{"id":"W4414439812","doi":"10.1016/j.ajpc.2025.101192","title":"GALECTIN-3 AND LONG-TERM CARDIOVASCULAR RISK IN PATIENTS WITH MYOCARDIAL INFARCTION TREATED WITH PCI: A META-ANALYSIS OF 5,457 PATIENTS","year":2025,"lang":"en","type":"article","venue":"American Journal of Preventive Cardiology","topic":"Galectins and Cancer Biology","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mace; Myocardial infarction; Hazard ratio; Prospective cohort study; Proportional hazards model; Biomarker; Percutaneous coronary intervention; Cohort study","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005440841,0.00025987,0.002674247,0.0008523604,0.00006928082,0.000005472809,0.0001609986,0.0001356863,0.00003358626],"category_scores_gemma":[0.00008286252,0.0001699645,0.001125186,0.001140548,0.0007768355,0.00007286363,0.00005854826,0.0004088123,7.81103e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000865339,"about_ca_system_score_gemma":0.00009916022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003247465,"about_ca_topic_score_gemma":0.0001175659,"domain_scores_codex":[0.9968134,0.001829566,0.0006003096,0.0003703256,0.00008448069,0.0003019768],"domain_scores_gemma":[0.9979201,0.0001999571,0.0008941868,0.0002949404,0.0006599133,0.00003090768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001558407,0.00009830597,0.7279276,0.000005505166,0.262125,0.000005130453,0.00008639116,0.0003293415,0.00006103003,0.000003603579,0.00001610709,0.007783536],"study_design_scores_gemma":[0.00338593,0.003364787,0.8837885,0.00001236087,0.1089062,0.00002033918,0.00009910012,2.448142e-7,0.0001323524,0.000007062004,0.0001465666,0.0001365278],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947729,0.003449823,0.001125177,0.00001420378,0.0001308394,0.0002933397,0.00007316563,0.000005556875,0.0001349715],"genre_scores_gemma":[0.9994397,0.0003251708,0.00005749982,0.00003946835,0.00001223609,0.00002197031,0.00005703588,0.00001147107,0.00003543702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.155861,"threshold_uncertainty_score":0.6930951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006078276307911887,"score_gpt":0.2223176591142845,"score_spread":0.2162393828063726,"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."}}