{"id":"W2804712568","doi":"10.1186/s12933-018-0682-3","title":"Rationale, design, and baseline characteristics of the CArdiovascular safety and Renal Microvascular outcomE study with LINAgliptin (CARMELINA®): a randomized, double-blind, placebo-controlled clinical trial in patients with type 2 diabetes and high cardio-renal risk","year":2018,"lang":"en","type":"article","venue":"Cardiovascular Diabetology","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Eli Lilly and Company","keywords":"Linagliptin; Medicine; Kidney disease; Placebo; Randomized controlled trial; Internal medicine; Hazard ratio; Renal function; Population; Type 2 diabetes; Clinical trial; Diabetes mellitus; Confidence interval; Endocrinology; Pathology","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":[0.0535072,0.006287226,0.005645224,0.002555747,0.003115688,0.003579485,0.003873898,0.00605801,0.02665001],"category_scores_gemma":[0.03701141,0.003645989,0.003178487,0.00265377,0.005742183,0.002442829,0.001680442,0.006686517,0.009942486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002110245,"about_ca_system_score_gemma":0.0113233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001205849,"about_ca_topic_score_gemma":0.001941561,"domain_scores_codex":[0.9640846,0.0243974,0.002348734,0.003908141,0.003672784,0.001588396],"domain_scores_gemma":[0.9865745,0.003806811,0.001870702,0.001625157,0.00322496,0.002897866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.6366718,0.03194564,0.01947741,0.03639258,0.004071968,0.001797301,0.002090903,0.003626591,0.01071516,0.04126949,0.08478356,0.1271576],"study_design_scores_gemma":[0.6782669,0.06960869,0.02215553,0.009783654,0.005078359,0.0008979334,0.0005891409,0.005179965,0.00272235,0.02323487,0.1819382,0.0005443699],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"protocol","genre_gemma":"empirical","genre_scores_codex":[0.01448048,0.005884551,0.01284465,0.004039842,0.003688032,0.9458572,0.007348741,0.0002099202,0.005646603],"genre_scores_gemma":[0.02293211,0.001204564,0.0148787,0.004142748,0.0008603736,0.9526717,0.001560815,0.00002831258,0.001720587],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0535072,"threshold_uncertainty_score":0.2829764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01964555084014042,"score_gpt":0.2574619648360832,"score_spread":0.2378164139959428,"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."}}