{"id":"W3046891294","doi":"10.1111/dom.14160","title":"Effects of glucagon‐like peptide‐1 receptor agonists liraglutide and semaglutide on cardiovascular and renal outcomes across body mass index categories in type 2 diabetes: Results of the <scp>LEADER</scp> and <scp>SUSTAIN</scp> 6 trials","year":2020,"lang":"en","type":"article","venue":"Diabetes Obesity and Metabolism","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Lunenfeld-Tanenbaum Research Institute; St. Michael's Hospital","funders":"National Center for Advancing Translational Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; Novo Nordisk","keywords":"Semaglutide; Liraglutide; Medicine; Type 2 diabetes; Dulaglutide; Body mass index; Internal medicine; Lixisenatide; Placebo; Glucagon-like peptide 1 receptor; Overweight; Diabetes mellitus; Myocardial infarction; Glucagon-like peptide-1; Endocrinology; Receptor; Agonist","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001810323,0.0005531008,0.002365442,0.0001936087,0.0001932135,0.00009250903,0.0001799289,0.0002541513,0.000001019505],"category_scores_gemma":[0.004985674,0.0003906609,0.0003296005,0.0005142483,0.0005849626,0.0001852448,0.0003643734,0.0003582105,0.000001830081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003242482,"about_ca_system_score_gemma":0.00006855882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001078121,"about_ca_topic_score_gemma":0.00001745471,"domain_scores_codex":[0.9965252,0.0005568811,0.0008417364,0.0007677425,0.0005574668,0.0007509994],"domain_scores_gemma":[0.9966143,0.001948599,0.0004228074,0.0004999369,0.0001593736,0.0003549883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001377183,0.0004969835,0.9515079,0.004887128,0.004490419,0.00003130803,0.007788073,0.00003182497,0.0205938,0.0004010768,0.001698378,0.007935399],"study_design_scores_gemma":[0.009338338,0.0004831378,0.8801148,0.0003976564,0.001952159,6.148992e-7,0.001473408,0.00008663392,0.08579885,0.0002936402,0.01993709,0.0001236881],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9658842,0.03151638,0.000004217233,0.0003469227,0.0002766135,0.001665519,0.0001102137,0.00004672486,0.0001492244],"genre_scores_gemma":[0.9942015,0.004243728,0.000175711,0.0006241037,0.0001331625,0.00006546421,0.00004260837,0.00004603981,0.000467693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0713931,"threshold_uncertainty_score":0.9998545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01394781384431076,"score_gpt":0.2422442633921924,"score_spread":0.2282964495478817,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}