{"id":"W4306319388","doi":"10.1093/eurheartj/ehac544.2400","title":"Does dulaglutide impact a composite outcome reflecting atherosclerosis? A post-hoc analysis of the REWIND trial","year":2022,"lang":"en","type":"article","venue":"European Heart Journal","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Population Health Research Institute","funders":"","keywords":"Medicine; Dulaglutide; Post-hoc analysis; Internal medicine; Hazard ratio; Myocardial infarction; Clinical endpoint; Placebo; Type 2 diabetes; Stroke (engine); Cardiology; Diabetes mellitus; Randomized controlled trial; Liraglutide; Confidence interval; Endocrinology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01069603,0.001637987,0.003722018,0.0002883881,0.0003600423,0.00109842,0.0009629151,0.001073101,0.003562419],"category_scores_gemma":[0.009621895,0.0003407526,0.00522202,0.0003615988,0.0008931251,0.001210857,0.0005952819,0.001967989,0.0004397834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005811492,"about_ca_system_score_gemma":0.0009705052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004168305,"about_ca_topic_score_gemma":0.0008076413,"domain_scores_codex":[0.99196,0.005783667,0.0005199089,0.0006111872,0.0005400339,0.0005851489],"domain_scores_gemma":[0.991794,0.004365169,0.001743777,0.001143635,0.0005496905,0.0004037168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.9617174,0.0012565,0.006569384,0.001049813,0.01049865,0.0001178806,0.00007746504,0.0007187919,0.002455412,0.0003658112,0.001552262,0.01362062],"study_design_scores_gemma":[0.607824,0.2686089,0.06927694,0.0005756009,0.03222882,0.0002699906,0.0003017716,0.004469823,0.007359041,0.002083579,0.006769984,0.0002314814],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841251,0.007157122,0.001672115,0.0007203872,0.0006437351,0.001667119,0.001425352,0.00006446274,0.002524585],"genre_scores_gemma":[0.9933862,0.0008239022,0.0009616835,0.0005661084,0.0004755392,0.001332535,0.001162978,0.00003273366,0.0012582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01069603,"threshold_uncertainty_score":0.05656672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07176318798663013,"score_gpt":0.360744396456621,"score_spread":0.2889812084699909,"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."}}