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The association between weight, and cardiovascular disease and mortality is well established, however, the causal effect of weight-loss in midlife on these outcomes is less clear. Bariatric surgery results in substantial weight-loss and is an ideal candidate to study the causal effects of weight-loss. The investigators propose a project that will use causal inference and machine learning methods to answer two important questions: 1. Is bariatric surgery effective for reducing cardiovascular disease and mortality, and if so, for who? 2. Which type of bariatric surgery (gastric bypass or sleeve gastrectomy) is most effective, and for who? The investigators will use data from various Swedish registers to identify individuals with obesity who are eligible for bariatric surgery. We will then compare cardiovascular and mortality outcomes among those undergoing different types of bariatric sur
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