{"id":"W2094772026","doi":"10.1016/j.amjcard.2011.05.035","title":"Usefulness of Preoperative Stroke Volume as Strong Predictor of Left Ventricular Remodeling and Outcomes After Aortic Valve Replacement in Patients With Severe Pure Aortic Regurgitation","year":2011,"lang":"en","type":"article","venue":"The American Journal of Cardiology","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut Universitaire de Cardiologie et de Pneumologie de Québec; Université Laval","funders":"Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval","keywords":"Medicine; Ejection fraction; Cardiology; Internal medicine; Aortic valve replacement; Ventricular remodeling; Stroke volume; Regurgitation (circulation); Diastole; Aortic valve; Stroke (engine); Heart failure; Blood pressure; Stenosis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007673886,0.0004702346,0.0006687788,0.0007350995,0.0004764376,0.0008956707,0.0004461984,0.0008596195,0.001085923],"category_scores_gemma":[0.003919959,0.000350331,0.0006170715,0.0004888182,0.0006443832,0.0008040859,0.000478645,0.001123954,0.0002028515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002112628,"about_ca_system_score_gemma":0.0005969205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006677061,"about_ca_topic_score_gemma":0.001365767,"domain_scores_codex":[0.9996309,0.000132282,0.00005942072,0.00005332096,0.00006064594,0.00006333917],"domain_scores_gemma":[0.9962323,0.001740174,0.0006866879,0.0002249407,0.0002152841,0.0009006248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004112574,0.00006094621,0.9977329,0.000006641178,0.00006936533,0.0001657682,0.00002866444,0.0000908809,0.0002978077,0.00002431272,0.00004570942,0.001065772],"study_design_scores_gemma":[0.00002025219,0.0002412479,0.9978648,0.000004857588,0.00008194539,0.0005128292,0.000126459,0.000886362,0.00009811947,0.00009813051,0.00005517794,0.000009906728],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999126,0.000252247,0.00007526091,0.0001144914,0.00001935513,0.00000260951,0.00005820689,0.000002740019,0.0003490346],"genre_scores_gemma":[0.9996156,0.00006571411,0.0000689956,0.00002308195,0.0000716631,0.000002180637,0.00009871972,0.000001359884,0.00005275677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001085923,"threshold_uncertainty_score":0.004058421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00963722413716347,"score_gpt":0.2637940778468485,"score_spread":0.254156853709685,"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."}}