{"id":"W2999271152","doi":"10.1016/j.atherosclerosis.2020.01.002","title":"Association of diabetes with outcomes in patients undergoing contemporary percutaneous coronary intervention: Pre-specified subgroup analysis from the randomized GLOBAL LEADERS study","year":2020,"lang":"en","type":"article","venue":"Atherosclerosis","topic":"Antiplatelet Therapy and Cardiovascular Diseases","field":"Medicine","cited_by":80,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"Servier; Biosensors International Group; Medicines Company; Abbott Laboratories; Medicure; AstraZeneca; CSL Behring; Novartis; Terumo; Biotronik; Bayer; Amgen; Pfizer; Philips","keywords":"Medicine; Percutaneous coronary intervention; Conventional PCI; Clinical endpoint; Hazard ratio; Myocardial infarction; Internal medicine; Type 2 diabetes; Diabetes mellitus; Stent; Cardiology; Confidence interval; Drug-eluting stent; Randomized controlled trial; Endocrinology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003528991,0.001545244,0.00375655,0.0006171754,0.0004946803,0.001385163,0.000968594,0.001589714,0.002307884],"category_scores_gemma":[0.005262035,0.0008427427,0.008743491,0.0009218103,0.0006718241,0.0011408,0.00121139,0.002355406,0.0002082859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004488437,"about_ca_system_score_gemma":0.0006838526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001921024,"about_ca_topic_score_gemma":0.004238147,"domain_scores_codex":[0.9973991,0.001283354,0.0003231837,0.000500765,0.0001913055,0.0003023663],"domain_scores_gemma":[0.9972702,0.00107866,0.0006148847,0.0006048457,0.0001406117,0.0002908243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.4163211,0.001392071,0.4525898,0.001523308,0.1048477,0.0004437148,0.000351489,0.001239675,0.002347716,0.0004403626,0.002364408,0.01613856],"study_design_scores_gemma":[0.1248532,0.01499456,0.7333056,0.000290196,0.1181813,0.0003870612,0.0008055927,0.002829173,0.0007988606,0.001844766,0.001493827,0.0002158369],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942089,0.003495794,0.0004272792,0.0002715853,0.0001398834,0.0001250047,0.000902816,0.00002060032,0.0004080968],"genre_scores_gemma":[0.9971167,0.0005452143,0.0003419725,0.0002646069,0.0001584972,0.0001574435,0.001180838,0.00001319325,0.000221721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00375655,"threshold_uncertainty_score":0.01866335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02159301790513385,"score_gpt":0.2412199115816325,"score_spread":0.2196268936764987,"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."}}