摘要
个体化是中医临床诊疗的突出特点和表现形式,由此带来的疗效评价难题长期限制中医优质证据的产生。立足于时空特征下个体诊疗信息的复杂性和动态性,借鉴系统科学时空观的理论思想,分析中医个体诊疗数据特征,本文总结概括出长时程疗效评价理念,进而从临床评价的起始源头-临床问题要素(PICO)的构建入手,在长时程视角下引入动态评价要素,探索构建中医个体化疗效评价方法,为后续中医个体化临床研究的设计和实施提供示范和参考。
The prominent feature and form of clinical diagnosis and treatment of traditional Chinese medicine is individualization,which has generated difficulty for clinical evaluation and has restricted the production of high-level evidence for traditional Chinese medicine for a long time.Based on the complexity and dynamics of individualized information under the characteristics of time and space,this paper references the theory of space-time of system science to analyze the individualized data of diagnosis and treatment of traditional Chinese medicine and summarizes the concept of the long time course for clinical evaluation.Based on the concept of the long time course,this paper starts with the origin of clinical evaluation,which is the construction of clinical problem elements named PICO,introduces dynamic evaluation factors,explores the construction of individualized dynamic evaluation method of traditional Chinese medicine,and provides demonstration and examples for the design and implementation of individualized clinical research in future.
作者
石兆峰
赵晨
胡嘉元
蒋寅
张晓雨
孙杨
商洪才
SHI Zhaofeng;ZHAO Chen;HU Jiayuan;JIANG Yin;ZHANG Xiaoyu;SUN Yang;SHANG Hongcai(Dongzhimen Hospital,Beijing University of Chinese Medicine,Beijing 100700,P.R.China;Institute of Basic Research in Clinical Medicine,China Academy of Chinese Medical Sciences,Beijing 100700,P.R.China;Beijing Hospital of Traditional Chinese Medicine,Capital Medical University,Beijing 100010,P.R.China;International Evidence-based Research Institute of Chinese Medicine,Beijing University of Chinese Medicine,Beijing 100029,P.R.China)
出处
《中国循证医学杂志》
CSCD
北大核心
2020年第12期1373-1378,共6页
Chinese Journal of Evidence-based Medicine
基金
国家杰出青年科学基金项目(编号:81725024)。
关键词
中医药
辨证论治
个体化
长时程
疗效评价
Traditional Chinese medicine
Syndrome differentiation and treatment
Individualization
Long time course
Efficacy evaluation
