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8/26/2022 10:27:23 AM | Browse: 334 | Download: 1051
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Received |
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2022-04-16 05:20 |
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Peer-Review Started |
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2022-04-16 05:22 |
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To Make the First Decision |
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Return for Revision |
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2022-05-12 01:47 |
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Revised |
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2022-05-25 10:46 |
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Second Decision |
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2022-07-29 02:49 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2022-08-01 03:17 |
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Articles in Press |
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2022-08-01 03:17 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2022-07-25 10:54 |
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Typeset the Manuscript |
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2022-08-18 08:49 |
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Publish the Manuscript Online |
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2022-08-26 07:50 |
| 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) 2022. 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 |
Machine-learning predicts portal vein thrombosis after splenectomy in patients with portal hypertension: Comparative analysis of three practical models
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Jian Li, Qi-Qi Wu, Rong-Hua Zhu, Xing Lv, Wen-Qiang Wang, Jin-Lin Wang, Bin-Yong Liang, Zhi-Yong Huang and Er-Lei Zhang |
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| National Natural Science Foundation of China |
81902839 |
| Hubei Provincial Special Grants for Scientific and Technical Innovation |
2021BCA115 |
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| Corresponding Author |
Er-Lei Zhang, MD, Doctor, 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 |
| Key Words |
Portal hypertension; Splenectomy; Portal vein thrombosis; Postoperative platelet elevation rate; Practical model; Machine learning |
| Core Tip |
For patients with portal hypertension related to hepatitis B virus, postoperative platelet elevation rate (PPER) was an important predictor for 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. |
| Publish Date |
2022-08-26 07:50 |
| Citation |
Li J, Wu QQ, Zhu RH, Lv X, Wang WQ, Wang JL, Liang BY, Huang ZY, Zhang EL. Machine-learning predicts portal vein thrombosis after splenectomy in patients with portal hypertension: Comparative analysis of three practical models. World J Gastroenterol 2022; 28(32): 4681-4697 |
| URL |
https://www.wjgnet.com/1007-9327/full/v28/i32/4681.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v28.i32.4681 |
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