| ISSN |
2307-8960 (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: http://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2021. 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 |
Gastroenterology & Hepatology |
| Manuscript Type |
Retrospective Study |
| Article Title |
Nomogram based on inflammation-related markers for predicting the survival of patients undergoing hepatectomy for hepatocellular carcinoma
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Tian Pu, Zi-Han Li, Dong Jiang, Jiang-Ming Chen, Qi Guo, Ming Cai, Zi-Xiang Chen, Kun Xie, Yi-Jun Zhao and Fu-Bao Liu |
| ORCID |
|
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Key Research and Development Plan of Anhui Province |
1804h08020239 (Dr. Liu FB) |
|
| Corresponding Author |
Fu-Bao Liu, MD, PhD, Chief Doctor, Professor, Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, No. 218, Jixi Road, Hefei 230022, Anhui Province, China. lancetlfb@126.com |
| Key Words |
Platelet-to-lymphocyte ratio; Neutrophil-to-lymphocyte ratio; Overall survival; Nomogram; Liver malignancy |
| Core Tip |
Inflammation is a systemic process involving multicell participation, multipathway activation, and multifunctional execution. The prognosis of hepatocellular carcinoma (HCC) not only depends on the progression of liver malignancy but is also affected by inflammation. Nomogram, as a visualization method of statistical models, gradually improve individualization with the inclusion of risk factors, providing clinicians and patients with much information to effectively stratify liver malignancy patients and formulate personalized treatments. The nomograms developed in the past focused on pathological characteristics. In this study, we developed a nomogram that could predict the prognosis of HCC patients after hepatectomy based on tumour pathological characteristics and inflammation indicators. |
| Publish Date |
2021-12-23 14:14 |
| Citation |
Pu T, Li ZH, Jiang D, Chen JM, Guo Q, Cai M, Chen ZX, Xie K, Zhao YJ, Liu FB. Nomogram based on inflammation-related markers for predicting the survival of patients undergoing hepatectomy for hepatocellular carcinoma. World J Clin Cases 2021; 9(36): 11193-11207 |
| URL |
https://www.wjgnet.com/2307-8960/full/v9/i36/11193.htm |
| DOI |
https://dx.doi.org/10.12998/wjcc.v9.i36.11193 |
