{"id":"W3103002140","doi":"10.1016/j.kint.2020.10.031","title":"Characterization and implications of the initial estimated glomerular filtration rate ‘dip’ upon sodium-glucose cotransporter-2 inhibition with empagliflozin in the EMPA-REG OUTCOME trial","year":2020,"lang":"en","type":"article","venue":"Kidney International","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":212,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Sinai Hospital; Lunenfeld-Tanenbaum Research Institute; University Health Network; University of Toronto","funders":"National Institutes of Health; Akebia Therapeutics; Relypsa; Astellas Pharma; Boston Scientific Corporation; Amgen; Boehringer Ingelheim; Daiichi-Sankyo; Novo Nordisk; Intarcia Therapeutics; Nestlé Health Science; Sanofi; Pfizer; AstraZeneca; Eli Lilly and Company","keywords":"Empagliflozin; Medicine; Renal function; Internal medicine; Diuretic; Hazard ratio; Placebo; Kidney disease; Odds ratio; Urology; Confidence interval; Type 2 diabetes; Diabetes mellitus; 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":[0.01213487,0.0008749961,0.002429591,0.0002648273,0.0004524176,0.002896044,0.0007679826,0.00116511,0.001357028],"category_scores_gemma":[0.009450371,0.0003031069,0.002836344,0.0005437391,0.0007563618,0.001820106,0.0007932814,0.004150684,0.0003771051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009101853,"about_ca_system_score_gemma":0.001100798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006085085,"about_ca_topic_score_gemma":0.0009333934,"domain_scores_codex":[0.9954187,0.002796806,0.0003618627,0.0004629466,0.0004870346,0.0004727453],"domain_scores_gemma":[0.993773,0.002624043,0.001422078,0.0007685153,0.0005091219,0.0009031584],"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":[0.8123567,0.002313324,0.09032268,0.0008511211,0.01069803,0.0002419508,0.0002135269,0.001893418,0.002460918,0.001927188,0.005138917,0.07158227],"study_design_scores_gemma":[0.1640098,0.09744291,0.6719072,0.0005034493,0.02746803,0.0006227106,0.0003795153,0.008068655,0.005050458,0.00728849,0.01697366,0.0002851719],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789116,0.006942031,0.001406326,0.002942285,0.0005332613,0.0003685038,0.001747915,0.00006978866,0.007078175],"genre_scores_gemma":[0.9950929,0.000590596,0.0004226481,0.001204124,0.0003564855,0.000198402,0.001454201,0.0000161336,0.0006645301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01213487,"threshold_uncertainty_score":0.06417608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03952805095619276,"score_gpt":0.2999901772128829,"score_spread":0.2604621262566901,"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."}}