{"id":"W4385997350","doi":"10.1007/s40273-023-01309-z","title":"Cost-Effectiveness Analysis of Pharmacogenomics (PGx)-Based Warfarin, Apixaban, and Rivaroxaban Versus Standard Warfarin for the Management of Atrial Fibrillation in Ontario, Canada","year":2023,"lang":"en","type":"article","venue":"PharmacoEconomics","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; Western University","funders":"Canadian Institutes of Health Research","keywords":"Warfarin; Apixaban; Rivaroxaban; Medicine; Pharmacogenomics; Atrial fibrillation; Quality-adjusted life year; Cost-effectiveness analysis; Cost effectiveness; Internal medicine; Pharmacology; Risk analysis (engineering)","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":[0.001655854,0.0006504652,0.001216569,0.0009333743,0.0008420717,0.001485782,0.001508668,0.0008427905,0.003200558],"category_scores_gemma":[0.008176092,0.0005793196,0.00263419,0.002356475,0.0007558099,0.0004649211,0.0008276417,0.001093645,0.00009028797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1038557,"about_ca_system_score_gemma":0.06776657,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9809729,"about_ca_topic_score_gemma":0.9848769,"domain_scores_codex":[0.9975618,0.0008432863,0.0001843988,0.0001844777,0.0006106611,0.0006152909],"domain_scores_gemma":[0.9955899,0.001261861,0.0009118961,0.00007891965,0.0009769149,0.001180631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.1052528,0.004256251,0.6014078,0.006002843,0.01601685,0.001192883,0.0008327782,0.1253584,0.001983995,0.005955161,0.02659756,0.1051425],"study_design_scores_gemma":[0.02182175,0.006943766,0.8697716,0.001000763,0.01054728,0.0004799504,0.001375448,0.08010866,0.0005277743,0.0008217489,0.006384769,0.0002164018],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766285,0.008474613,0.0004237319,0.002508988,0.00009165793,0.0008130711,0.005817746,0.00003284743,0.005208836],"genre_scores_gemma":[0.9951486,0.001871416,0.000468716,0.0003315564,0.00002834956,0.00009892174,0.001149238,0.000004836591,0.0008982515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1038557,"threshold_uncertainty_score":0.7535293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1715716154063441,"score_gpt":0.4383078809439672,"score_spread":0.2667362655376231,"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."}}