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Perspective: Laboratory Considerations and Clinical Data Management for Human Nutrition Randomized Controlled Trials: Guidance for Ensuring Quality and Integrity

机译:观点:用于人类营养随机对照试验的实验室考虑和临床数据管理:确保质量和完整性的指导

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摘要

In human nutrition randomized controlled trials (RCTs), planning, and careful execution of clinical data collection and management are vital for producing valid and reliable results. In this article, we provide an overview of best practices for biospecimen collection and analyses, and for the fundamentals of clinical data management, including preparation and study startup; data collection, entry, cleaning, and authentication; and database lock. The reader is also referred to additional resources for information to assist in the planning and conduct of human RCTs. The tools and strategies described are expected to improve the quality of data produced in human nutrition research that can, therefore, be used to support food and nutrition policies.
机译:在人类营养随机对照试验(RCT),规划和仔细执行临床数据收集和管理对于产生有效和可靠的结果至关重要。在本文中,我们概述了Biopecimen收集和分析的最佳实践,以及临床数据管理的基础,包括准备和研究启动;数据收集,入口,清洁和认证;和数据库锁定。读者还提及额外的资源,以便有助于协助人类RCT的规划和行为。所描述的工具和策略预计将提高人类营养研究中产生的数据质量,因此可以用于支持食物和营养政策。

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