| ISSN |
1007-9327 (print) and 2219-2840 (online) |
| Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Transplantation |
| Manuscript Type |
Retrospective Study |
| Article Title |
Development of a nomogram for predicting liver transplantation prognosis in hepatocellular carcinoma
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Li He, Wan-Sheng Ji, Hai-Long Jin, Wen-Jing Lu, Yuan-Yuan Zhang, Hua-Guang Wang, Yu-Yu Liu, Shuang Qiu, Meng Xu, Zi-Peng Lei, Qian Zheng, Xiao-Li Yang and Qing Zhang |
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| National Natural Science Foundation of China |
81972696 |
| National Natural Science Foundation of China |
81372595 |
|
| Corresponding Author |
Qing Zhang, MD, Chief Physician, Department of Organ Transplantation, The Third Medical Centre of Chinese PLA General Hospital, No. 69 Yongding Road, Haidian District, Beijing 100039, China. zqy6920@sina.com |
| Key Words |
Hepatocellular carcinoma; Liver transplantation; Liver cancer; Nomogram; Prognosis |
| Core Tip |
This is a retrospective study to research the influencing factors affecting the prognosis of liver cancer transplantation, including pathological factors, tumor morphology and biomarkers, exploring the prediction model of liver transplantation with high accuracy, thereby optimizing the allocation of liver transplant resources by striking a balance between maximizing the number of beneficiaries and reducing the risk of hepatocellular carcinoma recurrence. By establishing predictive models and implementing a stratification system, we hope to improve the overall efficacy and success rate of liver transplantation. |
| Publish Date |
2024-06-03 08:49 |
| Citation |
<p>He L, Ji WS, Jin HL, Lu WJ, Zhang YY, Wang HG, Liu YY, Qiu S, Xu M, Lei ZP, Zheng Q, Yang XL, Zhang Q. Development of a nomogram for predicting liver transplantation prognosis in hepatocellular carcinoma. <i>World J Gastroenterol</i> 2024; 30(21): 2763-2776</p> |
| URL |
https://www.wjgnet.com/1007-9327/full/v30/i21/2763.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v30.i21.2763 |
