{"id":"W4299340080","doi":"10.17615/ct1e-g414","title":"Liraglutide reduces cardiovascular events and mortality in type 2 diabetes mellitus independently of baseline low-density lipoprotein cholesterol levels and statin use results from the LEADER trial","year":2020,"lang":"en","type":"article","venue":"UNC Libraries","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Novartis Pharma; National Institutes of Health; Servier; Belvoir Media Group; Duke Clinical Research Institute; Novo Nordisk; Dexcom; Intarcia Therapeutics; Medicines Company; St. Jude Medical; MannKind Corporation; Regeneron Pharmaceuticals; Cleveland Clinic; Valeant Pharmaceuticals International; Kowa Company; Sanofi; AstraZeneca; Eli Lilly and Company; Esperion Therapeutics; GlaxoSmithKline; Amgen","keywords":"Liraglutide; Medicine; Internal medicine; Statin; Baseline (sea); Type 2 Diabetes Mellitus; Diabetes mellitus; Type 2 diabetes; Cholesterol; Cardiology; Endocrinology; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004444292,0.0001951405,0.0005385915,0.00004468943,0.00005512481,0.0000998191,0.00009110515,0.00007798137,0.00001322699],"category_scores_gemma":[0.0006105569,0.0001356444,0.00008741872,0.0001771866,0.0001912112,0.0004160832,0.0001786308,0.0001555597,0.00000255477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001219491,"about_ca_system_score_gemma":0.00006608525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001096453,"about_ca_topic_score_gemma":0.0001059008,"domain_scores_codex":[0.9983919,0.000223952,0.0004154933,0.0004001408,0.0003640824,0.0002044567],"domain_scores_gemma":[0.9990708,0.0003072247,0.0001158258,0.0003527291,0.00004180592,0.0001115653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.04262788,0.001445794,0.7860337,0.001038674,0.01015483,0.0002063454,0.02275734,0.0001085302,0.002934968,0.001580739,0.002436431,0.1286748],"study_design_scores_gemma":[0.03640167,0.0006823473,0.9200508,0.0003115368,0.0008383326,2.878182e-7,0.0007573326,0.00020257,0.03757346,0.001766466,0.001181766,0.0002334235],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933782,0.003515367,0.00001761272,0.00171402,0.0000975769,0.00104467,0.0001687879,0.00003384971,0.00002996446],"genre_scores_gemma":[0.9978958,0.0001113751,0.0009964557,0.0005676355,0.0001617224,0.00001755659,0.0001554794,0.00001784915,0.00007616719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1340171,"threshold_uncertainty_score":0.5531418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0592623738909814,"score_gpt":0.2493397760040744,"score_spread":0.190077402113093,"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."}}