Importation and analysis of data from a multi-center randomized controlled clinical research on total knee arthroplasty based on REDCap system
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维普
万方数据
目的 以一项全膝关节置换术多中心随机对照临床研究为例,介绍利用REDCap(Research Electronic Data Capture)系统导入及分析数据的方法.方法 利用REDCap系统的多功能工具,包括数据导入工具、数据导出、报表与统计功能、项目仪表盘及编码手册等,处理和分析全膝关节置换术多中心随机对照临床研究数据.电子化的临床数据经过调整与标准化后,通过REDCap的数据导入工具批量上传至系统.使用REDCap的数据导出功能对数据进行初步整理,并借助其统计与报表功能进行描述性统计分析,以确保数据质量和完整性.结果 通过REDCap系统成功创建了膝骨关节炎临床研究的电子数据采集与管理平台.该平台能够实时采集来自多个中心的临床数据,并通过内置的数据管理和质量控制机制,确保数据的准确性和一致性.借助REDCap的统计分析功能,研究团队能够实时监测数据并进行质量评估和动态分析,为后续的深入统计分析提供了基础.结论 利用REDCap系统可以搭建全新的临床研究项目,开展中的临床研究也可利用其调整、导入和分析电子化数据,从而提高数据管理的科学性和研究效率.
Objective To introduce how to import and analyze data using the Research Electronic Data Capture(REDCap)system,taking a multi-center randomized controlled clinical research of total knee arthroplasty as an example.Methods Various tools within the REDCap system,including data import tools,data export functions,reports and statistics,project dashboards,and coding manuals,were used to systematically process and analyze the multi-center randomized controlled clinical trial data for total knee arthroplasty.Initially,electronically collected clinical data were adjusted and standardized,then uploaded in bulk to the system using the REDCap data import tool.Subsequently,the data were organized through REDCap's data export feature,and basic descriptive statistical analysis was performed using its reporting and statistical functions to ensure data quality and completeness.Results An electronic data collection and management platform for clinical research on knee osteoarthritis wase successfully created by the REDCap system.The platform enabled real-time data collection from multiple centers,and ensured data accuracy and consistency through built-in data management and quality control mechanisms.With the statistical analysis features of REDCap,the research team could monitor the progress of data in real time,conduct effective quality assessments,and perform dynamic analysis for further in-depth statistical evaluations.Conclusion The REDCap system can be used not only to build a new clinical research project,but also to import and analyze data that has been previously digitized of ongoing clinical researches into the system,which improved the scientificity of data management and research efficiency.
REDCapclinical researchdatabaseelectronic data capturetotal knee arthroplasty
维普
万方数据
