{"id":"W2954659053","doi":"10.1053/j.ajkd.2019.03.432","title":"Glucose Control and the Effect of Empagliflozin on Kidney Outcomes in Type 2 Diabetes: An Analysis From the EMPA-REG OUTCOME Trial","year":2019,"lang":"en","type":"letter","venue":"American Journal of Kidney Diseases","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"Janssen Biotech; Servier; Daiichi-Sankyo; Novo Nordisk; Eisai; Intarcia Therapeutics; Sanofi; Merck; Boehringer Ingelheim; AstraZeneca; Eli Lilly and Company","keywords":"Medicine; Empagliflozin; Diabetes mellitus; Kidney disease; Internal medicine; Diabetic nephropathy; Type 2 diabetes; Glycemic; Disease; Nephropathy; Kidney; Population; 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":[0.004488348,0.0005375791,0.001969726,0.0003158513,0.000495428,0.001724541,0.0006654803,0.002741933,0.003142311],"category_scores_gemma":[0.01294121,0.0003234667,0.002033059,0.0008448001,0.000413153,0.0008073332,0.0004669057,0.003807879,0.0008032056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009141807,"about_ca_system_score_gemma":0.001266562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002668251,"about_ca_topic_score_gemma":0.00601205,"domain_scores_codex":[0.9974689,0.001575497,0.0002501755,0.0002096308,0.0003036284,0.0001921366],"domain_scores_gemma":[0.9906415,0.006290468,0.001361934,0.0004687277,0.0005460229,0.0006911568],"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":[0.357365,0.001593956,0.2033561,0.002305804,0.01660484,0.002001503,0.0002372329,0.001847323,0.001126066,0.002052506,0.2884842,0.1230255],"study_design_scores_gemma":[0.3419903,0.01381945,0.4767646,0.001870519,0.04322707,0.001896038,0.0005462574,0.007300309,0.001440965,0.01005694,0.1006582,0.0004294121],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6220596,0.05940679,0.0009819937,0.2415496,0.01500284,0.0004218823,0.0298409,0.0002099481,0.03052645],"genre_scores_gemma":[0.856862,0.008811194,0.001303179,0.1009189,0.01683826,0.0006598845,0.00683965,0.00006429513,0.007702624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004488348,"threshold_uncertainty_score":0.02373695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007286943888473314,"score_gpt":0.2702711140901823,"score_spread":0.2629841702017089,"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."}}