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卵巢癌患者预后因素的Cox回归分析 被引量:8

Prognostic analysis of ovarian cancer using the Cox regression model
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摘要 背景与目的:卵巢癌发病率高,生存率低,远期疗效依然不理想。本研究目的是探讨影响卵巢癌患者生存预后的相关因素。方法:收集1999~2004年在陕西省肿瘤医院收治的103例卵巢癌患者资料进行回顾性研究。随访100个月,以寿命表法计算生存率,变量分析以Kaplan-Meier法进行分析,用log-rank检验生存率差异,采用Cox多因素模型进行多因素分析,并对预后生存指标进行评价。结果:卵巢癌患者1年、3年、5年生存率分别为87.7%、50.8%、31.1%。单因素分析显示临床分期、分化程度、手术残余瘤的大小和化疗疗程是影响卵巢癌患者预后的因素;Cox比例风险模型分析显示,临床分期、分化程度、手术残余瘤的大小和化疗疗程是影响预后的指标。结论:卵巢癌在早期尽可能地切除病灶,术后残留灶<2cm,术后足量疗程的化疗可改善预后。 Background and Objective: cause of death among gynecologica Ovarian cancer is the most common malignancy. This study was to investigate the prognostic factors for ovarian cancer using the Cox regression model. Methods: Data of 103 patients, initially operated at Shaan'xi Tumor Hospital from 1999 to 2004, were retrospectively analyzed. All patients were operated by experienced surgeons, and underwent adjuvant chemotherapy afterwards. Follow-up lasted for 100 months. Kaplan-Meier survival curves, long-rank test and the Cox regression model were used for analysis. Results: The 1-, 3- and 5-year survival rates of patients with ovarian cancer were 87.7%, 50.8% and 31.1% , respectively. Univariate analysis and the Cox regression model showed that clinical stage, differentiation, tumor residues and chemotherapy cycle were the major prognostic factors of ovarian cancer. Conclusions: Sufficient removal of the ovarian cancer at the early stage, residual tumor of less than 2 cm in diameter and sufficient adjuvant chemotherapy after surgery could improve the survival rates of ovarian cancer.
出处 《癌症》 SCIE CAS CSCD 北大核心 2009年第2期205-208,共4页 Chinese Journal of Cancer
基金 陕西省科学技术研究发展计划项目(2004K13-G4)~~
关键词 卵巢肿瘤 预后因素 COX模型 ovarian cancer, prognostic factors, Cox regression model
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