文章摘要
徐添,赵洪瑜,严煜,王苏容,朱湘竹.晚期非小细胞肺癌Buckley-James模型生存分析[J].中华流行病学杂志,2010,31(10):1179-1183
晚期非小细胞肺癌Buckley-James模型生存分析
Survival analysis on advanced non.small cell Iung cancer with a Buckley-James model
收稿日期:2010-03-22  出版日期:2014-09-18
DOI:10.3760/cma.j.issn.0254-6450.2010.10.024
中文关键词: 晚期非小细胞肺癌;模型,Buckley.James;生存时间
英文关键词: Advanced non-small cell lung cancer;Buckley·James model;Survival time
基金项目:江苏省卫生厅研究课题(H200924)
作者单位E-mail
徐添 226001 南通大学公共卫生学院流行病与卫生统计学教研室 zhxzh@ntu.edu.Cn 
赵洪瑜 南通大学附属医院肿瘤放疗科  
严煜 南通大学附属医院胸外科:  
王苏容 南通大学护理学院  
朱湘竹 226001 南通大学公共卫生学院流行病与卫生统计学教研室  
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中文摘要:
      目的 探讨影响晚期非小细胞肺癌患者生存时间的因素并建立生存时间预测模 型。方法 分析2004--2006年南通大学附属医院初治的184例晚期qH,细胞肺癌患者的临床资 料,采用Buckley.James生存分析(B.J)模型对可能影响预后的因素进行筛选,运用log-rank检验对 患者的实际生存时间与预测时间进行比较。结果 B.J模型闪素筛选结果 显示,KPS评分、临床分 期、治疗方式以及治疗前血红蛋白水平是晚期非小细胞肺癌患者生存时间的主要影响因素,回归 方程为InMONTH=0.0108 KPS评分+0.0238血红蛋白+0.4614mb期+0.8027Ⅲa期+0.3869(放 疗+化疗)+0.507(放疗+手术)+0.6082(化疗+手术)--2.098。所建立的生存时间预测模型与 实际生存时间比较,差异无统计学意义(P=0.575>0.05)。结论 KPS评分、l临床分期、治疗方式 以及治疗前血红蛋白水平均可能影响患者的预后,所建立的生存时间预测模型具有实际意义。
英文摘要:
      objective To analyze the risk factors related to survival time of advanced non- small cell lung cancer(NSCLC)and to establish a prediction model on survival time.Methods From 2004-2006.1 84 patients with advanced NSCLC were enrolled in the Affiliated Hospital to the Nantong Midical College.Related risk factors were analyzed.using the Buckley-James model.Both actual and predicted survival time were compared by log.rank test.Results Through Buckley-James model analysis,data showed that loS,clinical stage,treatment and pre-treatment hemoglobin were main influencing factors on survival time.Regression equation appeared to be InMONTH= 0.0108 KPS+0.0238 HB+0.4614 IIIb+0.8027Ⅲa+0.3869(radiotherapy+chemotherapy)+0.507 (radiotherapy+operation)+0.6082(chemotherapy+operation)一2.098.There was no statistical difference between the prediction and the actual models of survival time by log-rank test(P----0.575> O.05).Conclusion KPS,clinical stage,treatment and pre.treatment hemoglobin might be associated. Both the prognosis of patients with advanced NSCLC and the prediction model seemed to have practical signiflcances.
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