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Although the primary goal of any innovative treatment for prostate cancer is to maximize life expectancy, both patients and clinicians are currently devoting more attention to the impact of current therapies on QoL outcomes [ 3].
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In these two instances, the Status Quo maximized life expectancy per cohort.
Therefore, in this model, which maximizes life expectancy per cohort, the remaining fraction of a previous cohort would not be selected to receive ART if competing with newly detected individuals who could achieve higher life expectancy.
Assessment of antiretroviral discontinuation policies can highlight the trade-offs associated with policy goals of maximizing life expectancy of treated individuals only, life expectancy of the entire population, and the number of individuals receiving treatment.
With more modest capacity increases over time, discontinuing treatment not only maximizes life expectancy per cohort, but also allows more individuals to receive treatment, improving both efficiency and equity.
With greater capacity increases over time, however, the Status Quo (i.e., not discontinuing treatment) maximizes life expectancy per cohort, yet does not allow more individuals to receive treatment.
Hence, there is a need to maximize the life expectancy of primary joint implants through understanding cell material interactions.
A problem with the approach is that whilst it might help maximize overall life expectancy from available transplants it discriminates against the old [ 32].
We estimated technical efficiency of a health care system by its ability to maximize the life expectancy of its population using a minimum amount of health care and non-health care inputs.
In 2013, discussion shifted to a goal of maximizing healthy life expectancy, which would subsume universal health coverage as a subsidiary target and also include a focus on underlying determinants of health [ 14, 35].
Total thyroidectomy maximized quality-adjusted life expectancy in low- and high-risk patients with PTC.
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