Copyright
©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Clin Cases. Nov 16, 2022; 10(32): 11743-11752
Published online Nov 16, 2022. doi: 10.12998/wjcc.v10.i32.11743
Published online Nov 16, 2022. doi: 10.12998/wjcc.v10.i32.11743
Non-invasive model for predicting esophageal varices based on liver and spleen volume
Long-Bao Yang, Gang Zhao, Xin-Xing Tantai, Cai-Lan Xiao, Lei Dong, Dan-Yan Chang, Yuan Jia, Hong Li, Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, Shaanxi Province, China
Si-Wen Qin, Department of Medicine, Xi'an Jiaotong University, Xi'an 710004, Shaanxi Province, China
Author contributions: Yang LB, Zhao G and Dong L designed the research study; Tan-tai XX and Xiao CL performed the research; Jia Y and Chang DY contributed new reagents and analytic tools; Qing SW and Li H analyzed the data and wrote the manuscript; All authors have read and approve the final manuscript.
Supported by Key Research and Development Plan of Shaanxi Province , No. 2020SF-222 .
Institutional review board statement: The study was approved by the Ethics Committee of Xi’an Jiaotong University, Shaanxi, China (NO. 2017-445).
Informed consent statement: Informed consent was waived by the Ethics Committee of Xi’an Jiaotong University as patients were identified retrospectively, according to institutional review board exempt protocols.
Conflict-of-interest statement: There are no conflicts of interest to declare.
Data sharing statement: Technical appendix, statistical code, and dataset available from the corresponding author at hongli119@hotmail.com.
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: Hong Li, MD, Doctor, Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, No. 157 Xiwu Road, Xi'an 710004, Shaanxi Province, China. hongli119@hotmail.com
Received: August 28, 2022
Peer-review started: August 28, 2022
First decision: October 4, 2022
Revised: October 7, 2022
Accepted: October 18, 2022
Article in press: October 18, 2022
Published online: November 16, 2022
Processing time: 72 Days and 2.9 Hours
Peer-review started: August 28, 2022
First decision: October 4, 2022
Revised: October 7, 2022
Accepted: October 18, 2022
Article in press: October 18, 2022
Published online: November 16, 2022
Processing time: 72 Days and 2.9 Hours
Core Tip
Core Tip: An effective novel non-invasive predictive model based on the standard liver and spleen volume formula for esophageal varices in individuals with viral cirrhosis was developed. The model's specificity, calibrability, and clinical efficacy were superior to other models.