{"id":"W3043776022","doi":"10.1007/s12630-020-01755-9","title":"Long-term mortality and costs following use of Impella® for mechanical circulatory support: a population-based cohort study","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Anesthesia/Journal canadien d anesthésie","topic":"Mechanical Circulatory Support Devices","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut du Savoir Montfort; Toronto General Hospital; University of Toronto; University Health Network; Population Health Research Institute; McMaster University; Impact; Ottawa Hospital; Bruyère; University of Ottawa","funders":"Ontario Ministry of Health and Long-Term Care","keywords":"Impella; Medicine; Interquartile range; Cardiogenic shock; Retrospective cohort study; Emergency medicine; Population; Cohort; Cohort study; Health care; Internal medicine; Myocardial infarction; Environmental health","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":[0.0007793255,0.0005996096,0.000728319,0.001044242,0.0009055967,0.001425696,0.0006727015,0.00152458,0.001991175],"category_scores_gemma":[0.002015779,0.0008603808,0.002208547,0.001783949,0.0005248166,0.001446751,0.0007928628,0.0020383,0.0004350962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007697047,"about_ca_system_score_gemma":0.0006235728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01414185,"about_ca_topic_score_gemma":0.01418785,"domain_scores_codex":[0.9991599,0.0001497315,0.00009677569,0.0002508586,0.0001337067,0.0002089813],"domain_scores_gemma":[0.9982517,0.0002138273,0.0006751902,0.0002440124,0.0002110201,0.0004041955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004994806,0.0001453115,0.9981661,0.00000950634,0.0003560222,0.0001035282,0.00007112179,0.00002970528,0.0001535579,0.00001751167,0.00009311102,0.0003550036],"study_design_scores_gemma":[0.00002908582,0.0002830324,0.9987148,0.000006946112,0.0001594513,0.0001782795,0.0003423289,0.0001453969,0.00002072376,0.0000238363,0.00008311049,0.00001298631],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999136,0.0001558206,0.00005785655,0.00003337226,0.0000101455,0.00001040767,0.000401344,0.000002168112,0.0001928947],"genre_scores_gemma":[0.9990013,0.0001320562,0.0000508272,0.00004795953,0.0000201841,0.00001529064,0.0005390487,0.00000327057,0.0001901299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01414185,"threshold_uncertainty_score":0.02811909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02999966013838333,"score_gpt":0.2458414887044822,"score_spread":0.2158418285660989,"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."}}