Zaĭtsev S G, Kalinin V V, Golikova T I
Zh Nevropatol Psikhiatr Im S S Korsakova. 1986;86(1):91-7.
Validity of a multidimensional statistics procedure for the prediction of the psychotropic drugs efficacy (PDE) was tested in a study on 60 schizophrenics showing the signs of an acute condition before treatment. Pretreatment ratings of 78 psychopathological symptoms underwent a computer analysis. A multiple stepwise regression equation was obtained which predicted PDE using ratings of 15 symptoms. A high correlation between the predicted and actual PDE was shown at cross-validation (r = +0.87), as well as a higher proportion of the PDE variance explained by the "regression" predictor rather than traditional "syndromal" one or the former's combination with the diagnosed type of the course (42%, 57.4% and 71.9%, respectively). Some methodological problems (homogeneity of patients and treatment conditions, the adequacy of the mathematical model applied) are discussed.
在一项针对60名治疗前表现出急性症状的精神分裂症患者的研究中，测试了一种用于预测精神药物疗效（PDE）的多维统计程序的有效性。对78种精神病理症状的治疗前评分进行了计算机分析。获得了一个多元逐步回归方程，该方程使用15种症状的评分来预测PDE。交叉验证显示预测的PDE与实际的PDE之间具有高度相关性（r = +0.87），并且由“回归”预测因子解释的PDE方差比例高于传统的“综合征”预测因子或前者与诊断出的病程类型的组合（分别为42%、57.4%和71.9%）。讨论了一些方法学问题（患者和治疗条件的同质性、所应用数学模型的充分性）。
