{"id":"W4408178947","doi":"10.1093/eurheartj/ehaf080","title":"Medical therapy and outcomes in REVIVED-BCIS2 and STICHES: an individual patient data analysis","year":2025,"lang":"en","type":"article","venue":"European Heart Journal","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute; St. Thomas Hospital","funders":"British Heart Foundation Centre of Regenerative Medicine; National Heart, Lung, and Blood Institute; Novo Nordisk; Alexion Pharmaceuticals; British Heart Foundation; National Institute for Health and Care Research; Abiomed; AstraZeneca","keywords":"Medicine; Conventional PCI; Hazard ratio; Ejection fraction; Randomized controlled trial; Percutaneous coronary intervention; Internal medicine; Heart failure; Revascularization; Cardiology; Coronary artery disease; Confidence interval; Surgery; Myocardial infarction","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":[0.03430999,0.001164047,0.004239227,0.001453666,0.0002691928,0.001405878,0.001367618,0.001153503,0.00287596],"category_scores_gemma":[0.0437413,0.0006631122,0.01172633,0.001998507,0.0006648505,0.001080125,0.001727464,0.001461143,0.0002048697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007822567,"about_ca_system_score_gemma":0.001062357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001212034,"about_ca_topic_score_gemma":0.001613647,"domain_scores_codex":[0.9525371,0.03799171,0.003714455,0.002979307,0.002178245,0.0005992111],"domain_scores_gemma":[0.9401599,0.03826858,0.01331197,0.005680581,0.001627497,0.0009514207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.4944264,0.001200596,0.2064615,0.007015537,0.2508855,0.0004250823,0.0004625045,0.004949869,0.001226366,0.0008858627,0.00377474,0.0282859],"study_design_scores_gemma":[0.1359694,0.0454746,0.5880025,0.00125578,0.1950039,0.0008614303,0.0006581463,0.01875103,0.001744873,0.002414635,0.009442361,0.000421303],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758273,0.00836317,0.004162855,0.0003991791,0.0001484877,0.00112671,0.008973818,0.00007734785,0.000921172],"genre_scores_gemma":[0.9890899,0.0006288252,0.002973118,0.0001798016,0.00007392851,0.001386414,0.005316861,0.00002251619,0.0003287161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03430999,"threshold_uncertainty_score":0.1814507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07618300326165571,"score_gpt":0.4175876948728032,"score_spread":0.3414046916111474,"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."}}