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©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Aug 28, 2022; 28(32): 4681-4697
Published online Aug 28, 2022. doi: 10.3748/wjg.v28.i32.4681
Published online Aug 28, 2022. doi: 10.3748/wjg.v28.i32.4681
Machine learning predicts portal vein thrombosis after splenectomy in patients with portal hypertension: Comparative analysis of three practical models
Jian Li, Rong-Hua Zhu, Xing Lv, Wen-Qiang Wang, Jin-Lin Wang, Bin-Yong Liang, Zhi-Yong Huang, Er-Lei Zhang, Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei Province, China
Qi-Qi Wu, Department of Trauma Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei Province, China
Author contributions: All authors contributed to the study; Li J wrote the manuscript, and collected and analysed the data; Wu QQ collected the data, and contributed to the follow-up results; Zhu RH, Lv X, and Wang WQ collected the data and performed the analysis; Wang JL contributed to the data; Liang BY and Huang ZY provided the resources and supervision; Zhang EL contributed to writing the manuscript, and drafting the conception and design; all authors read and approved the final manuscript.
Supported by National Natural Science Foundation of China , No. 81902839 ; and Hubei Provincial Special Grants for Scientific and Technical Innovation , No. 2021BCA115 .
Institutional review board statement: The study was approved by the Medical Ethics Committee of Tongji Medical College, Huazhong University of Science and Technology (No. 2022-LSZ (S066)).
Informed consent statement: Written informed consent from the patients was waived due to the retrospective nature of this study.
Conflict-of-interest statement: All authors declare no conflicts of interest related to this article.
Data sharing statement: No additional data are available.
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: Er-Lei Zhang, MD, Doctor, Department of Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan 430030, Hubei Province, China. baiyu19861104@163.com
Received: April 16, 2022
Peer-review started: April 16, 2022
First decision: May 12, 2022
Revised: May 25, 2022
Accepted: July 31, 2022
Article in press: July 31, 2022
Published online: August 28, 2022
Peer-review started: April 16, 2022
First decision: May 12, 2022
Revised: May 25, 2022
Accepted: July 31, 2022
Article in press: July 31, 2022
Published online: August 28, 2022
Core Tip
Core Tip: For patients with portal hypertension related to hepatitis B virus, postoperative platelet elevation rate (PPER) is an important predictor of the formation of portal vein thrombosis (PVT) after splenectomy. This study was the first to construct PPER-based practical models for predicting PVT, which would be helpful for clinicians to recognize individuals at high risk of PVT as soon as possible.