Gamel J W, Jones A S
Veterans Administration Medical Center, Louisville, Kentucky.
Br J Cancer. 1993 May;67(5):1071-5. doi: 10.1038/bjc.1993.196.
The multivariate lognormal survival model can be used to determine the relationship of prognostic covariates to two important parameters of malignancy. Cured fraction and median survival time among uncured patients. Analysis with this model revealed that cured fraction is primarily a function of histologic type and node status, while median survival time is primarily a function of age and node status. Patient sex was also related to likelihood of cure, but this association was of marginal significance. The symmetric impact of node status on both cured fraction and median survival time is consistent with known biologic principles. The strongly asymmetric relationships of histologic grade to cured fraction and age to survival time suggest, however, that likelihood of cure and survival time may not operate by identical biologic mechanisms.
多变量对数正态生存模型可用于确定预后协变量与恶性肿瘤两个重要参数之间的关系。治愈比例和未治愈患者的中位生存时间。使用该模型进行分析发现,治愈比例主要是组织学类型和淋巴结状态的函数,而中位生存时间主要是年龄和淋巴结状态的函数。患者性别也与治愈可能性相关,但这种关联的意义不大。淋巴结状态对治愈比例和中位生存时间的对称影响与已知的生物学原理一致。然而,组织学分级与治愈比例以及年龄与生存时间之间强烈的不对称关系表明,治愈可能性和生存时间可能并非通过相同的生物学机制起作用。