Perich Carmen, Minchinela Joana, Ricós Carmen, Fernández-Calle Pilar, Alvarez Virtudes, Doménech María Vicenta, Simón Margarita, Biosca Carmen, Boned Beatriz, García-Lario José Vicente, Cava Fernando, Fernández-Fernández Pilar, Fraser Callum G
Clin Chem Lab Med. 2015 Feb;53(2):299-305. doi: 10.1515/cclm-2014-0739.
Numerical data on the components of biological variation (BV) have many uses in laboratory medicine, including in the setting of analytical quality specifications, generation of reference change values and assessment of the utility of conventional reference values.
Generation of a series of up-to-date comprehensive database of components of BV was initiated in 1997, integrating the more relevant information found in publications concerning BV. A scoring system was designed to evaluate the robustness of the data included. The database has been updated every 2 years, made available on the Internet and derived analytical quality specifications for imprecision, bias and total allowable error included in the tabulation of data.
Our aim here is to document, in detail, the methodology we used to evaluate the reliability of the included data compiled from the published literature. To date, our approach has not been explicitly documented, although the principles have been presented at many symposia, courses and conferences.
生物变异(BV)组分的数值数据在检验医学中有多种用途,包括设定分析质量规范、生成参考变化值以及评估传统参考值的效用。
1997年开始建立一系列最新的BV组分综合数据库,整合出版物中有关BV的更相关信息。设计了一个评分系统来评估所包含数据的稳健性。该数据库每两年更新一次,在互联网上发布,并在数据列表中给出了不精密度、偏倚和总允许误差的导出分析质量规范。
我们在此的目的是详细记录我们用于评估从已发表文献中汇编的所包含数据可靠性的方法。迄今为止,尽管这些原则已在许多研讨会、课程和会议上介绍过,但我们的方法尚未得到明确记录。