{"id":"W3128947982","doi":"10.1097/tp.0000000000003639","title":"Impact of Pretransplant and New-Onset Diabetes After Transplantation on the Risk of Major Adverse Cardiovascular Events in Kidney Transplant Recipients: A Population-based Cohort Study","year":2021,"lang":"en","type":"article","venue":"Transplantation","topic":"Renal Transplantation Outcomes and Treatments","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Health Sciences Centre; Sunnybrook Health Science Centre; University of Ottawa; Toronto General Hospital; University of Toronto; University Health Network","funders":"","keywords":"Mace; Medicine; Hazard ratio; Diabetes mellitus; Internal medicine; Population; Transplantation; Proportional hazards model; Kidney transplantation; Cohort; Incidence (geometry); Cohort study; Confidence interval; Endocrinology; Myocardial infarction; Percutaneous coronary intervention; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00130755,0.0003468442,0.0005098104,0.0006668021,0.0006485856,0.001035915,0.0005714774,0.0005083597,0.001111331],"category_scores_gemma":[0.002297456,0.0003626852,0.0009094493,0.001300526,0.0002973631,0.0005540765,0.0005437518,0.0009828007,0.0001636974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008616073,"about_ca_system_score_gemma":0.001203246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04565663,"about_ca_topic_score_gemma":0.05469862,"domain_scores_codex":[0.9991853,0.0001325428,0.00006551184,0.0002018113,0.0002289879,0.0001858687],"domain_scores_gemma":[0.9978397,0.000229039,0.000749059,0.0002866862,0.000322937,0.000572577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001133096,0.0000250577,0.9993142,0.000003738958,0.00009489698,0.00003707564,0.00002995727,0.00001775677,0.00004707347,0.000006184155,0.00004573544,0.0002650606],"study_design_scores_gemma":[0.00001031201,0.00004356397,0.9996136,0.000002945751,0.00004385698,0.00008119935,0.00004207761,0.00007823193,0.000009419788,0.000008275796,0.00006361666,0.000002939619],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985514,0.0002787035,0.00006643632,0.00004810271,0.000009473277,0.00001197443,0.0007696263,0.000002538137,0.0002616959],"genre_scores_gemma":[0.9990017,0.000141276,0.00006103141,0.00002788823,0.00001159007,0.000008993998,0.0006303214,0.00000174115,0.0001154638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04565663,"threshold_uncertainty_score":0.09078175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0121925435725692,"score_gpt":0.2670920694733349,"score_spread":0.2548995259007656,"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."}}