{"id":"W2967673574","doi":"10.1111/ctr.13696","title":"Associations of obesity with antidiabetic medication use after living kidney donation: An analysis of linked national registry and pharmacy fill records","year":2019,"lang":"en","type":"article","venue":"Clinical Transplantation","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Alberta","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Health Resources and Services Administration; National Institute of Allergy and Infectious Diseases; Hennepin Healthcare Research Institute; U.S. Department of Health and Human Services","keywords":"Medicine; Underweight; Overweight; Body mass index; Obesity; Hazard ratio; Pharmacy; Incidence (geometry); Internal medicine; Metformin; Diabetes mellitus; Insulin; Endocrinology; Confidence interval; Family medicine","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":[0.005194286,0.0003054753,0.0005610297,0.002420184,0.0004168854,0.001275672,0.0007401966,0.0005603867,0.001432546],"category_scores_gemma":[0.01386324,0.0004736657,0.001219972,0.004286518,0.0003271764,0.001039613,0.001305687,0.0008459585,0.0003004662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003874087,"about_ca_system_score_gemma":0.0005674054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006012417,"about_ca_topic_score_gemma":0.0063103,"domain_scores_codex":[0.9941754,0.002511711,0.0009592668,0.0009565832,0.0009600909,0.0004369743],"domain_scores_gemma":[0.9764668,0.005865573,0.01338471,0.002085648,0.001456108,0.000741123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006077147,0.000018554,0.9992347,0.000008452896,0.0001293537,0.00001741849,0.00002370171,0.00003491103,0.0000314484,0.00000845895,0.00005882263,0.0003734353],"study_design_scores_gemma":[0.00001341435,0.00007265784,0.9982038,0.0000179223,0.0001083248,0.0002024348,0.0001448116,0.0009058214,0.0000755545,0.00002100157,0.0002264597,0.000007789464],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970613,0.0002738444,0.0002906414,0.00005514329,0.000007812097,0.00001545807,0.002066038,0.000007462228,0.0002221272],"genre_scores_gemma":[0.9975168,0.00009795027,0.0002014543,0.00003443369,0.00001287202,0.00002420426,0.002016021,0.000004921204,0.0000914208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006012417,"threshold_uncertainty_score":0.02747035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06197040962454005,"score_gpt":0.3847932871307133,"score_spread":0.3228228775061733,"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."}}