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作 者:王博 周欣[1] 孙晶[1] 赵鎏丹 孙锟[1] WANG Bo;ZHOU Xin;SUN Jing;ZHAO Liudan;SUN Kun(Department of Pediatric Heart Center,Xinhua Hospital,Shanghai Jiao Tong University School of Medicine,Shanghai 200092,China)
机构地区:[1]上海交通大学医学院附属新华医院儿心脏中心,上海200092
出 处:《临床儿科杂志》2024年第2期171-176,共6页Journal of Clinical Pediatrics
摘 要:由于儿童的生长发育特点,儿童疾病的诊断治疗与成人存在相当差异,亟待建立一系列符合儿童疾病与人群特征的诊治指南。但大多数儿童疾病发病率较低,单中心临床研究无法形成有效的证据支持。数字化研究网络是由多家医学机构、专病研究网络以及数据合作平台共同组成的互联互享的研究平台,可以募集足够的样本量,高效地开展儿科临床研究,帮助更好地理解儿童疾病,促进诊疗方案的改进。本文主要从基于儿科研究网络的临床研究及关键技术进行综述,讨论现存的问题及后续的发展思路,以期为后续儿科研究网络的建设发展提供借鉴,进一步提升我国儿科的临床研究水平。Due to the characteristics of children's growth and development,the diagnosis and treatment of pediatric diseases differ significantly from those of adults,and there is an urgent need to develop a series of diagnostic and treatment guidelines that are appropriate for pediatric diseases and populations.However,the prevalence of most childhood disorders is low,and single-center clinical investigations cannot provide sufficient empirical support.Big data research networks are interconnected research platforms made up of multiple medical institutions,disease-specific research networks,and data collaboration platforms.They can collect a large enough sample size to efficiently conduct pediatric clinical research,better understand pediatric diseases,and improve diagnostic and treatment protocols.This article reviews the clinical research and key technologies based on the pediatric research network,discusses the existing problems,and proposes future development ideas,in order to provide reference for the subsequent construction and development of the pediatric research network,and further enhance the level of pediatric clinical research in China.
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