Objective: To create a decision analytic model to estimate the balance between treatment risks and benefits for severely obese patients with diabetes.
Background: Bariatric surgery leads to many desirable metabolic changes, but long-term impact of bariatric surgery on life expectancy in patients with diabetes has not yet been quantified.
Methods: We developed a Markov state transition model with multiple Cox proportional hazards models and logistic regression models as inputs to compare bariatric surgery versus no surgical treatment for severely obese diabetic patients.
Results offer insight into the benefits of bariatric surgery in a patient population with both diabetes and severe obesity. The data were somewhat unexpected, according to one study researcher.
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