偏见,未完成的交响曲。

IF 3.8 3区 医学 Q1 MEDICAL LABORATORY TECHNOLOGY Biochemia Medica Pub Date : 2022-10-01 DOI:10.11613/BM.2022.030402
Abdurrahman Coşkun
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引用次数: 2

摘要

在检验医学中,经常使用数学方程来计算各种参数,包括偏差、不精度、测量不确定度、西格玛度量(SM)、肌酐清除率、ldl -胆固醇浓度等。数学方程有严格的限制,不能在所有情况下使用,也不能被操纵。最近,在《生物化学医学》上发表了一篇题为《Sigma度量计算的偏倚估计:算术均值与二次均值》的论文。在本文中,作者批评了取多个偏差的算术平均值来获得单个偏差的方法,并提出了一种利用外部质量保证服务(EQAS)数据来估计SM计算总体偏差的二次方法。这种方法不符合目的,应该注意的是,在计算中使用正确的方程与在分析物的测量中使用正确的试剂同样重要,因此在使用方程之前,应检查和确认其适用性。
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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Bias, the unfinished symphony.

In laboratory medicine, mathematical equations are frequently used to calculate various parameters including bias, imprecision, measurement uncertainty, sigma metric (SM), creatinine clearance, LDL-cholesterol concentration, etc. Mathematical equations have strict limitations and cannot be used in all situations and are not open to manipulations. Recently, a paper "Bias estimation for Sigma metric calculation: Arithmetic mean versus quadratic mean" was published in Biochemia Medica. In the paper, the author criticized the approach of taking the arithmetic mean of the multiple biases to obtain a single bias and proposed a quadratic method to estimate the overall bias using external quality assurance services (EQAS) data for SM calculation. This approach does not fit the purpose and it should be noted that using the correct equation in calculations is as important as using the correct reagent in the measurement of the analytes, therefore before using an equation, its suitability should be checked and confirmed.

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来源期刊
Biochemia Medica
Biochemia Medica 医学-医学实验技术
CiteScore
5.50
自引率
3.00%
发文量
70
审稿时长
>12 weeks
期刊介绍: Biochemia Medica is the official peer-reviewed journal of the Croatian Society of Medical Biochemistry and Laboratory Medicine. Journal provides a wide coverage of research in all aspects of clinical chemistry and laboratory medicine. Following categories fit into the scope of the Journal: general clinical chemistry, haematology and haemostasis, molecular diagnostics and endocrinology. Development, validation and verification of analytical techniques and methods applicable to clinical chemistry and laboratory medicine are welcome as well as studies dealing with laboratory organization, automation and quality control. Journal publishes on a regular basis educative preanalytical case reports (Preanalytical mysteries), articles dealing with applied biostatistics (Lessons in biostatistics) and research integrity (Research integrity corner).
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