Decision-making and challenges within the evolving treatment algorithm in spinal muscular atrophy: a clinical perspective

脊髓性肌萎缩 透视图(图形) 物理医学与康复 算法 医学 计算机科学 心理学 人工智能 形状记忆合金*
作者
Lakshmi Balaji,Michelle A. Farrar,Arlene D’Silva,Didu Kariyawasam
出处
期刊:Expert Review of Neurotherapeutics [Informa]
卷期号:23 (7): 571-586 被引量:5
标识
DOI:10.1080/14737175.2023.2218549
摘要

Introduction The clinical application of disease modifying therapies has dramatically changed the paradigm of the management of people with spinal muscular atrophy (SMA), from sole reliance on symptomatic care directed toward the downstream consequences of muscle weakness, to proactive intervention and even preventative care.Areas covered In this perspective, the authors evaluate the contemporary therapeutic landscape of SMA and discuss the evolution of novel phenotypes and the treatment algorithm, including the key factors that define individual treatment choice and treatment response. The benefits achieved by early diagnosis and treatment through newborn screening are highlighted, alongside an appraisal of emerging prognostic methods and classification frameworks to inform clinicians, patients, and families about disease course, manage expectations, and improve care planning. A future perspective of unmet needs and challenges is provided, emphasizing the key role of research.Expert opinion SMN-augmenting therapies have improved health outcomes for people with SMA and powered the practice of personalized medicine. Within this new proactive diagnostic and treatment paradigm, new phenotypes and different disease trajectories are emerging. Ongoing collaborative research efforts to understand the biology of SMA and define optimal response are critical to refining future approaches.

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
Orange应助Y不吃香菜采纳,获得10
刚刚
huopppp发布了新的文献求助10
1秒前
干净安露发布了新的文献求助10
2秒前
2秒前
gaoqg完成签到,获得积分10
3秒前
bkagyin应助Lorain采纳,获得10
3秒前
学术疯子发布了新的文献求助10
4秒前
李健的小迷弟应助小鹅采纳,获得10
5秒前
5秒前
Grinde发布了新的文献求助10
5秒前
OYY发布了新的文献求助10
6秒前
6秒前
7秒前
7秒前
8秒前
辣椒炒肉1完成签到,获得积分20
8秒前
music完成签到,获得积分10
8秒前
浪子完成签到,获得积分0
8秒前
8秒前
比比大王发布了新的文献求助10
9秒前
寒暑易节发布了新的文献求助10
10秒前
10秒前
辣椒炒肉1发布了新的文献求助10
11秒前
12秒前
12秒前
善学以致用应助婷糖采纳,获得10
12秒前
12秒前
12秒前
量子星尘发布了新的文献求助10
13秒前
量子星尘发布了新的文献求助10
13秒前
One发布了新的文献求助10
14秒前
cmfort完成签到,获得积分10
14秒前
传奇3应助涅槃采纳,获得10
15秒前
云康肖发布了新的文献求助20
15秒前
1234sxcv发布了新的文献求助10
16秒前
今后应助美美哒采纳,获得10
17秒前
17秒前
music发布了新的文献求助20
17秒前
剑舞红颜笑完成签到 ,获得积分10
19秒前
快快跑咯发布了新的文献求助10
19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
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Russian Foreign Policy: Change and Continuity 800
Real World Research, 5th Edition 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
Superabsorbent Polymers 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5709229
求助须知:如何正确求助?哪些是违规求助? 5193595
关于积分的说明 15256315
捐赠科研通 4862040
什么是DOI,文献DOI怎么找? 2609835
邀请新用户注册赠送积分活动 1560261
关于科研通互助平台的介绍 1517988