{"id":"W4323653534","doi":"10.1161/jaha.122.026605","title":"Variability in Nonvitamin K Oral Anticoagulant Dose Eligibility and Adjustment According to Renal Formulae and Clinical Outcomes in Patients With Atrial Fibrillation With and Without Chronic Kidney Disease: Insights From ORBIT‐AF II","year":2023,"lang":"en","type":"article","venue":"Journal of the American Heart Association","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Advancing Health Outcomes; Université de Montréal; Montreal Heart Institute; BC Innovation Council; University of British Columbia","funders":"Duke Clinical Research Institute","keywords":"Medicine; Rivaroxaban; Kidney disease; Atrial fibrillation; Renal function; Internal medicine; Dabigatran; Stroke (engine); Dosing; Hazard ratio; Apixaban; Population; Intensive care medicine; Cardiology; Warfarin; Confidence interval","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":[0.002619819,0.0002463329,0.0005248307,0.0006802661,0.0002456516,0.001158314,0.0004224527,0.0004659378,0.0008145262],"category_scores_gemma":[0.009516905,0.0001850831,0.0007593141,0.001192757,0.0003370625,0.000481053,0.0009193058,0.0006038495,0.000120051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006525288,"about_ca_system_score_gemma":0.0005524934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006928381,"about_ca_topic_score_gemma":0.00497805,"domain_scores_codex":[0.9984899,0.0004562044,0.0002093939,0.0003461804,0.000363669,0.0001347084],"domain_scores_gemma":[0.9915952,0.003073946,0.003688774,0.0006834245,0.000489604,0.0004690456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007740282,0.00005160345,0.9924636,0.00002632522,0.0002278602,0.00005548356,0.0002615307,0.0001453787,0.0001659626,0.0000732796,0.0003076398,0.005447251],"study_design_scores_gemma":[0.00005837877,0.0001295451,0.9983684,0.00001595682,0.0001008273,0.0001580156,0.0001154519,0.0004698903,0.0000426793,0.0001467161,0.0003845492,0.000009610902],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968948,0.0009697767,0.0002943272,0.0001869859,0.00001307773,0.00001640131,0.0007792493,0.000006602353,0.0008387073],"genre_scores_gemma":[0.997971,0.0002997282,0.000339633,0.0001277152,0.0000493874,0.0000157161,0.001055366,0.000007653068,0.0001338234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006928381,"threshold_uncertainty_score":0.0138551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02488044807324026,"score_gpt":0.3450475653233701,"score_spread":0.3201671172501299,"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."}}