{"id":"W4401434535","doi":"10.1111/dom.15834","title":"Real‐world impact of adding a glucagon‐like peptide‐1 receptor agonist compared with basal insulin on metabolic targets in adults living with type 2 diabetes and chronic kidney disease already treated with a sodium‐glucose co‐transporter‐2 inhibitor: The Impact GLP‐1 CKD study","year":2024,"lang":"en","type":"article","venue":"Diabetes Obesity and Metabolism","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"LMC Diabetes & Endocrinology (Canada)","funders":"Novo Nordisk Canada; Novo Nordisk","keywords":"Medicine; Internal medicine; Glucagon-like peptide 1 receptor; Type 2 diabetes; Endocrinology; Cohort; Basal (medicine); Albuminuria; Diabetes mellitus; Insulin; Kidney disease; Liraglutide; Renal function; Population; Agonist; Receptor","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.002182362,0.0005202881,0.0008242163,0.0002422878,0.0004419054,0.0009637506,0.0005434067,0.0007848077,0.001163473],"category_scores_gemma":[0.004091523,0.000257565,0.002539498,0.0006136599,0.0003525258,0.0004788141,0.0005617609,0.001202505,0.0001103726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002167408,"about_ca_system_score_gemma":0.002410565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05850938,"about_ca_topic_score_gemma":0.07094206,"domain_scores_codex":[0.9984326,0.0006111755,0.0001295068,0.0003403346,0.0002562125,0.0002301238],"domain_scores_gemma":[0.9980084,0.0004075951,0.0007569228,0.0001205461,0.0001599217,0.0005466765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.2010492,0.005373012,0.7423149,0.0007343487,0.01125829,0.0001325835,0.000212717,0.002221282,0.001014016,0.0001954169,0.00255269,0.03294145],"study_design_scores_gemma":[0.01851396,0.03342013,0.9334975,0.0001694894,0.008624329,0.0001165222,0.0003828868,0.003027264,0.0005434689,0.0001797984,0.001439007,0.00008568622],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970061,0.0009190036,0.00006629639,0.0001674513,0.00003717713,0.0000957489,0.001155325,0.000004922908,0.000548077],"genre_scores_gemma":[0.9979669,0.0003420686,0.000163724,0.0001621775,0.00003492255,0.00006200974,0.001133982,0.000001719738,0.0001324299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05850938,"threshold_uncertainty_score":0.1163377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007706077229673021,"score_gpt":0.2478267646841581,"score_spread":0.2401206874544851,"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."}}