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放射免疫分析结果自动计算的观察

Observations on the automated calculation of radioimmunoassay results.

作者信息

Challand G S, Spencer C A, Ratcliffe J G

出版信息

Ann Clin Biochem. 1976 Mar;13(2):354-60. doi: 10.1177/000456327601300116.

Abstract

Radioimmunoassay standard curves derived by four different automated calculation methods are compared with those derived manually for five assays of clinical importance (thyroxine, triiodothyronine, thyrotrophin, alphafetoprotein, and human growth hormone). The three curve fitting methods (linear or cubic regression on log x versus logit y, cubic regression on log x versus y) produced considerable distortion of the manually derived curves, which in some cases could have impaired the accuracy of an estimate in a clinical sample and altered the clinical interpretation. Distortion patterns varied with the particular antigen assayed and with experimental conditions. In contrast, a simple linear interpolation method produced little distortion and gave results which were close to those derived manually in each assay examined.

摘要

将通过四种不同自动计算方法得出的放射免疫分析标准曲线,与针对五项具有临床重要性的检测(甲状腺素、三碘甲状腺原氨酸、促甲状腺激素、甲胎蛋白和人生长激素)手动得出的标准曲线进行比较。三种曲线拟合方法(log x对logit y的线性或三次回归、log x对y的三次回归)导致手动得出的曲线出现相当大的失真,在某些情况下,这可能会损害临床样本中估计值的准确性并改变临床解释。失真模式因所检测的特定抗原和实验条件而异。相比之下,一种简单的线性插值方法产生的失真很小,并且得出的结果与在所检查的每项检测中手动得出的结果接近。

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