...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>BMC research notes >Development and use of a flexible data harmonization platform to facilitate the harmonization of individual patient data for meta-analyses
【24h】

Development and use of a flexible data harmonization platform to facilitate the harmonization of individual patient data for meta-analyses

机译：开发和使用灵活的数据协调平台，以促进个人患者数据的协调以进行荟萃分析

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Abstract ObjectiveHarmonizing individual patient data (IPD) for meta-analysis has clinical and statistical advantages. Harmonizing IPD from multiple studies may benefit from a flexible data harmonization platform (DHP) that allows harmonization of IPD already during data collection. This paper describes the development and use of a flexible DHP that was initially developed for the Predicting OptimaL cAncer RehabIlitation and Supportive care (POLARIS) study.ResultsThe DHP that we developed (I) allows IPD harmonization with a flexible approach, (II) has the ability to store data in a centralized and secured database server with large capacity, (III) is transparent and easy in use, and (IV) has the ability to export harmonized IPD and corresponding data dictionary to a statistical program. The DHP uses Microsoft Access as front-end application and requires a relational database management system such as Microsoft Structured Query Language (SQL) Server or MySQL as back-end application. The DHP consists of five user friendly interfaces which support the user to import original study data, to harmonize the data with a master data dictionary, and to export the harmonized data into a statistical software program of choice for further analyses. The DHP is now also adopted in two other studies.
机译：摘要目的统一个人患者数据（IPD）进行荟萃分析具有临床和统计学优势。可以通过灵活的数据协调平台（DHP）从多个研究中协调IPD，该平台可以在数据收集过程中就已经对IPD进行协调。本文介绍了灵活的DHP的开发和使用，该DHP最初是为预测最佳癌症康复和支持性护理（POLARIS）研究而开发的。结果我们开发的DHP（I）允许采用灵活的方法进行IPD协调，（II）具有具有将数据存储在具有大容量的集中式安全数据库服务器中的能力;（III）透明且易于使用;（IV）能够将统一的IPD和相应的数据字典导出到统计程序。 DHP使用Microsoft Access作为前端应用程序，并需要一个关系数据库管理系统（例如Microsoft结构化查询语言（SQL）Server或MySQL）作为后端应用程序。 DHP由五个用户友好的界面组成，这些界面支持用户导入原始研究数据，将数据与主数据字典进行协调，以及将协调后的数据导出到所选的统计软件程序中以进行进一步分析。现在，另外两项研究也采用了DHP。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号