Essential elements for guiding patient segmentation in precision pharmacotherapy for rheumatoid arthritis: lessons up to 2025

医学 重症监护医学 药物治疗 背景(考古学) 类风湿性关节炎 不利影响 药方 梅德林 精密医学 手法治疗 叙述性评论 脊柱推拿 物理疗法 药物警戒 抗风湿药 相伴的 患者安全 临床试验 药品 医学物理学 共病 临床实习 风险评估 个性化医疗 系统回顾 数据提取 药物开发 联合疗法
作者
Koshiro Sonomoto,Yoshiya Tanaka
出处
期刊:Expert Opinion on Pharmacotherapy [Taylor & Francis]
卷期号:27 (8): 641-655
标识
DOI:10.1080/14656566.2026.2671878
摘要

INTRODUCTION: Biological and targeted synthetic disease-modifying antirheumatic drugs (b/tsDMARDs) have transformed rheumatoid arthritis (RA) management; however, individualizing treatment, balancing efficacy and safety remains challenging. AREAS COVERED: This narrative review summarized evidence guiding b/tsDMARD selection based on a literature search conducted in PubMed. First, we outlined efficacy-driven factors, including concomitant csDMARD use, serological markers, and C-reactive protein/interleukin-6-related pathways, that may support selecting particular mechanisms of action. Second, we discussed safety-oriented prescriptions in the context of heart failure, demyelinating disease, infection, malignancy. Third, we addressed organ-specific comorbidities, including interstitial lung disease, cardiovascular disease, osteoporosis and renal impairment. These comorbidities require proactive management and appropriate control of RA activity. We reviewed emerging evidence on difficult-to-treat RA, including registry findings suggesting beneficial therapies for patients with multi-drug refractory synovitis. EXPERT OPINION: Precision pharmacotherapy in RA requires cautious interpretation of complex 'precision medicine' studies, with close attention to study populations, reproducibility. We believe optimal care combines treat-to-target principles, structured safety screening, and shared decision-making. This approach uses comorbidity-based risk stratification to define safe options and then chooses among them based on expected efficacy. Long-term registry experience indicates that such a balanced strategy can reduce adverse events while maintaining high drug retention and remission rates.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
guoguo发布了新的文献求助30
1秒前
傻子完成签到,获得积分10
2秒前
想发财发布了新的文献求助10
4秒前
5秒前
上官若男应助shenjuan1674采纳,获得10
6秒前
wcx完成签到,获得积分10
10秒前
踏实水池发布了新的文献求助10
12秒前
Wei完成签到,获得积分10
12秒前
陶醉的小笼包完成签到,获得积分10
14秒前
dde应助科研通管家采纳,获得10
15秒前
今后应助科研通管家采纳,获得10
15秒前
15秒前
dde应助科研通管家采纳,获得10
16秒前
dde应助科研通管家采纳,获得10
16秒前
研友_VZG7GZ应助科研通管家采纳,获得20
16秒前
dde应助科研通管家采纳,获得10
16秒前
JamesPei应助科研通管家采纳,获得10
16秒前
16秒前
lixinglei应助科研通管家采纳,获得20
17秒前
今后应助科研通管家采纳,获得10
17秒前
17秒前
Lucas应助科研通管家采纳,获得10
17秒前
wanci应助Bonaventure采纳,获得30
18秒前
乐乐应助无情的千山采纳,获得10
18秒前
19秒前
牧羊少年完成签到,获得积分10
20秒前
20秒前
kk发布了新的文献求助10
21秒前
23秒前
ding应助芍药采纳,获得10
25秒前
朝颜发布了新的文献求助10
25秒前
26秒前
帅b发布了新的文献求助10
26秒前
jiumi完成签到,获得积分10
26秒前
202583080239完成签到,获得积分10
28秒前
guoguo完成签到,获得积分20
29秒前
Cecilia23完成签到,获得积分10
30秒前
30秒前
搜集达人应助迅速的鹤采纳,获得10
32秒前
33秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
Variations: A More Diverse Picture of Contemporary Art 400
Induction Heating and Heat Treatment (ASM Handbook, Volume 4C) 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7589786
求助须知:如何正确求助?哪些是违规求助? 9167364
关于积分的说明 19621841
捐赠科研通 7169206
什么是DOI,文献DOI怎么找? 3267130
关于科研通互助平台的介绍 2432050
邀请新用户注册赠送积分活动 2259348