{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005745478,0.001134308,0.0009651989,0.001346195,0.0003258515,0.00147253,0.001112361,0.001001892,0.002890355],"category_scores_gemma":[0.02354845,0.000433099,0.001453942,0.00119724,0.000625333,0.000916212,0.001042662,0.001015598,0.0001860196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006480316,"about_ca_system_score_gemma":0.004807576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08588412,"about_ca_topic_score_gemma":0.05220772,"domain_scores_codex":[0.9963619,0.002701944,0.0001100716,0.0002096063,0.0003588923,0.0002574653],"domain_scores_gemma":[0.9914056,0.006920136,0.0006976902,0.0002382003,0.0004755167,0.0002628786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002570498,0.0003452262,0.05100718,0.0003812502,0.00139521,0.0001585899,0.00008840144,0.8868815,0.0002983925,0.006554438,0.001942027,0.04837724],"study_design_scores_gemma":[0.001076936,0.00128208,0.04064961,0.0003573163,0.002091358,0.0003203711,0.0001295722,0.9383981,0.0004102733,0.01277341,0.002398112,0.0001129101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.922178,0.006295973,0.04637415,0.0047732,0.00009557479,0.00127121,0.004977296,0.0001990296,0.0138356],"genre_scores_gemma":[0.9919301,0.0005656254,0.006251819,0.0001497025,0.00001346586,0.00009427701,0.000555286,0.000007716833,0.0004319921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08588412,"threshold_uncertainty_score":0.1707684,"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."}}