Cost-Effective Approach to Managing Laboratory Reference Ranges for Local Laboratories in Clinical Research

V. Tantsyura, Imogene Grimes, J. Mitchel, Sergiy Sirichenko, Jim Crowe, D. Viola
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Abstract

The use of a single central laboratory with universal references ranges is not always a viable option in clinical studies; examples are oncology studies where a rapid turnaround of clinical laboratory results is critical. However, the complexities associated with multiple sites, multiple laboratories, and multiple age and sex groups can lead to logistical nightmares across clinical trials and make handling laboratory data one of the most challenging, labor-intensive, and time-consuming tasks for clinical data managers, especially where different laboratories are used for the same patient. Also, evidence suggests that the reference ranges (RRs) used by the local laboratories often create a false sense of precision that is not always supported by science. Managing time-specific, demographic-specific, and site-specific RRs requires significant investment in time and labor. As a result, an alternative approach to management of local laboratory RRs that uses “standard” (sometimes called “published”) ranges has been growing in popularity over the past several years. This article attempts to compare the pros and cons of this approach relative to the historic ways of handling local laboratory RRs. Scientific, operational, and economic perspectives are also presented.
管理本地实验室临床研究参考范围的成本效益方法
在临床研究中,使用具有通用参考范围的单一中心实验室并不总是可行的选择;例如肿瘤学研究,临床实验室结果的快速转变至关重要。然而,与多个地点、多个实验室以及多个年龄和性别群体相关的复杂性可能导致整个临床试验的后勤噩梦,并使处理实验室数据成为临床数据管理人员最具挑战性、劳动密集型和耗时的任务之一,特别是在不同实验室用于同一患者的情况下。此外,有证据表明,当地实验室使用的参考范围(RRs)经常造成一种不总是得到科学支持的错误的精确感觉。管理特定于时间、特定于人口统计和特定于地点的rr需要大量的时间和人力投资。因此,在过去几年中,使用“标准”(有时称为“公布”)范围管理本地实验室rrr的替代方法越来越受欢迎。本文试图比较这种方法与处理当地实验室rrr的历史方法的利弊。科学,操作和经济的观点也提出。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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