{"id":"W2979886169","doi":"10.1016/j.cjca.2019.07.522","title":"THE GLUCAGON-LIKE PEPTIDE-1 RECEPTOR AGONISTS LIRAGLUTIDE AND SEMAGLUTIDE IMPROVE CARDIOVASCULAR AND RENAL OUTCOMES ACROSS BASELINE BLOOD PRESSURE CATEGORIES: ANALYSIS OF LEADER AND SUSTAIN 6","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Public Health","funders":"","keywords":"Semaglutide; Medicine; Liraglutide; Mace; Internal medicine; Blood pressure; Cardiology; Placebo; Clinical endpoint; Dulaglutide; Diabetic nephropathy; Myocardial infarction; Type 2 diabetes; Diabetes mellitus; Randomized controlled trial; Endocrinology; Kidney; Percutaneous coronary intervention","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.004016658,0.0007827582,0.003520393,0.0006241885,0.000321795,0.001161398,0.0006955711,0.0007442861,0.002945842],"category_scores_gemma":[0.005210003,0.0003709866,0.005581105,0.0007530621,0.0005484685,0.001302288,0.0009283292,0.001572612,0.0003580266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008981559,"about_ca_system_score_gemma":0.001428734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002396667,"about_ca_topic_score_gemma":0.00673496,"domain_scores_codex":[0.9982774,0.0007920944,0.0001488903,0.0002105684,0.000367927,0.000203119],"domain_scores_gemma":[0.9952223,0.002251999,0.001015402,0.0004718139,0.0004002079,0.0006383258],"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":[0.6617451,0.003587074,0.1595824,0.001391258,0.03550066,0.0001268414,0.0002655257,0.001520632,0.001899022,0.0005226002,0.004558733,0.1293001],"study_design_scores_gemma":[0.1503534,0.1300208,0.6559082,0.0006019465,0.04805455,0.0003769519,0.0007680503,0.005754944,0.001766515,0.001722076,0.004437639,0.0002349397],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880269,0.006894832,0.0003937852,0.0004834899,0.00006857803,0.0001664515,0.001908274,0.00006468831,0.001993072],"genre_scores_gemma":[0.9941469,0.001912543,0.0007583697,0.0004228596,0.0001094517,0.0001393714,0.001885848,0.00002703659,0.0005975226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004016658,"threshold_uncertainty_score":0.02124232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006945901322285288,"score_gpt":0.2283915487818863,"score_spread":0.221445647459601,"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."}}