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作者采用Cox模型分析了1980～1984年中山医科大学肿瘤医院手术治疗的子宫颈癌179例的预后因素。根据文献及我院经验,按临床分期、病理诊断、淋巴结转移及转移数目制订出预后评分标准。用Cox模型对年龄、职业、症状一就诊时间,大体类型,肿瘤大小,血色素,手术种类及预后分数等八个变量进行单因素和多因素分析。结果发现:预后分数是具有非常显著意义的因素(P<0.001),年龄是具有显著意义的因素(P<0.05)。上述预后评分标准有助于对预后作较全面和准确的估计,对术后处理及随访有指导意义。
The authors used Cox model to analyze the prognostic factors of 179 cases of cervical cancer treated by Cancer Hospital of Sun Yat-sen University from 1980 to 1984. According to the literature and the experience of our hospital, according to the clinical stage, pathological diagnosis, lymph node metastasis and the number of metastasis to develop a prognostic score. The Cox model was used to analyze single factor and multivariate analysis of eight variables such as age, occupation, symptom-first visiting time, general type, tumor size, hemoglobin, type of operation and prognosis score. The results showed that: the prognostic score is a very significant factor (P <0.001), age is a significant factor (P <0.05). The above prognostic criteria help to make a more comprehensive and accurate estimate of prognosis, which is instructive for postoperative management and follow-up.