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十年的样本重新分析:失败、调查及影响

A decade of incurred sample reanalysis: failures, investigations and impact.

作者信息

Lee Lisa B, Wickremsinhe Enaksha R

机构信息

Lilly Research Laboratories, Eli Lilly & Company, Lilly Corporate Center Indianapolis, IN 46285, USA.

出版信息

Bioanalysis. 2018 Nov 1;10(21):1767-1772. doi: 10.4155/bio-2018-0214. Epub 2018 Oct 10.

Abstract

Incurred sample reanalysis (ISR) is used to ensure the validity and reliability of bioanalytical data. Additionally, ISR results also help identify issues that could influence or bias the data. Overall, based on a decade of experimental data generated at Eli Lilly and Company, ISR failures are few with less than 5% of ISR samples failing to meet acceptance criteria. In a majority of situations, the cause for ISR failures has been 'human-error.' However, there are examples where ISR has helped identify issues related to the stability of the analyte or the ruggedness of the method. As a strategy, it is beneficial to conduct ISR following the completion of a few sample runs, so any potential issues impacting the validity and reliability of the data can be identified and rectified early.

摘要

进行样本再分析(ISR)是为了确保生物分析数据的有效性和可靠性。此外,ISR结果还有助于识别可能影响数据或导致数据偏差的问题。总体而言,根据礼来公司十年来产生的实验数据,ISR失败情况很少,不到5%的ISR样本未达到验收标准。在大多数情况下,ISR失败的原因是“人为错误”。然而,也有一些例子表明,ISR有助于识别与分析物稳定性或方法耐用性相关的问题。作为一种策略,在完成几次样本运行后进行ISR是有益的,这样可以尽早识别并纠正任何影响数据有效性和可靠性的潜在问题。

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