Gavilán J, Gavilán C, Mañós-Pujol M, Herranz J
Department of Otorhinolaryngology, La Paz Hospital, Universidad Autonoma, Madrid, Spain.
Clin Otolaryngol Allied Sci. 1987 Oct;12(5):331-5. doi: 10.1111/j.1365-2273.1987.tb00212.x.
In order to assess the feasibility of computer-assisted prognostication, step-wise discriminant analysis was applied to data retrospectively obtained from 243 patients who underwent surgery for cancer of the larynx. In all, 62 variables were studied in each patient. Ninety-four out of 243 patients had complete information on the 62 variables studied. With data from these 94 patients a linear discriminant function was obtained, with an overall accuracy of 87.2%. The rate of correct prediction was 84.6% for cancer recurrence, and 88.2% for survival without recurrence. Only 11 variables of the 62 used for analysis were necessary to obtain these results. This paper confirms the usefulness of multivariate analysis in clinical practice.
为评估计算机辅助预后的可行性,对从243例接受喉癌手术的患者中回顾性获取的数据进行了逐步判别分析。每位患者共研究了62个变量。243例患者中有94例具备所研究的62个变量的完整信息。利用这94例患者的数据得到了一个线性判别函数,总体准确率为87.2%。癌症复发的正确预测率为84.6%,无复发存活的正确预测率为88.2%。为获得这些结果,分析所用的62个变量中仅11个变量是必要的。本文证实了多变量分析在临床实践中的有用性。