ヤマナカ　ヒサシ   Yamanaka Hisashi   山中　寿    所属   医学部 医学科（東京女子医科大学病院）    職種   客員教授
論文種別	原著
言語種別	英語
査読の有無	査読あり
表題	Drug Treatment Algorithm and Recommendations from the 2020 update of the Japan College of Rheumatology Clinical Practice Guidelines for the Management of Rheumatoid Arthritis-Secondary Publication.
掲載誌名	正式名：Modern rheumatology 略　 称：Mod Rheumatol ISSNコード：14397609/14397595
掲載区分	国外
巻・号・頁	pp.-
著者・共著者	Kawahito Yutaka, Morinobu Akio, Kaneko Yuko, Kohno Masataka, Hirata Shintaro, Kishimoto Mitsumasa, Seto Yohei, Sugihara Takahiko, Tanaka Eiichi, Ito Hiromu, Kojima Toshihisa, Matsushita Isao, Nishida Keiichiro, Mori Masaaki, Murashima Atsuko, Yamanaka Hisashi, Nakayama Takeo, Kojima Masayo, Harigai Masayoshi
発行年月	2022/03
概要	OBJECTIVE:The aim of this study was to update the Japan College of Rheumatology (JCR) clinical practice guidelines (CPG) for the management of rheumatoid arthritis (RA) (JCR CPG for RA) according to recent changes in the medical environment in Japan. This article is a digest version of the guidance.METHODS:We used the Grading of Recommendations, Assessment, Development, and Evaluation method to update the 2014 JCR CPG for RA. A consensus was formed by CPG panel members.RESULTS:We identified 36 important clinical questions regarding drug treatment and developed corresponding recommendations for RA. The recommendations included the following RA medications: non-steroidal anti-inflammatory drugs, corticosteroids, conventional synthetic disease-modifying antirheumatic drugs, biological disease-modifying antirheumatic drugs, anti-RANKL antibodies, and JAK inhibitors, as well as the tapering and discontinuation of these medications. Recommendations regarding the efficacy and safety of treatments in the elderly and patients with comorbidities were also developed. Finally, we used these recommendations to create an original algorithm for drug treatment for RA based on the Treat-to-Target approach.CONCLUSION:The 2020 JCR CPG for RA provides a useful tool for rheumatologists, health care professionals, and patients with RA, enabling shared decision making in a variety of clinical situations.
DOI	10.1093/mr/roac017
PMID	35297492