Embedding Patient Input in Outcome Measures for Long-Term Disease-Modifying Parkinson Disease Trials

MOVEMENT DISORDERS(2024)

引用 0|浏览10
暂无评分
摘要
BackgroundClinical trials of disease-modifying therapies in PD require valid and responsive primary outcome measures that are relevant to patients.ObjectivesThe objective is to select a patient-centered primary outcome measure for disease-modification trials over three or more years.MethodsExperts in Parkinson's disease (PD), statistics, and health economics and patient and public involvement and engagement (PPIE) representatives reviewed and discussed potential outcome measures. A larger PPIE group provided input on their key considerations for such an endpoint. Feasibility, clinimetric properties, and relevance to patients were assessed and synthesized.ResultsAlthough initial considerations favored the Movement Disorder Society-sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS) Part III in Off, feasibility, PPIE input, and clinimetric properties supported the MDS-UPDRS Part II. However, PPIE input also highlighted the importance of nonmotor symptoms, especially in the longer term, leading to the selection of the MDS-UPDRS Parts I + II sum score.ConclusionsThe MDS-UPDRS Parts I + II sum score was chosen as the primary outcome for large 3-year disease-modification trials. (c) 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society. Primary endpoints in long-term clinical trials of disease-modifying therapies in Parkinson's disease (PD) must capture features relevant to participants, and predominant as the condition progresses. Potential measures were reviewed by experts and people with PD and care partners, selecting MDS-UPDRS Parts I + II sum score as a primary outcome for large 3-year disease-modification trials.image
更多
查看译文
关键词
clinical trials,disease modification,endpoints,outcome measures,Parkinson disease,Patient and Public Involvement and Engagament (PPIE)
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要