Application of Weibull model for survival of patients with gastric cancer

BMC Gastroenterology

Research Article

Xin Xia¹  Chuan H Yu¹  Shun F Liu²  Ahmed Adnan²  Hui P Zhu³  Yu K Du³ 

[1] Department of Epidemiology and Statistics, School of Public Health, Wuhan University, Wuhan, P.R. China;Department of General Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China;Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China;

关键词: Gastric Cancer;    Gastric Carcinoma;    Akaike Information Criterion;    Histologic Grade;    Stomach Cancer;   

DOI  :  10.1186/1471-230X-11-1

 received in 2010-08-25, accepted in 2011-01-07,  发布年份 2011

来源: Springer

【 摘 要 】

BackgroundResearchers in the medical sciences prefer employing Cox model for survival analysis. In some cases, however, parametric methods can provide more accurate estimates. In this study, we used Weibull model to analyze the prognostic factors in patients with gastric cancer and compared with Cox.MethodsWe retrospectively studied 1715 patients with gastric cancer. Age at diagnosis, gender, family history, past medical history, tumor location, tumor size, eradicative degree of surgery, depth of tumor invasion, combined evisceration, pathologic stage, histologic grade and lymph node status were chosen as potential prognostic factors. Weibull and Cox model were performed with hazard rate and Akaike Information Criterion (AIC) to compare the efficiency of models.ResultsThe results from both Weibull and Cox indicated that patients with the past history of having gastric cancer had the risk of death increased significantly followed by poorly differentiated or moderately differentiated in histologic grade. Eradicative degree of surgery, pathologic stage, depth of tumor invasion and tumor location were also identified as independent prognostic factors found significant. Age was significant only in Weibull model.ConclusionFrom the results of multivariate analysis, the data strongly supported the Weibull can elicit more precise results as an alternative to Cox based on AIC.

【 授权许可】

Unknown   
© Zhu et al; licensee BioMed Central Ltd. 2011. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.