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Articles Published Processes
3/2/2022 4:52:52 AM | Browse: 332 | Download: 766
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Received |
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2021-11-29 07:22 |
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Peer-Review Started |
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2021-11-29 07:25 |
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To Make the First Decision |
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Return for Revision |
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2022-01-12 01:09 |
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Revised |
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2022-01-17 11:33 |
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Second Decision |
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2022-02-22 03:28 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2022-02-23 19:52 |
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Articles in Press |
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2022-02-23 19:52 |
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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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2022-02-24 01:55 |
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Publish the Manuscript Online |
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2022-03-02 04:52 |
ISSN |
2307-8960 (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: http://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 |
Obstetrics & Gynecology |
Manuscript Type |
Retrospective Study |
Article Title |
Develop a nomogram to predict overall survival of patients with borderline ovarian tumors
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Manuscript Source |
Unsolicited Manuscript |
All Author List |
Xiao-Qin Gong and Yan Zhang |
ORCID |
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Funding Agency and Grant Number |
Funding Agency |
Grant Number |
the National Key Technology R&D Program of China |
2019YFC1005200 |
the National Key Technology R&D Program of China |
2019YFC1005202 |
the National Key Technology R&D Program of China |
2018YFC1002103 |
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Corresponding Author |
Yan Zhang, MD, Doctor, Doctor, Department of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jie Fang Avenue 1095, Wuhan 430030, Hubei Province, China. 283427856@qq.com |
Key Words |
Borderline ovarian tumors; Epithelial ovarian cancer; Nomogram; Survival |
Core Tip |
The recurrence and overall survival of borderline ovarian tumors (BOTs) after operation have been one of the main concerns of patients and clinicians. In this research, we firstly performed a 1:1 propensity score matching analysis by applying age as a matching variable, then we found that patients with BOTs had a better overall survival as compared to patients with epithelial ovarian cancer (EOC), more importantly, the 5-year restricted mean survival time of BOTs was longer than EOC. What’s more, we conducted a nomogram that could accurately predict 1, 3, 5-year overall survival in patients with BOTs. |
Publish Date |
2022-03-02 04:52 |
Citation |
Gong XQ, Zhang Y. Develop a nomogram to predict overall survival of patients with borderline ovarian tumors. World J Clin Cases 2022; 10(7): 2115-2126 |
URL |
https://www.wjgnet.com/2307-8960/full/v10/i7/2115.htm |
DOI |
https://dx.doi.org/10.12998/wjcc.v10.i7.2115 |
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