Search Results - "Bauvin, Pierre"
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Early prediction of the impact of public health policies on obesity and lifetime risk of type 2 diabetes: A modelling approach
Published in PloS one (28-03-2024)“…Help public health decision-making requires a better understanding of the dynamics of obesity and type 2 diabetes and an assessement of different strategies to…”
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Machine Learning Based Algorithm for the Early Prediction of Postoperative Hypocalcemia Risk After Thyroidectomy
Published in Annals of surgery (01-11-2024)“…We used machine learning to develop and validate a multivariable algorithm allowing the accurate and early prediction of postoperative hypocalcemia risk…”
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1694-P: Subphenotype-Dependent Benefits of Bariatric Surgery in Data-Driven Clusters of Individuals at Risk for Type 2 Diabetes
Published in Diabetes (New York, N.Y.) (01-06-2024)“…A novel classification of patients at risk for type 2 diabetes (T2D) has identified 6 clusters (Tübingen Clusters) of which 3 are associated with obesity…”
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A model to predict drinking population at-risk of liver disease in France: a tool for decision-making public health policies
Published in Journal of hepatology (01-07-2022)Get full text
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A modelling approach to estimate alcohol-related liver morbidity and mortality in France
Published in Journal of hepatology (01-07-2022)Get full text
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Data-driven subgroups of type 2 diabetes, metabolic response, and renal risk profile after bariatric surgery: a retrospective cohort study
Published in The lancet. Diabetes & endocrinology (01-03-2022)“…A novel data-driven classification of type 2 diabetes has been proposed to personalise anti-diabetic treatment according to phenotype. One subgroup, severe…”
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Genetic Evidence of Causal Relation Between Intestinal Glucose Absorption and Early Postprandial Glucose Response: A Mendelian Randomization Study
Published in Diabetes (New York, N.Y.) (01-06-2024)“…The postprandial glucose response is an independent risk factor for type 2 diabetes. Observationally, early glucose response after an oral glucose challenge…”
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Combining diabetes, sex, and menopause as meaningful clinical features associated with NASH and liver fibrosis in individuals with class II and III obesity: A retrospective cohort study
Published in Obesity (Silver Spring, Md.) (01-12-2023)“…Objective Steatotic liver disease (SLD) is frequent in individuals with obesity. In this study, type 2 diabetes (T2D), sex, and menopausal status were combined…”
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Impact of Robotic Assistance on Complications in Bariatric Surgery at Expert Laparoscopic Surgery Centers. A Retrospective Comparative Study With Propensity Score
Published in Annals of surgery (01-10-2023)“…To investigate the way robotic assistance affected rate of complications in bariatric surgery at expert robotic and laparoscopic surgery facilities. While the…”
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A Model to Identify Heavy Drinkers at High Risk for Liver Disease Progression
Published in Clinical gastroenterology and hepatology (01-09-2020)“…Alcohol-related liver disease (ALD) causes chronic liver disease. We investigated how information on patients’ drinking history and amount, stage of liver…”
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Easy-to-use AI Calculator Predicting 5 y-Weight Trajectories After Bariatric Surgery: A Sophia Study
Published in Obesity (Silver Spring, Md.) (01-11-2022)“…Background: Weight loss trajectories (WLT) after bariatric-metabolic surgery are highly heterogenous. We used artificial intelligence to develop, and validate…”
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A tool to predict progression of non‐alcoholic fatty liver disease in severely obese patients
Published in Liver international (29-12-2020)“…Abstract Background & Aims Severely obese patients are a growing population at risk of non‐alcoholic fatty liver disease (NAFLD). Considering the increasing…”
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A tool to predict progression of non‐alcoholic fatty liver disease in severely obese patients
Published in Liver international (01-01-2021)“…Background & Aims Severely obese patients are a growing population at risk of non‐alcoholic fatty liver disease (NAFLD). Considering the increasing burden, a…”
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Development and validation of an interpretable machine learning-based calculator for predicting 5-year weight trajectories after bariatric surgery: a multinational retrospective cohort SOPHIA study
Published in The Lancet. Digital health (01-10-2023)“…Weight loss trajectories after bariatric surgery vary widely between individuals, and predicting weight loss before the operation remains challenging. We aimed…”
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Development and validation of an interpretable machine learning-based calculator for predicting 5-year weight trajectories after bariatric surgery: a multinational retrospective cohort SOPHIA study
Published 31-08-2023“…Background Weight loss trajectories after bariatric surgery vary widely between individuals, and predicting weight loss before the operation remains…”
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