{"id":"W2922787184","doi":"10.1016/j.kint.2019.02.033","title":"Analysis from the EMPA-REG OUTCOME® trial indicates empagliflozin may assist in preventing the progression of chronic kidney disease in patients with type 2 diabetes irrespective of medications that alter intrarenal hemodynamics","year":2019,"lang":"en","type":"article","venue":"Kidney International","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":102,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"Canadian Institutes of Health Research; University of Toronto; University Health Network; Juvenile Diabetes Research Foundation Canada; AstraZeneca; Canadian Diabetes Association; Novo Nordisk; AbbVie; Boehringer Ingelheim; Eli Lilly and Company","keywords":"Empagliflozin; Medicine; EMPA; Internal medicine; Kidney disease; Diabetes mellitus; Placebo; Diabetic nephropathy; Nephropathy; Type 2 diabetes; Cardiology; Endocrinology; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002921742,0.0001495102,0.0003264572,0.0003072199,0.00002734778,0.00001980859,0.0003105563,0.00004173426,0.0004338021],"category_scores_gemma":[0.0003628635,0.0000804278,0.0001265699,0.0005141441,0.0001213697,0.0001160862,0.0001205432,0.0001591692,0.000006603356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001940317,"about_ca_system_score_gemma":0.000253475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009477947,"about_ca_topic_score_gemma":0.00007893303,"domain_scores_codex":[0.9983891,0.00009605402,0.0004372335,0.0002597752,0.0006467889,0.0001710024],"domain_scores_gemma":[0.9988576,0.0001931457,0.0003946996,0.0003208666,0.0001129053,0.0001208074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001754019,0.001048804,0.993453,0.00003296785,0.001885244,0.000001098558,0.0002957887,0.00006712477,0.00001499657,0.0001234011,0.0002277563,0.001095766],"study_design_scores_gemma":[0.01326036,0.0002632928,0.9805918,0.0004241212,0.0009106918,1.681253e-8,0.00006748751,0.00397004,0.0001602016,0.00008827313,0.0001844707,0.00007923807],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936376,0.00006724393,0.00001893496,0.004301833,0.0002431116,0.001137762,0.0002267054,0.000009377619,0.0003574225],"genre_scores_gemma":[0.9973783,0.000009234415,0.0001106214,0.0002649732,0.00006715816,0.00009345164,0.001892883,0.00001263262,0.0001707832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01286123,"threshold_uncertainty_score":0.4749829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008964440251845096,"score_gpt":0.2819541485866346,"score_spread":0.2729897083347895,"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."}}