, personalized medicine aims to predict, prevent, and cure disease without producing therapeutic adverse events. Although the transformative power of personalized medicine is generally recognized by physicians, patients, and payers, the complexity of translating discoveries into new modalities that transform health care is less appreciated. We often consider the flow of innovation and technology along a continuum of discovery, development, regulation, and application …