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2/25/2024 3:12:19 PM | Browse: 56 | Download: 96
Publication Name World Journal of Gastrointestinal Surgery
Manuscript ID 87737
Country China
Received
2023-08-25 03:05
Peer-Review Started
2023-08-25 03:08
To Make the First Decision
Return for Revision
2023-09-29 02:49
Revised
2023-11-05 14:36
Second Decision
2024-01-19 02:39
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2024-01-19 04:50
Articles in Press
2024-01-19 04:50
Publication Fee Transferred
Edit the Manuscript by Language Editor
2024-01-25 18:18
Typeset the Manuscript
2024-02-07 08:11
Publish the Manuscript Online
2024-02-25 15:12
ISSN 1948-9366 (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) 2024. 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 Chemistry, Medicinal
Manuscript Type Retrospective Study
Article Title Development of a clinical nomogram for prediction of response to neoadjuvant chemotherapy in patients with advanced gastric cancer
Manuscript Source Unsolicited Manuscript
All Author List Bing Liu, Yu-Jie Xu, Feng-Ran Chu, Guang Sun, Guo-Dong Zhao and Sheng-Zhong Wang
ORCID
Author(s) ORCID Number
Sheng-Zhong Wang http://orcid.org/0009-0003-1532-9917
Funding Agency and Grant Number
Funding Agency Grant Number
Natural Science Foundation of Hainan Province No. 823RC609
Corresponding Author Sheng-Zhong Wang, Doctor, Additional Professor, Department of Gastrointestinal Surgery, Central South University Xiangya School of Medicine Affiliated Haikou Hospital, No. 43 Renmin Avenue, Meilan District, Haikou 570208, Hainan Province, China. shengzhong323@163.com
Key Words Advanced gastric cancer; Predictor; Neoadjuvant chemotherapy; Nomogram; Tumor regression grade
Core Tip Clinical information was collected from 230 gastric cancer (GC) patients who received neoadjuvant chemotherapy (NAC) at the Central South University Xiangya School of Medicine Affiliated Haikou Hospital from January 2016 to December 2020. Least absolute shrinkage and selection operator logistic regression analysis was performed to find the possible predictors which a nomogram model for prediction of response to NAC was based on. The conclusion is shown as, the nomogram which combined tumor location, histological differentiation, clinical T stage and carbohydrate antigen 724 showed satisfactory predictive power to response of NAC, and could be used by gastrointestinal surgeons to identify optimal treatment strategy for advanced GC patients.
Publish Date 2024-02-25 15:12
Citation Liu B, Xu YJ, Chu FR, Sun G, Zhao GD, Wang SZ. Development of a clinical nomogram for prediction of response to neoadjuvant chemotherapy in patients with advanced gastric cancer. World J Gastrointest Surg 2024; 16(2): 396-408
URL https://www.wjgnet.com/1948-9366/full/v16/i2/396.htm
DOI https://dx.doi.org/10.4240/wjgs.v16.i2.396
Full Article (PDF) WJGS-16-396-with-cover.pdf
Full Article (Word) WJGS-16-396.docx
Manuscript File 87737-Review-Filipodia.docx
Answering Reviewers 87737-Answering reviewers.pdf
Audio Core Tip 87737-Audio core tip.mp3
Biostatistics Review Certificate 87737-Biostatistics statement.pdf
Conflict-of-Interest Disclosure Form 87737-Conflict-of-interest statement.pdf
Copyright License Agreement 87737-Copyright license agreement.pdf
Approved Grant Application Form(s) or Funding Agency Copy of any Approval Document(s) 87737-Grant application form(s).pdf
Signed Informed Consent Form(s) or Document(s) 87737-Informed consent statement.pdf
Institutional Review Board Approval Form or Document 87737-Institutional review board statement.pdf
Peer-review Report 87737-Peer-review(s).pdf
Scientific Misconduct Check 87737-Bing-Qu XL-2.jpg
Scientific Editor Work List 87737-Scientific editor work list.pdf
CrossCheck Report 87737-CrossCheck report.pdf