Survival analysis on advanced non-small cell lung cancer with a Buckley-James model
10.3760/cma.j.issn.0254-6450.2010.10.024
- VernacularTitle:晚期非小细胞肺癌Buckley-James模型生存分析
- Author:
Tian XU
1
;
Hong-Yu ZHAO
;
Yu YAN
;
Su-Rong WANG
;
Xiang-Zhu ZHU
Author Information
1. 南通大学
- Keywords:
Advanced non-small cell lung cancer;
Buckley-James model;
Survival time
- From:
Chinese Journal of Epidemiology
2010;31(10):1179-1183
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the risk factors related to survival time of advanced nonsmall cell lung cancer(NSCLC)and to establish a prediction model on survival time. Methods From 2004-2006, 184 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 KPS, clinical stage, treatment and pre-treatment hemoglobin were main influencing factors on survival time. Regression equation appeared to be lnMONTH=0.0108 KPS+0.0238 HB+0.4614 Ⅲb+0.8027 Ⅲa+0.3869(radiotherapy+chemotherapy)+0.507 (radiotherapy + operation)+ 0.6082(chemotherapy + operation)- 2.098. There was no statistical difference between the prediction and the actual models of survival time by log-rank test(P=0.575>0.05). 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 significances.