{"id":"W3165884485","doi":"10.1136/annrheumdis-2021-eular.912","title":"OP0179 DISCONTINUATION RATE OF TOFACITINIB IS SIMILAR WHEN COMPARED TO TNF INHIBITORS IN RHEUMATOID ARTHRITIS PATIENTS: POOLED DATA FROM TWO RHEUMATOID ARTHRITIS REGISTRIES IN CANADA","year":2021,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Rheumatoid Arthritis Research and Therapies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Montreal Clinical Research Institute; Toronto General Hospital","funders":"Merck Sharp and Dohme; Vrije Universiteit Amsterdam; Celgene; Gilead Sciences; Celltrion; Sanofi; Pfizer; Universitätsspital Basel; Eli Lilly and Company; Bristol-Myers Squibb","keywords":"Medicine; Tofacitinib; Rheumatoid arthritis; Discontinuation; Internal medicine; Etanercept; Hazard ratio; Abatacept; Proportional hazards model; Cohort; Imputation (statistics); Missing data; Confidence interval; Rituximab; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004558506,0.0005385178,0.002119607,0.002437595,0.0008517328,0.002524618,0.001365272,0.0009644728,0.002011692],"category_scores_gemma":[0.0158007,0.0007623462,0.005328489,0.008926882,0.0006635847,0.0007246154,0.0007251108,0.001113774,0.0002153433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009766188,"about_ca_system_score_gemma":0.01572398,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8775252,"about_ca_topic_score_gemma":0.9066697,"domain_scores_codex":[0.9924743,0.001393366,0.001083989,0.001310005,0.002411153,0.001327217],"domain_scores_gemma":[0.9828219,0.002449708,0.007485982,0.001183173,0.005059159,0.001000071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002288164,0.0000200597,0.9780391,0.0004657636,0.006628556,0.000157736,0.0001398234,0.0003493945,0.0001503088,0.0001325641,0.003382308,0.008246217],"study_design_scores_gemma":[0.0003492443,0.00007900799,0.9937268,0.0001530499,0.003022753,0.0001973195,0.0002050445,0.0003142827,0.00006946115,0.00004268592,0.001810913,0.00002938414],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9105112,0.03864931,0.0008659961,0.001678282,0.0002210543,0.000218514,0.04019751,0.00008314422,0.007574969],"genre_scores_gemma":[0.9815263,0.00659721,0.000269724,0.0006005098,0.00009047806,0.00004602848,0.009739738,0.0000342428,0.001095713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1224748,"threshold_uncertainty_score":0.2463922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04018979031541933,"score_gpt":0.2946120515726166,"score_spread":0.2544222612571972,"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."}}