{"id":"W2952793585","doi":"10.1136/annrheumdis-2019-eular.1607","title":"THU0116   COMPARATIVE SAFETY OF BIOLOGIC DMARDS AND ABATACEPT IN RHEUMATOID ARTHRITIS WITH COPD: A REAL-WORLD POPULATION-BASED OBSERVATIONAL STUDY","year":2019,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Japan Society for the Promotion of Science; Pfizer Japan; Ono Pharmaceutical; AbbVie Canada; Amgen; Astellas Foundation for Research on Metabolic Disorders; Japan Blood Products Organization; McGill University; Gilead Sciences; Teijin Pharma; Pfizer; Chugai Pharmaceutical; Mitsubishi Tanabe Pharma Corporation; AstraZeneca; Eli Lilly and Company; Bristol-Myers Squibb","keywords":"Abatacept; Medicine; COPD; Internal medicine; Rheumatoid arthritis; Adverse effect; Hazard ratio; Observational study; Population; Propensity score matching; Physical therapy; Confidence interval","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":[0.003669211,0.0007083156,0.001303984,0.000525649,0.0005406322,0.0015016,0.0008783785,0.001996058,0.002797645],"category_scores_gemma":[0.008989595,0.0006147047,0.002845559,0.001411637,0.0007259308,0.001067434,0.0006057586,0.00158879,0.0006579888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007668508,"about_ca_system_score_gemma":0.0007325034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003948453,"about_ca_topic_score_gemma":0.00283185,"domain_scores_codex":[0.9954579,0.002286714,0.0005770607,0.0007957239,0.0004763433,0.0004062416],"domain_scores_gemma":[0.9917195,0.00267207,0.003084854,0.001058272,0.0007800551,0.0006852211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.2922311,0.002118408,0.6790614,0.0008703455,0.01066859,0.0003559436,0.000291537,0.0004671893,0.003695289,0.0002075121,0.001449231,0.008583454],"study_design_scores_gemma":[0.02279595,0.02198645,0.943304,0.0001410401,0.00699879,0.0006032272,0.0004071303,0.001320058,0.0006384323,0.0002002199,0.001511753,0.00009284862],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961658,0.001151588,0.0002006333,0.00008330056,0.00005707479,0.00004704166,0.001832882,0.000006883999,0.0004548],"genre_scores_gemma":[0.9968159,0.0002675702,0.0001628211,0.0001456462,0.0001096325,0.00006586413,0.00211734,0.000006092816,0.0003092422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003948453,"threshold_uncertainty_score":0.01940489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08153348263112065,"score_gpt":0.3433704901917449,"score_spread":0.2618370075606242,"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."}}