Dickinson David M, Dykstra Dawn M, Levine Gregory N, Li Shiqian, Welch James C, Webb Randall L
Scientific Registry of Transplant Recipients, University Renal Research and Education Association, Ann Arbor, MI, USA.
Am J Transplant. 2005 Apr;5(4 Pt 2):850-61. doi: 10.1111/j.1600-6135.2005.00840.x.
The process of collecting and analyzing transplant data is complex. Familiarity with how these data are collected is crucial to a thorough understanding of the information. This article focuses on available OPTN-SRTR data and the continuing evolution of data collection mechanisms; how that data collection system is improving the data quality and reducing the data collection burden; how additional ascertainment of outcomes both completes and validates existing data; and caveats that remain for researchers. This year's article focuses further on research considerations related to cohort choice, timing of data submission, and potential biases in follow-up data. Ongoing improvements in data collection timeliness and scope are covered. The impact of extra ascertainment of outcomes, particularly for post-transplant kidney graft failure from Medicare data, are also examined. A section on graft failure reporting among different sources traces the steps by which the SRTR reconciles different data sources in its analyses. It is important that those reading and conducting transplant research understand the origin, structure, and scope of the available data. All of these issues should be carefully considered when choosing cohorts and data sources for analysis.
收集和分析移植数据的过程很复杂。熟悉这些数据的收集方式对于全面理解相关信息至关重要。本文重点关注器官获取与移植网络(OPTN)-器官移植受者科学注册系统(SRTR)的现有数据以及数据收集机制的持续演变;该数据收集系统如何提高数据质量并减轻数据收集负担;额外的结局确定如何完善和验证现有数据;以及研究人员仍需注意的事项。今年的文章进一步聚焦于与队列选择、数据提交时间以及随访数据潜在偏差相关的研究考量。文中涵盖了数据收集及时性和范围方面的持续改进情况。还研究了额外结局确定的影响,特别是对来自医疗保险数据的移植后肾移植失败情况的影响。关于不同来源之间移植失败报告的一节追溯了SRTR在分析中协调不同数据源的步骤。阅读和开展移植研究的人员了解可用数据的来源、结构和范围非常重要。在选择分析队列和数据源时,所有这些问题都应仔细考虑。