{"id":"W2073063260","doi":"10.1111/jth.12874","title":"Anemia predicts thromboembolic events, bleeding complications and mortality in patients with atrial fibrillation: insights from the RE‐LY trial","year":2015,"lang":"en","type":"article","venue":"Journal of Thrombosis and Haemostasis","topic":"Erythropoietin and Anemia Treatment","field":"Medicine","cited_by":78,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hamilton Health Sciences; McMaster University; Population Health Research Institute","funders":"Daiichi Sankyo Europe; Janssen Biotech; Aegerion Pharmaceuticals; Regado Biosciences; Sanofi; Janssen Scientific Affairs; St. Jude Medical; Daiichi-Sankyo; Amgen; Pfizer; GlaxoSmithKline","keywords":"Medicine; Atrial fibrillation; Hazard ratio; Internal medicine; Anemia; Stroke (engine); Warfarin; Discontinuation; Myocardial infarction; Confidence interval; Proportional hazards model; Population; Cardiology","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":[0.00218038,0.0009673444,0.002305586,0.0002306762,0.0003793656,0.001470627,0.0005357351,0.001218489,0.001837416],"category_scores_gemma":[0.004052964,0.0003698755,0.001957364,0.000458162,0.0004563509,0.0007589521,0.0005182909,0.002452805,0.0003062206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004140889,"about_ca_system_score_gemma":0.0006407471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001137101,"about_ca_topic_score_gemma":0.002637869,"domain_scores_codex":[0.9991056,0.0004928323,0.00008373018,0.0001229945,0.00008606226,0.0001086355],"domain_scores_gemma":[0.9971406,0.001179092,0.0007342159,0.0002824551,0.0001451833,0.0005184132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.4196385,0.003822876,0.4784501,0.001248933,0.0244804,0.0004688535,0.0002347698,0.001517276,0.002914875,0.0008199495,0.008430559,0.05797294],"study_design_scores_gemma":[0.1467168,0.02378315,0.7881008,0.0003871421,0.02798164,0.0007932916,0.0003132054,0.002957008,0.0007049853,0.001895008,0.006200431,0.0001665116],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881726,0.007682787,0.0001598408,0.001326532,0.0001693104,0.00008172105,0.0008873743,0.00001969428,0.001500129],"genre_scores_gemma":[0.9929239,0.002662789,0.0003763351,0.0007965947,0.0005579507,0.0001338341,0.001758955,0.00001016022,0.0007794643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002305586,"threshold_uncertainty_score":0.01153111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07775704806054762,"score_gpt":0.3264621589376229,"score_spread":0.2487051108770753,"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."}}