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一项关于类风湿性关节炎的大型观察性队列研究,IORRA:为当今的治疗选择提供背景信息。

A large observational cohort study of rheumatoid arthritis, IORRA: Providing context for today's treatment options.

作者信息

Yamanaka Hisashi, Tanaka Eiichi, Nakajima Ayako, Furuya Takefumi, Ikari Katsunori, Taniguchi Atsuo, Inoue Eisuke, Harigai Masayoshi

机构信息

Institute of Rheumatology, Tokyo Women's Medical University, Tokyo, Japan.

Institute of Rheumatology, Sanno Medical Center, Tokyo, Japan.

出版信息

Mod Rheumatol. 2020 Jan;30(1):1-6. doi: 10.1080/14397595.2019.1660028. Epub 2019 Oct 1.

Abstract

Real-world evidence, based on real-world data from routine clinical treatment, is becoming increasingly important for providing high-quality medical care. Large-scale cohort studies can provide useful access to some of this real-world evidence, as shown by the IORRA (Institute of Rheumatology, Rheumatoid Arthritis) cohort in Japan. This large cohort study of patients with rheumatoid arthritis (RA) has been surveying enrolled participants since its inception in 2000. In the last 19 years, it has served as a database for a wide range of research in areas including transitions in medical care at the clinical level, changes in therapeutic drugs, approaches to comorbidities, developments in pharmacoeconomics, and the effects of genomic information on treatment options. This research has resulted in the publication of 133 articles in English to date. IORRA monitors changes in the management of RA, and has quantified over time the daily experience of clinicians who provide routine medical care. Such observational databases, which reflect the reality of daily clinical practice, will become increasingly important and may provide a model for similar research in other disease areas.

摘要

基于常规临床治疗的真实世界数据得出的真实世界证据,对于提供高质量医疗服务正变得越来越重要。大规模队列研究能够为获取部分此类真实世界证据提供有效途径,日本的IORRA(风湿病学会,类风湿关节炎)队列研究便证明了这一点。这项针对类风湿关节炎(RA)患者的大型队列研究自2000年启动以来,一直在对入组参与者进行调查。在过去的19年里,它已成为一个数据库,用于临床层面医疗护理转变、治疗药物变化、合并症处理方法、药物经济学发展以及基因组信息对治疗选择的影响等广泛领域的研究。截至目前,这项研究已发表了133篇英文文章。IORRA监测RA管理方面的变化,并随时间推移对提供常规医疗护理的临床医生的日常经验进行了量化。这类反映日常临床实践现实的观察性数据库将变得越来越重要,并可能为其他疾病领域的类似研究提供一个范例。

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