{"id":"W4288709987","doi":"10.1161/circgen.121.003423","title":"Cost-Effectiveness of Polygenic Risk Scores to Guide Statin Therapy for Cardiovascular Disease Prevention","year":2022,"lang":"en","type":"article","venue":"Circulation Genomic and Precision Medicine","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thrombosis and Atherosclerosis Research Institute; Impact; McMaster University; Population Health Research Institute; University of Toronto","funders":"Medical Research Council; Canadian Institutes of Health Research","keywords":"Medicine; Statin; Cohort; Cost effectiveness; Quality-adjusted life year; Cost-effectiveness analysis; Emergency medicine; Coronary artery disease; Quality of life (healthcare); Demography; Physical therapy; Internal medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002346936,0.0001006619,0.0002462502,0.00007605603,0.0001834923,0.000002905438,0.00009441622,0.00004316304,0.00004226952],"category_scores_gemma":[0.000560006,0.00009167408,0.000160481,0.00008924602,0.00004017067,0.00000217127,0.00007538227,0.00004541538,6.461506e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004004606,"about_ca_system_score_gemma":0.00008123684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006835883,"about_ca_topic_score_gemma":0.000002444667,"domain_scores_codex":[0.9984737,0.0005955564,0.0003189877,0.0003330377,0.0001497692,0.0001289223],"domain_scores_gemma":[0.9991602,0.0001852153,0.0001544238,0.0003002131,0.0001055333,0.00009439372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002204022,0.0001166265,0.330685,0.00007285213,0.0008726005,5.755816e-7,0.0004746136,0.2540596,0.1624215,0.00014759,0.002537339,0.2464077],"study_design_scores_gemma":[0.002259039,0.0007249475,0.9632082,0.00001863143,0.0001377181,0.000002592688,0.0001694684,0.001624413,0.0003077683,0.002619466,0.02879865,0.0001290865],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7797849,0.00713142,0.2116202,0.00007714685,0.0001472474,0.001128317,0.00008791138,0.000003871257,0.00001899066],"genre_scores_gemma":[0.9963785,0.0009345995,0.001550335,0.00009720161,0.0001174731,0.0003714271,0.0004325625,0.00001496197,0.0001029537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6325232,"threshold_uncertainty_score":0.373836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04293047088558214,"score_gpt":0.3372650240098561,"score_spread":0.2943345531242739,"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."}}