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6/28/2023 11:54:32 AM | Browse: 139 | Download: 470
Publication Name World Journal of Gastroenterology
Manuscript ID 83633
Country China
Received
2023-02-02 12:39
Peer-Review Started
2023-02-02 12:41
To Make the First Decision
Return for Revision
2023-03-20 06:18
Revised
2023-03-30 16:05
Second Decision
2023-05-16 03:04
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2023-05-16 22:18
Articles in Press
2023-05-16 22:18
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2023-06-16 01:22
Publish the Manuscript Online
2023-06-28 10:03
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: http://creativecommons.org/Licenses/by-nc/4.0/
Copyright © The Author(s) 2023. 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 Gastroenterology & Hepatology
Manuscript Type Retrospective Cohort Study
Article Title Prediction of lymph node metastasis in early gastric signet-ring cell carcinoma: A real-world retrospective cohort study
Manuscript Source Unsolicited Manuscript
All Author List Jia-Jia Yang, Xiao-Yong Wang, Rui Ma, Mei-Hong Chen, Guo-Xin Zhang and Xuan Li
Funding Agency and Grant Number
Funding Agency Grant Number
National Natural Science Foundation of China 82200625
National Natural Science Foundation of China 82100595
Youth Talent Development Program YNRCQN0313
Young Scholar Fostering Fund of the First Affiliated Hospital of Nanjing Medical University PY2021023
Top Talent of Changzhou “The 14th Five-Year Plan” High-Level Health Talents Training Project 2022CZBJ051
Natural Science Foundation of Jiangsu Province, China BK20210958
Corresponding Author Xuan Li, PhD, Attending Doctor, Department of Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing 210029, Jiangsu Province, China. lixuan20091225@163.com
Key Words Early gastric cancer; Signet-ring cell carcinoma; Lymph node metastasis; Nomogram; Prediction model
Core Tip By establishing and comparing prediction models of lymph node metastasis (LNM) in early gastric cancer, we found that artificial neural network model was better than logistic regression model in sensitivity and accuracy. Among 249 signet-ring cell carcinoma (SRCC) patients, LNM was more common in mixed than in pure SRCC. A validated prediction model was also developed to recognize the risk for LNM in early gastric SRCC, which can be used to help make decisions regarding treatment of patients before performing surgery.
Publish Date 2023-06-28 10:03
Citation Yang JJ, Wang XY, Ma R, Chen MH, Zhang GX, Li X. Prediction of lymph node metastasis in early gastric signet-ring cell carcinoma: A real-world retrospective cohort study. World J Gastroenterol 2023; 29(24): 3807-3824
URL https://www.wjgnet.com/1007-9327/full/v29/i24/3807.htm
DOI https://dx.doi.org/10.3748/wjg.v29.i24.3807
Full Article (PDF) WJG-29-3807-with-cover.pdf
Full Article (Word) WJG-29-3807.docx
STROBE Statement 83633-STROBE-Statement-revision.pdf
Manuscript File 83633_Auto_Edited-LM.docx
Answering Reviewers 83633-Answering reviewers.pdf
Audio Core Tip 83633-Audio core tip.mp3
Biostatistics Review Certificate 83633-Biostatistics statement.pdf
Conflict-of-Interest Disclosure Form 83633-Conflict-of-interest statement.pdf
Copyright License Agreement 83633-Copyright license agreement.pdf
Approved Grant Application Form(s) or Funding Agency Copy of any Approval Document(s) 83633-Grant application form(s).pdf
Signed Informed Consent Form(s) or Document(s) 83633-Informed consent statement.pdf
Institutional Review Board Approval Form or Document 83633-Institutional review board statement.pdf
Non-Native Speakers of English Editing Certificate 83633-Language certificate.pdf
Peer-review Report 83633-Peer-review(s).pdf
Scientific Misconduct Check 83633-Bing-Yan JP-2.png
Scientific Editor Work List 83633-Scientific editor work list.pdf