{"id":"W3038142658","doi":"10.1111/1753-0407.13083","title":"Alternative kidney filtration markers and the risk of major macrovascular and microvascular events, and <scp>all‐cause</scp> mortality in individuals with type 2 diabetes in the <scp>ADVANCE</scp> trial","year":2020,"lang":"en","type":"article","venue":"Journal of Diabetes","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"National Heart, Lung, and Blood Institute; National Health and Medical Research Council; MSD Australia; Roche Diagnostics; National Institutes of Health; Julius Clinical; Menarini Group; Monash University; British Heart Foundation; National Institute for Health and Care Research; Novo Nordisk; Daiichi Sankyo Europe; Sanofi; Eli Lilly and Company; AstraZeneca; Diabetes UK; Servier; National Institute of Diabetes and Digestive and Kidney Diseases; Amgen","keywords":"Medicine; Renal function; Diabetes mellitus; Internal medicine; Cystatin C; Type 2 diabetes; Kidney disease; Creatinine; Proportional hazards model; Macrovascular disease; Confounding; 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":[0.002369694,0.0005498907,0.001060229,0.0002149373,0.00024947,0.001041945,0.0003559751,0.0007467143,0.001300624],"category_scores_gemma":[0.002050246,0.000227004,0.001652699,0.0004118618,0.0002875608,0.0004729322,0.0003919101,0.00120942,0.00008106576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002244288,"about_ca_system_score_gemma":0.0005162922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001183582,"about_ca_topic_score_gemma":0.002389089,"domain_scores_codex":[0.9992638,0.0003914234,0.00005930692,0.0001291729,0.00009162782,0.00006466588],"domain_scores_gemma":[0.9983366,0.0005181398,0.0005702022,0.0001330929,0.0001168133,0.0003251881],"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":[0.4845617,0.002121813,0.4687856,0.001576062,0.01417219,0.000166152,0.00008163191,0.001321367,0.001641169,0.0002869583,0.00253408,0.02275119],"study_design_scores_gemma":[0.0866029,0.03070349,0.8450038,0.0004042048,0.02483366,0.0005105017,0.0001429209,0.005695214,0.001764813,0.001114504,0.003134971,0.00008899145],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935134,0.004777818,0.0001610519,0.0001643403,0.00006383809,0.00006961272,0.0006340375,0.000008977247,0.0006069366],"genre_scores_gemma":[0.9970324,0.0009220992,0.0003080068,0.0001330361,0.0001408997,0.00009225148,0.0009470094,0.000002571685,0.0004218068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002369694,"threshold_uncertainty_score":0.01253223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0120250250960832,"score_gpt":0.2527793367515292,"score_spread":0.240754311655446,"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."}}