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©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastrointest Oncol. Aug 15, 2023; 15(8): 1486-1496
Published online Aug 15, 2023. doi: 10.4251/wjgo.v15.i8.1486
Published online Aug 15, 2023. doi: 10.4251/wjgo.v15.i8.1486
Development and application of hepatocellular carcinoma risk prediction model based on clinical characteristics and liver related indexes
Zhi-Jie Liu, Department of Clinical Transfusion, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, Sichuan Province, China
Yue Xu, Bin Guo, Guo-Yuan Zhang, Guang-Cheng Luo, Qiang Wang, Department of Clinical Laboratory, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, Sichuan Province, China
Wen-Xuan Wang, Department of Radiology, Nanchong Central Hospital, Nanchong 637000, Sichuan Province, China
Author contributions: Luo GC and Wang Q contributed to the conceptualisation and design of this study; Liu ZJ, Xu Y, Wang WX, Guo B, and Zhang GY contributed to the clinical data collection and analysis; Liu ZJ, Xu Y, and Wang WX prepared and wrote the first draft of this manuscript; Wang Q revised the manuscript.
Institutional review board statement: This study was approved by the Ethics Committee of Affiliated Hospital of North Sichuan Medical College and conducted in accordance with the declaration of Helsinki Principles.
Informed consent statement: The informed consent of this study was exempted by the Ethics Committee of Affiliated Hospital of North Sichuan Medical College.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Data sharing statement: Technical appendix, statistical code, and dataset available from the corresponding author at email address. Participants gave informed consent for data sharing.
STROBE statement: The authors have read the STROBE Statement-checklist of items, and the manuscript was prepared and revised according to the STROBE Statement-checklist of items.
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/
Corresponding author: Qiang Wang, PhD, Research Assistant Professor, Department of Clinical Laboratory, Affiliated Hospital of North Sichuan Medical College, No. 1 Maoyuan South Road, Shunqing District, Nanchong 637000, Sichuan Province, China. wqiang_1981@126.com
Received: February 10, 2023
Peer-review started: February 10, 2023
First decision: May 19, 2023
Revised: May 28, 2023
Accepted: June 25, 2023
Article in press: June 25, 2023
Published online: August 15, 2023
Processing time: 181 Days and 5.6 Hours
Peer-review started: February 10, 2023
First decision: May 19, 2023
Revised: May 28, 2023
Accepted: June 25, 2023
Article in press: June 25, 2023
Published online: August 15, 2023
Processing time: 181 Days and 5.6 Hours
Core Tip
Core Tip: This study identified the risk factors associated with hepatocellular carcinoma (HCC) and further established a risk prediction model based on the clinical characteristics and liver indicators. By evaluating in the training cohort and confirming with the validation cohort, we proved that the proposed model has good sensitivity and specificity in high-risk populations with HCC, with a high accuracy in early-stage HCC diagnosis. In addition, we recommend a risk prediction scale (low to very high risk). This will help clinicians to diagnose HCC earlier and thus improve the prognosis of patients.