@article{
author = "Van Schrojenstein Lantman, Marith and Çubukçu, Hikmet Can and Boursier, Guilaine and Panteghini, Mauro and Bernabeu-Andreu, Francisco and Milinković, Neda and Mesko Brguljan, Pika and Linko, Solveig and Brugnoni, Duilio and O'Kelly, Ruth and Kroupis, Christos and Lohmander, Maria and Šprongl, Luděk and Vanstapel, Florent and Thelen, Marc",
year = "2022",
abstract = "Clinicians trust medical laboratories to provide reliable results on which they rely for clinical decisions. Lab- oratories fulfil their responsibility for accurate and consistent results by utilizing an arsenal of approaches, ranging from validation and verification experiments to daily quality control procedures. All these procedures verify, on different moments, that the results of a certain examination procedure have analytical performance characteristics (APC) that meet analytical performance specifications (APS) set for a particular intended use. The APC can in part be determined by esti- mating the measurement uncertainty component under con- ditions of within-laboratory precision (uRw), which comprises all components influencing the measurement uncertainty of random sources. To maintain the adequacy of their mea- surement procedures, laboratories need to distinguish aspects that are manageable vs. those that are not. One of the aspects that may influence uRw is the momentary significant bias caused by shifts in reagent and/or calibrator lots, which, when accepted or unnoticed, become a factor of the APC. In this paper, we postulate a model for allocating a part of allowable uRw to between-reagent lot variation, based on the need for long-term consistency of the measurement variability for that specific measurand. The allocation manages the ratio between short-term and long-term variation and indicates laboratories when to reject or correct certain variations due to reagent lots.",
publisher = "De Gruyter Open Ltd",
journal = "Clinical Chemistry and Laboratory Medicine",
title = "An approach for determining allowable between reagent lot variation",
volume = "60",
number = "5",
pages = "681-688",
doi = "10.1515/cclm-2022-0083"
}