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应用Cox比例风险模型对188例乳腺癌患者术后长期生存质量影响的临床研究(英文)

Clinical study on the impact of long-term survival quality in 188 postoperative patients with breast cancer by cox proportional hazard models
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摘要 目的探讨乳腺癌术后各种病理因素对乳腺癌患者长期生存质量的影响及在预后评估中的作用。方法选择16个可能对乳腺癌术后长期生存产生影响的临床病理因素,应用Cox比例风险模型对188例乳腺癌术后的患者进行综合多因素分析。结果除TNM分期、病理分化程度及手术方式等临床病理因素外,患者术后情感功能、认知功能及社会生活功能的变化也是影响乳腺癌术后患者长期生存质量的重要因素。结论乳腺癌患者术后情感功能、认知功能及社会生活功能的变化也是判断乳癌术后患者长期生存质量的重要指标。临床上应该结合这些因素以使乳癌术后患者预后判断更准确、更全面。 Objective To stndy the effect of long-term survival quality and the value in predicting prognosis in postoperative patients with breast cancer by the impact of all kinds of pathological factors. Methods Sixteen clinic pathological and life functional factors which possibly influence the long-term survival were selected from the clinical data of 188 patients with breast cancer. A general multivariate analysis was performed by the Cox proportional hazard models. Results In addition to clinic pathological factors, such as TNM staging ,pathological differentiation and operational way etc, the change of emotional function, cognitional function and social living function maybe hazardous factors which influence long-term survival in postoperative patients with breast cancer. Conclusion The change of emotional function and social function also play an important role in prognosis of long-term survival in postoperative patients with breast cancer. We should think along with all the other factors in order to evaluate the prognosis of patients with breast cancer more accurately.
出处 《现代肿瘤医学》 CAS 2005年第6期803-806,共4页 Journal of Modern Oncology
关键词 乳腺癌 生存质量 预后 breast cancer survival quality prognosis
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参考文献4

  • 1GaiXueliang, Fan Zhimin, Jacques Bresson. Comparison of survival among patients with breast cancer treated at first teaching hospital, Changchun, China, and Saint-Sacrement Hospital, Quebec, Canada [J]. Chinese J Cancer Res, 1995, 7(3): 197~205.
  • 2Kwan W, Jackson J, Weir L M, et, al. Chronic、arm morbidity after curative breast cancer treatment: prevalence and impact on quality of life [J].J Clin Oncol, 2002, 20 (20):4242.
  • 3Bertucci F,Nasser V,Granjeaud S,et al .Gene expression profiles of poor-prognosis primary breast cancer correlate with survival [ J]. Hum Mol Genet,2002 ,11(8) :863~872.
  • 4Cox DR. Regression models and life-tables [M].J R Statist SocB, 1973.34:187.

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