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9/30/2019 2:14:06 AM | Browse: 32 | Download: 55
Publication Name World Journal of Gastroenterology
Manuscript ID 50116
Country of Manuscript Source China
Received
2019-07-04 09:31
Peer-Review Started
2019-07-05 07:52
To Make the First Decision
2019-08-05 01:45
Return for Revision
2019-08-16 08:51
Revised
2019-08-30 12:07
Second Decision
2019-09-06 12:17
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2019-09-09 05:59
Articles in Press
2019-09-09 05:59
Publication Fee Transferred
Edit the Manuscript by Language Editor
2019-09-16 02:15
Typeset the Manuscript
2019-09-27 11:18
Publish the Manuscript Online
2019-09-30 02:14
ISSN 1007-9327 (print) and 2219-2840 (online)
Open Access This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (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) 2019. Published by Baishideng Publishing Group Inc. All rights reserved.
Article Reprints For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com
Specialty Gastroenterology and Hepatology
Manuscript type Retrospective Study
Article Title Estimating the survival benefit of adjuvant therapy based on bayesian network prediction model in curative resected advanced gallbladder adenocarcinoma
Manuscript Source Unsolicited Manuscript
All Author List Zhi-Min Geng, Zhi-Qiang Cai, Zhen Zhang, Zhao-Hui Tang, Feng Xue, Chen Chen, Dong Zhang, Qi Li, Rui Zhang, Wen-Zhi Li, Lin Wang and Shu‐Bin Si
ORCID
Author(s) ORCID Number
Zhi-Min Geng http://orcid.org/0000-0003-2645-9808
Zhi-Qiang Cai http://orcid.org/0000-0002-7380-8110
Zhen Zhang http://orcid.org/0000-0003-4150-1410
Zhao-Hui Tang http://orcid.org/0000-0002-2903-8008
Feng Xue http://orcid.org/0000-0003-2941-3733
Chen Chen http://orcid.org/0000-0002-7916-7940
Dong Zhang http://orcid.org/0000-0001-8254-7568
Qi Li http://orcid.org/0000-0001-7139-8819
Rui Zhang http://orcid.org/0000-0002-1727-5524
Wen-Zhi Li http://orcid.org/0000-0002-6990-3430
Lin Wang http://orcid.org/0000-0002-9594-3989
Shu‐Bin Si http://orcid.org/0000-0003-2297-4423
Funding Agency and Grant Number
Funding Agency Grant Number
National Natural Science Foundation of China 81572420
National Natural Science Foundation of China 71871181
Key Research and Development Program of Shaanxi Province 2017ZDXM-SF-055
Correspondence To Shu‐Bin Si, PhD, Dean, Professor, Department of Industrial Engineering, School of Mechanical Engineering, Northwestern Polytechnical University, 127 West Youyi Road, Xi'an 710072, Shaanxi Province, China. sisb@nwpu.edu.cn
Keywords Gallbladder carcinoma; Bayesian network; Surgery; Adjuvant therapy; Prediction model;
Core Tip A Bayesian network model was constructed to predict the survival time for patients with advanced gallbladder carcinoma (GBC) after curative resection from the Surveillance, Epidemiology, and End Results database, with a model accuracy of 69.67%, and the area under the curve value of testing dataset was 77.72%. Adjuvant radiation, chemotherapy and T stage were ranked as the top 3 prognostic factors by importance measures. The prediction model supported the role of adjuvant therapy for advanced GBC patients after curative resection. Adjuvant chemoradiotherapy is expected to improve the survival more significantly for patients with node-positive disease.
Publish Date 2019-09-30 02:14
Citation Geng ZM, Cai ZQ, Zhang Z, Tang ZH, Xue F, Chen C, Zhang D, Li Q, Zhang R, Li WZ, Wang L, Si SB. Estimating the survival benefit of adjuvant therapy based on bayesian network prediction model in curative resected advanced gallbladder adenocarcinoma. World J Gastroenterol 2019; 25(37): 5655-5666
Url https://www.wjgnet.com/1007-9327/full/v25/i37/5655.htm
DOI https://dx.doi.org/10.3748/wjg.v25.i37.5655
Full Article (PDF) WJG-25-5655.pdf
Full Article (Word) WJG-25-5655.docx
Manuscript File 50116-Review_Edited.doc
Answering Reviewers 50116-Answering reviewers.pdf
Audio Core Tip 50116-Audio core tip.mp3
Biostatistics Review Certificate 50116-Biostatistics statement.PDF
Conflict-of-Interest Disclosure Form 50116-Conflict-of-interest statement.pdf
Copyright License Agreement 50116-Copyright license agreement.PDF
Approved Grant Application Form(s) or Funding Agency Copy of any Approval Document(s) 50116-Grant application form(s).pdf
Institutional Review Board Approval Form or Document 50116-Institutional review board statement.pdf
Non-Native Speakers of English Editing Certificate 50116-Language certificate.pdf
Peer-review Report 50116-Peer-review(s).pdf
Scientific Misconduct Check 50116-Scientific misconduct check.pdf
Scientific Editor Work List 50116-Scientific editor work list.pdf