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3/2/2022 4:52:52 AM | Browse: 332 | Download: 766
Publication Name World Journal of Clinical Cases
Manuscript ID 73612
Country China
Received
2021-11-29 07:22
Peer-Review Started
2021-11-29 07:25
To Make the First Decision
Return for Revision
2022-01-12 01:09
Revised
2022-01-17 11:33
Second Decision
2022-02-22 03:28
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief
2022-02-23 19:52
Articles in Press
2022-02-23 19:52
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2022-02-24 01:55
Publish the Manuscript Online
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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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
Manuscript Source Unsolicited Manuscript
All Author List Xiao-Qin Gong and Yan Zhang
ORCID
Author(s) ORCID Number
Xiao-Qin Gong http://orcid.org/0000-0002-2314-3819
Yan Zhang http://orcid.org/0000-0002-9502-9775
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
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
Full Article (PDF) WJCC-10-2115.pdf
Full Article (Word) WJCC-10-2115.docx
Manuscript File 73612_Auto_Edited-LJH.docx
Answering Reviewers 73612-Answering reviewers.pdf
Audio Core Tip 73612-Audio core tip.mp3
Biostatistics Review Certificate 73612-Biostatistics statement.pdf
Conflict-of-Interest Disclosure Form 73612-Conflict-of-interest statement.pdf
Copyright License Agreement 73612-Copyright license agreement.pdf
Institutional Review Board Approval Form or Document 73612-Institutional review board statement.pdf
Non-Native Speakers of English Editing Certificate 73612-Language certificate.pdf
Peer-review Report 73612-Peer-review(s).pdf
Scientific Misconduct Check 73612-Bing-Liu JH-2.jpg
Scientific Misconduct Check 73612-CrossCheck.jpg
Scientific Editor Work List 73612-Scientific editor work list.pdf
CrossCheck Report 73612-CrossCheck report.pdf