期刊文献+

竞争风险模型在女性乳腺癌预后预测研究中的应用 被引量:2

Application of competing risk model in the prognostic prediction study of female breast cancer
下载PDF
导出
摘要 目的探索竞争风险模型在乳腺癌患者预后预测中的应用,并与传统生存分析结果进行比较。方法运用K-M方法估算总体风险率;采用原因别风险模型进行多因素分析,评价复发和转移的影响因素。结果 K-M方法的风险率高于竞争风险情况下的风险率。肿瘤大小和个人乳腺疾病史是复发的独立预后因素。结论竞争风险模型在乳腺癌患者的预后预测中更合理、更客观。 Objective To explore the application of competing risk model in the prognostic prediction study of female breast cancer, and compare it with traditional survival analysis method. Methods K-M method, in the present of competing risk factors, was used to estimate overall risk ratio; cause-specific risk model was used for multiple factor analysis and to evaluate the influence factors of recurrence and metastasis. SPSS16.0, excel 2007 and R2.10.1 were used in the study. Results The risk ratio estimated with K-M method was higher than that with competing risk model. Conclusion The results showed that competing risk model was more rational than the traditional survival analysis method.
出处 《广东医学院学报》 2016年第1期9-12,共4页 Journal of Guangdong Medical College
基金 国家自然科学基金(No.30671822 No.81573257)
关键词 乳腺癌 竞争风险模型 原因别风险模型 Breast cancer competing risk model cause-specific risk model
  • 相关文献

参考文献6

二级参考文献38

  • 1全国肿瘤防治研究办公室,卫生部卫生信息中心.中国试点市、县恶性肿瘤的发病与死亡(1993-1997).北京:中国医药科技出版社,2002.
  • 2Stewart BW,Kleihues P. World cancer report. IARC Press,Lyon,2003.
  • 3Althuis MD, Dozier JM, Anderson WF, et al. Global trends inbreast cancer incidence and mortality 197-1997. Int J Epidemiol,2005,34(2):405-412.
  • 4郝捷,赵平,陈万青.2011中国肿瘤登记年报.北京:军事医学科学出版社,2012.
  • 5陈竺.全国第三次死因回顾滿样调查报告.北京:中国协和医科大学出版社,2008.
  • 6Ferlay J,Shin HR,Bray F,et al. GLOBOCAN 2008 vl.2,CancerIncidence and Mortality Worldwide : IARC CancerBase No. 10[internet]. Lyon, France: International Agency for Research onCancer; 2010. Available from: http://glofiocan.iarc.fr,accessedon 30/10/2011.
  • 7Yang L,Parkin DM,Ferlay J,et al. Estimates of cancer incidencein China for 2000 and projections for 2005. Cancer EpidemiolBiomarkers Prev,2005,14(1) :243-250.
  • 8Zhao P, Dai M, Chen WQ, et al. Cancer trends in China. Jpn JClin Oncol,2010,40:281-285.
  • 9Madigan MP,Ziegler RG, Benichou J, et al. Proportion of breastcancer cases in the United States explained by well-establishedrisk factors. JNatl Cancer Inst, 1995,87 : 1681-1685.
  • 10Tavani A, Braga C, La Vecchia C, et al. Attributable risks forbreast cancer in Italy : education, family history and reproductiveand hormonal factors. Int J Cancer, 1997,70: 159-163.

共引文献198

同被引文献16

引证文献2

二级引证文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部