对RE-JOIN研究联盟的临床和生物行为表型评估和数据协调:关于共同数据元素选择的建议
Yenisel Cruz-Almeida1, Bella Mehta2, Nele A Haelterman3
1Pain Research & Intervention Center of Excellence, University of Florida, FL, USA.
Neurobiology of pain (Cambridge, Mass.)
|September 16, 2024
概括
该RE-JOIN联盟标准化了慢性关节疼痛研究的数据收集,使得人们更好地了解疼痛神经生物学,并促进跨机构的合作研究.
科学领域:
- 神经科学是一个神经科学.
- 疼痛研究 疼痛研究
- 数据科学数据科学数据科学
背景情况:
- 恢复关节健康和功能以减少疼痛 (RE-JOIN) 联盟通过研究慢性关节疼痛来解决国家阿片类药物危机.
- 专注于了解疼痛介导神经元如何通过先进的神经科学激活膝盖和关节组织.
- 旨在阐明联盟内的人类数据,理由和标准化方法.
研究的目的:
- 定义慢性关节疼痛中介神经元对关节和周关节组织的内化.
- 为了阐明RE-JOIN联盟收集的人类数据.
- 建立数据协调和标准化的方法和协议.
主要方法:
- 建立了RE-JOIN对人类研究和临床前数据收集标准的最低协调数据元素.
- 开发了RE-JOIN最低人类数据标准,其中包含所需的领域和结果措施,包括HEAL共同数据元素 (CDEs) 和RE-JOIN CDEs (R-CDEs).
- 使用安全的基于云的数据存储库提交,共享和分析非识别数据集,可通过SPARC门户和HEAL数据生态系统访问.
主要成果:
- 一个多学科专家小组开发了一个标准化的人类研究数据收集协议.
- 该标准包括一般和关节特定的疼痛和功能测量,以及定量感官测试.
- 此外,还纳入了膝盖或关节研究的自由裁量,特定地点的措施.
结论:
- 数据协调和标准化使分散的研究团队能够进行有效的协作.
- 方便未来对联盟收集的数据进行高效的分析.
- 协调的表型信息增强了对人类疼痛神经生物学的理解,并帮助与临床前模型进行比较.
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