{"id":"W4389229748","doi":"10.1182/blood-2023-187008","title":"Trends in Heparin-Induced Thrombocytopenia in the Pre-Pandemic and Peak-Pandemic Era, and Impact of COVID-19 on Mortality; An Analysis Via the National Inpatient Sample","year":2023,"lang":"en","type":"article","venue":"Blood","topic":"Heparin-Induced Thrombocytopenia and Thrombosis","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brampton Civic Hospital","funders":"","keywords":"Pandemic; Medicine; Coronavirus disease 2019 (COVID-19); Heparin-induced thrombocytopenia; Odds; Emergency medicine; Incidence (geometry); Diagnosis code; Mortality rate; Odds ratio; Intensive care medicine; Demography; Internal medicine; Heparin; Population; Logistic regression; Environmental health; Disease","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":[0.00229003,0.0003222039,0.0004645794,0.002473096,0.0003054942,0.0006455751,0.0007611579,0.0003331803,0.001090342],"category_scores_gemma":[0.004943206,0.0002969961,0.001104013,0.002848499,0.0002773923,0.0007446766,0.001177856,0.0006823221,0.0002986991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009342974,"about_ca_system_score_gemma":0.0009572282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02007676,"about_ca_topic_score_gemma":0.02052283,"domain_scores_codex":[0.9979881,0.0004530301,0.0004536992,0.0004215943,0.0004506967,0.0002328869],"domain_scores_gemma":[0.9969132,0.0004505132,0.001469463,0.0002777134,0.000542174,0.000346899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009328435,0.0000224343,0.9985434,0.00003439302,0.0001331154,0.00002571168,0.00006791819,0.000108864,0.00006825278,0.00003470718,0.0003301961,0.0005377479],"study_design_scores_gemma":[0.000004174562,0.00005914795,0.9985898,0.00001910242,0.00003433624,0.00008359274,0.0002466677,0.0005913565,0.00004815665,0.00001407964,0.0003045438,0.000005101257],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983552,0.0003085737,0.0002941924,0.00006836412,0.00001502474,0.0000691258,0.01504948,0.00001328269,0.0006298887],"genre_scores_gemma":[0.9797357,0.0002174389,0.0004220839,0.00006013504,0.00002073436,0.0001877317,0.01912481,0.00000925458,0.0002220066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02007676,"threshold_uncertainty_score":0.03991979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1053384998330299,"score_gpt":0.4064924469505515,"score_spread":0.3011539471175216,"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."}}