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目的探讨Cox比例风险模型在肿瘤生存资料中的应用及其意义。方法对1014例食管癌切除术患者资料进行研究。选择13个可能对食管癌切除术预后产生影响的因素,通过Cox模型对食管癌切除术患者预后进行多因素分析。根据预后指数(PrognosticIndex,PI)的大小将患者分组,建立其术后生存预测模型。统计分析采用计算机处理。结果全组生存率5年45.9%,10年39.3%。影响预后的主要因素是淋巴结转移、肿瘤分期、肿瘤侵及深度、部位和组织类型(P<0.0001)。PI值小的患者预后较好。结论利用Cox比例风险模型可以分析影响肿瘤患者预后的重要因素,可利用预测模型,预测不同患者的生存概率
Objective To investigate the application and significance of Cox proportional hazards model in tumor survival data. Methods The data of 1014 patients undergoing esophagectomy were studied. Thirteen factors that may influence the prognosis of esophageal cancer resection were selected. The multivariate analysis of the prognosis of esophageal cancer resection patients was performed by Cox model. Patients were grouped according to the size of Prognostic Index (PI) and established their postoperative survival prediction model. Statistical analysis uses computer processing. Results The overall survival rate was 45.9% in 5 years and 39.3% in 10 years. The main factors affecting the prognosis were lymph node metastasis, tumor stage, tumor invasion depth, site, and tissue type (P<0.0001). Patients with small PI have a good prognosis. Conclusion The Cox proportional hazards model can be used to analyze the important factors affecting the prognosis of patients with cancer. Predictive models can be used to predict the survival probabilities of different patients.