| Category |
Gastroenterology & Hepatology |
| Manuscript Type |
Retrospective Study |
| Article Title |
Model based on γ-glutamyltransferase and alkaline phosphatase for hepatocellular carcinoma prognosis
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Xin-Sen Xu, Yong Wan, Si-Dong Song, Wei Chen, Run-Chen Miao, Yan-Yan Zhou, Ling-Qiang Zhang, Kai Qu, Si-Nan Liu, Yue-Lang Zhang, Ya-Feng Dong and Chang Liu |
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| National Natural Science Foundation of China |
81272644 |
| National Natural Science Foundation of China |
81201549 |
|
| Corresponding Author |
Chang Liu, MD, PhD, Department of Hepatobiliary Surgery, the First Affiliated Hospital of Medical College, Xi’an Jiaotong University, No. 277, West Yanta Road, Xi’an 710061, Shaanxi Province, China. liuchangdoctor@163.com |
| Key Words |
Alkaline phosphatase; γ-Glutamyltransferase; Prognosis; Hepatocellular carcinoma |
| Core Tip |
To determine the optimal cut-off value of alkaline phosphatase (ALP) and γ-glutamyltransferase (GGT) to predict hepatocellular carcinoma (HCC) prognosis after liver resection, and to establish a scoring model, we analyzed the outcome of 172 HCC patients who underwent liver resection. Receiver operating characteristic curve analysis was performed to determine the cut-off value of ALP and GGT. Preoperative risk factors for survival were evaluated by multivariate analysis. Based on the significant factors, a prognostic scoring model was established. Our model might affect the outcome of patients in different risk groups, and was superior to the traditional risk markers. |
| Publish Date |
2014-08-20 18:38 |
| Citation |
Xu XS, Wan Y, Song SD, Chen W, Miao RC, Zhou YY, Zhang LQ, Qu K, Liu SN, Zhang YL, Dong YF, Liu C. Model based on γ-glutamyltransferase and alkaline phosphatase for hepatocellular carcinoma prognosis. World J Gastroenterol 2014; 20(31): 10944-10952 |
| URL |
http://www.wjgnet.com/1007-9327/full/v20/i31/10944.htm |
| DOI |
http://dx.doi.org/10.3748/wjg.v20.i31.10944 |
