Schmitz-Moormann P, Pohl C, Himmelmann G W, Neumann K
J Cancer Res Clin Oncol. 1986;112(2):156-64. doi: 10.1007/BF00404400.
In 76 curative resected advanced gastric carcinomas, the relationships between macro- and microscopy of the carcinoma and the survival rate were studied by univariate and multivariate survival analyses. In the Kaplan-Meier survival analysis (product limit estimator), significant influence on survival rate was found for tumor size, Laurén type, number of lymphocytes, tumor fibrosis, and N stage. In the multivariate survival analysis of covariates according to the Cox regression model, in macroscopically evaluable variables the tumor size was effective, in bioptically evaluable variables the number of plasma cells and the histological type. Concerning the primary tumor, the same set of variables presents significant correlations to survival time. Adding the involvement of lymph nodes, Laurén type, and N stage express all significant correlations of the tumor to survival rate. In parametric multivariate stepwise regression analyses of survival time, all variables working in the Cox proportional hazard model were very ineffective. But adaption of the Kaplan-Meier test to the effective variables of multivariate survival analysis elucidates the tight relationships between survival rate and these variables. No distinct relationships are present between variables of primary tumor and presence of lymph nodes metastases or N stage respectively.
在76例接受根治性切除的进展期胃癌患者中,通过单因素和多因素生存分析研究了癌的大体和显微镜下特征与生存率之间的关系。在Kaplan-Meier生存分析(乘积限估计法)中,发现肿瘤大小、Laurén分型、淋巴细胞数量、肿瘤纤维化和N分期对生存率有显著影响。在根据Cox回归模型进行的协变量多因素生存分析中,在可进行大体评估的变量中肿瘤大小具有统计学意义,在可进行活检评估的变量中浆细胞数量和组织学类型具有统计学意义。关于原发性肿瘤,同一组变量与生存时间存在显著相关性。加上淋巴结受累情况、Laurén分型和N分期,则体现了肿瘤与生存率的所有显著相关性。在生存时间的参数多因素逐步回归分析中,所有在Cox比例风险模型中起作用的变量效果都很差。但将Kaplan-Meier检验应用于多因素生存分析的有效变量,阐明了生存率与这些变量之间的紧密关系。原发性肿瘤的变量与淋巴结转移的存在或N分期之间分别不存在明显关系。