Log-normal censored regression model detecting prognostic factors in gastric cancer: A study of 3018 cases

IMR OpenIR

	Log-normal censored regression model detecting prognostic factors in gastric cancer: A study of 3018 cases
其他题名	Log-normal censored regression model detecting prognostic factors in gastric cancer:A study of 3018 cases
	Wang BinBin; Liu CaiGang; Lu Ping; Latengbaolide A; Lu Yang
	2011
发表期刊	WORLD JOURNAL OF GASTROENTEROLOGY
ISSN	1007-9327
卷号	17 期号:23 页码:2867-2872
摘要	AIM: To investigate the efficiency of Cox proportional hazard model in detecting prognostic factors for gastric cancer.
其他摘要	AIM:To investigate the efficiency of Cox proportional hazard model in detecting prognostic factors for gastric cancer.METHODS:We used the log-normal regression model to evaluate prognostic factors in gastric cancer and compared it with the Cox model.Three thousand and eighteen gastric cancer patients who received a gastrectomy between 1980 and 2004 were retrospectively evaluated.Clinic-pathological factors were included in a log-normal model as well as Cox model.The akaike information criterion(AIC)was employed to compare the efficiency of both models.Univariate analysis indicated that age at diagnosis,past history,cancer location,distant metastasis status,surgical curative degree,combined other organ resection,Borrmann type,Lauren’s classification,pT stage,total dissected nodes and pN stage were prognostic factors in both log-normal and Cox models.RESULTS:In the final multivariate model,age at diagnosis,past history,surgical curative degree,Borrmann type,Lauren’s classification,pT stage,and pN stage were significant prognostic factors in both log-normal and Cox models.However,cancer location,distant metastasis status,and histology types were found to be significant prognostic factors in log-normal results alone.According to AIC,the log-normal model performed better than the Cox proportional hazard model(AIC value:2534.72 vs 1693.56).CONCLUSION:It is suggested that the log-normal regression model can be a useful statistical model to evaluate prognostic factors instead of the Cox proportional hazard model.
关键词	SURGERY Gastric cancer Log normal regression model Cox proportional hazard model Prognostic factors
收录类别	CSCD
语种	英语
资助项目	[Gastric Cancer Laboratory] ; [Department of Chinese Medical University, Shenyang, China] ; [Science and Technology Program of Shenyang]
CSCD记录号	CSCD:4251556
引用统计	被引频次：2[CSCD] [CSCD记录]
文献类型	期刊论文
条目标识符	http://ir.imr.ac.cn/handle/321006/143433
专题	中国科学院金属研究所
作者单位	中国科学院金属研究所
推荐引用方式 GB/T 7714	Wang BinBin,Liu CaiGang,Lu Ping,et al. Log-normal censored regression model detecting prognostic factors in gastric cancer: A study of 3018 cases[J]. WORLD JOURNAL OF GASTROENTEROLOGY,2011,17(23):2867-2872.
APA	Wang BinBin,Liu CaiGang,Lu Ping,Latengbaolide A,&Lu Yang.(2011).Log-normal censored regression model detecting prognostic factors in gastric cancer: A study of 3018 cases.WORLD JOURNAL OF GASTROENTEROLOGY,17(23),2867-2872.
MLA	Wang BinBin,et al."Log-normal censored regression model detecting prognostic factors in gastric cancer: A study of 3018 cases".WORLD JOURNAL OF GASTROENTEROLOGY 17.23(2011):2867-2872.