| Literature DB >> 25124547 |
Tomoki Yoneyama1, Takashi Kudo, Fumihiro Jinno, Eric R Schmidt, Takahiro Kondo.
Abstract
The purpose of this study is to conduct a retrospective data analysis for inter-laboratory cross-validation studies to set a reasonable and practical acceptance criterion based on a number of cross-validation results. From the results of cross-validation studies for 16 compounds and their metabolites, analytical bias and variation were evaluated. The accuracy of cross-validation samples was compared with that of quality control (QC) samples with statistical comparison of the analytical variation. An acceptance criterion was derived with a confidential interval approach. As the results, while a larger bias was observed for the cross-validation samples, the bias was not fully caused by analytical variation or bias attributable to the analytical methods. The direction of the deviation between the cross-validation samples and QC samples was random and not concentration-dependent, suggesting that inter-laboratory variability such as preparation errors could be a source of bias. A derived acceptance criterion corresponds to one prescribed in the Guideline on bioanalytical method validation from the Ministry of Health, Labour and Welfare in Japan and is a little wider than one in the European Medical Agency. In conclusion, thorough retrospective data analysis revealed potential causes of larger analytical bias in inter-laboratory cross-validation studies. A derived acceptance criterion would be practical and reasonable for the inter-laboratory cross-validation study.Mesh:
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Year: 2014 PMID: 25124547 PMCID: PMC4389744 DOI: 10.1208/s12248-014-9653-0
Source DB: PubMed Journal: AAPS J ISSN: 1550-7416 Impact factor: 4.009