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Articles in Press
11/6/2025 8:05:17 AM | Browse: 8 | Download: 0
| Category |
Medicine, Research & Experimental |
| Manuscript Type |
Clinical Trials Study |
| Article Title |
Logistic regression-based risk prediction of aortic adverse remodeling following thoracic endovascular aortic repair in patients with aortic dissection
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Lian-Feng Wang, Hong-Jiang Zhu, Cong Wang, Feng Yan and Chang-Zhen Qu |
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Zhangjiajie "xiao he(Young Talent)" Project |
2024XHRC03 |
| Jishou University School-Level Research Project |
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| Corresponding Author |
Hong-Jiang Zhu, Department of Vascular Interventional Surgery Zhangjiajie People's Hospital, Zhangjiajie People's Hospital, Zhangjiajie People's Hospital
No. 192, Guyong Road, Yongding District
Zhangjiajie City, Hunan Province, Zhangjiajie 415000, Hunan Province, China. 13028176178@163.com |
| Key Words |
Thoracic endovascular aortic repair; Aortic dissection; Adverse remodeling; Risk prediction model; False lumen; Thoracoabdominal involvement; Endovascular repair; Logistic regression |
| Core Tip |
This study developed and validated a logistic regression-based risk prediction model for aortic adverse remodeling following thoracic endovascular aortic repair (TEVAR) in patients with type B aortic dissection. The model, incorporating routinely available clinical and imaging variables, demonstrated high predictive accuracy (area under the curve = 0.968). Pan-aortic false lumen involvement was identified as the strongest predictor, increasing the risk of adverse remodeling by nearly 12-fold. This tool facilitates preoperative risk stratification to guide personalized treatment strategies and improve long-term outcomes after TEVAR. |
| Citation |
Wang LF, Zhu HJ, Wang C, Yan F, Qu CZ. Logistic regression-based risk prediction of aortic adverse remodeling following thoracic endovascular aortic repair in patients with aortic dissection. World J Cardiol 2025; In press |
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Received |
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2025-08-12 02:38 |
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Peer-Review Started |
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2025-08-12 02:38 |
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To Make the First Decision |
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Return for Revision |
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2025-08-27 07:46 |
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Revised |
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2025-09-10 04:20 |
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Second Decision |
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2025-11-06 02:43 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2025-11-06 08:05 |
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Articles in Press |
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2025-11-06 08:05 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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| ISSN |
1949-8462 (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) 2025. Published by Baishideng Publishing Group Inc. All rights reserved. |
| 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 |
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