title: Transplant data: sources, collection and research considerations, 2004.
abstract: 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.
authors.affiliation: Scientific Registry of Transplant Recipients, University Renal Research and Education Association, Ann Arbor, MI, USA. dickinsn@urrea.org
authors.forename: David M
authors.initials: DM
authors.lastname: Dickinson
authors.forename: Dawn M
authors.initials: DM
authors.lastname: Dykstra
authors.forename: Gregory N
authors.initials: GN
authors.lastname: Levine
authors.forename: Shiqian
authors.initials: S
authors.lastname: Li
authors.forename: James C
authors.initials: JC
authors.lastname: Welch
authors.forename: Randall L
authors.initials: RL
authors.lastname: Webb
mesh_terms: D006085:Graft Survival; D006801:Humans; D016377:Organ Transplantation / Q000706:statistics & numerical data*; D012106:Research; D013997:Time Factors; D009927:Tissue and Organ Procurement / Q000706:statistics & numerical data*