{"id":"W2949577349","doi":"10.1136/annrheumdis-2019-eular.2136","title":"THU0118 TREATMENT OF RHEUMATOID ARTHRITIS WITH COMBINATION THERAPY USING A BIOLOGIC AGENT AND METHOTREXATE LOWERS THE RISK OF DECREASING KIDNEY FUNCTION COMPARED TO METHOTREXATE MONOTHERAPY","year":2019,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Rheumatoid Arthritis Research and Therapies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; Pfizer Japan; AbbVie Canada; Astellas Foundation for Research on Metabolic Disorders; Chugai Pharmaceutical; Mitsubishi Tanabe Pharma Corporation; Bristol-Myers Squibb; AstraZeneca; Teijin Pharma; Pfizer; Japan Blood Products Organization; Ono Pharmaceutical","keywords":"Medicine; Renal function; Internal medicine; Rheumatoid arthritis; Methotrexate; Kidney disease; Prednisolone; Dyslipidemia; Body mass index; Combination therapy; Disease","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006880042,0.0003526312,0.001340548,0.0004330437,0.0002627446,0.00060608,0.000470151,0.000768732,0.01189281],"category_scores_gemma":[0.001235265,0.0002207924,0.0008195618,0.0003962287,0.0002442156,0.0003469139,0.0002467106,0.001408193,0.001616329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002548586,"about_ca_system_score_gemma":0.0005653005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006949271,"about_ca_topic_score_gemma":0.00181611,"domain_scores_codex":[0.999293,0.0003666108,0.00004290288,0.00006996575,0.000147731,0.00007988329],"domain_scores_gemma":[0.9992071,0.0002532881,0.0002481471,0.0000516409,0.00006049294,0.0001793649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.1768842,0.007959051,0.01942121,0.002239442,0.002421823,0.0006756469,0.0001142627,0.0006631487,0.08820724,0.0008871439,0.01492092,0.685606],"study_design_scores_gemma":[0.08473893,0.4819612,0.2517503,0.001579489,0.005657624,0.01237714,0.0003920792,0.008744,0.05149904,0.001958238,0.09909287,0.0002491639],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9111829,0.05533801,0.002520415,0.002565525,0.001522513,0.0003125365,0.0008527809,0.0004833843,0.02522182],"genre_scores_gemma":[0.9810106,0.006055678,0.002716932,0.0005313113,0.0004831777,0.00007947738,0.0006484445,0.00003726778,0.008437026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01189281,"threshold_uncertainty_score":0.03978544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0503432257528172,"score_gpt":0.3181175293198915,"score_spread":0.2677743035670743,"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."}}