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10/28/2020 9:50:36 AM | Browse: 408 | Download: 685
Publication Name World Journal of Gastroenterology
Manuscript ID 57709
Country/Territory China
Received
2020-06-21 09:37
Peer-Review Started
2020-06-21 09:38
To Make the First Decision
Return for Revision
2020-08-21 01:13
Revised
2020-08-26 14:31
Second Decision
2020-09-22 10:18
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2020-09-22 20:36
Articles in Press
2020-09-22 20:36
Publication Fee Transferred
Edit the Manuscript by Language Editor
2020-10-10 06:32
Typeset the Manuscript
2020-10-27 03:00
Publish the Manuscript Online
2020-10-28 08:26
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) 2020. 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
Category Gastroenterology & Hepatology
Manuscript Type Meta-Analysis
Article Title Diagnostic efficacy of the Japan Narrow-band-imaging Expert Team and Pit pattern classifications for colorectal lesions: A meta-analysis
Manuscript Source Unsolicited Manuscript
All Author List Yu Zhang, Hui-Yan Chen, Xiao-Lu Zhou, Wen-Sheng Pan, Xin-Xin Zhou and Hang-Hai Pan
Funding Agency and Grant Number
Funding Agency Grant Number
Natural Science Foundation of Zhejiang Province LQ20H160061
Medical Health Science and Technology Project of Zhejiang Provincial Health Commission 2018255969
Corresponding Author Hang-Hai Pan, MD, Attending Doctor, Department of Gastroenterology, Zhejiang Provincial People’s Hospital, People's Hospital of Hangzhou Medical College, No. 158 Shangtang Road, Hangzhou 310014, Zhejiang Province, China. panhanghai@163.com
Key Words Colorectal neoplasms; Colonoscopy; Chromoendoscopy; Japan Narrow-band-imaging Expert Team; Pit pattern; Meta-analysis
Core Tip This systematic review and meta-analysis examined the diagnostic efficacy of each category of Japan Narrow-band imaging Expert Team (JNET) and Pit pattern classifications for colorectal lesions. The pooled analyses of 19227 colorectal lesions from 31 studies performed herein. The sensitivity, specificity, diagnostic odds ratio, and area under the summary receiver operating characteristic curve of each category of JNET and Pit pattern classifications were calculated. The result suggests that the diagnostic efficacy of JNET classification may be equivalent to that of Pit pattern classification. However, because of a simpler, easier, and clearer clinical application, JNET classification should be promoted for classification of colorectal lesions, and to guide the treatment strategy.
Publish Date 2020-10-28 08:26
Citation Zhang Y, Chen HY, Zhou XL, Pan WS, Zhou XX, Pan HH. Diagnostic efficacy of the Japan Narrow-band-imaging Expert Team and Pit pattern classifications for colorectal lesions: A meta-analysis. World J Gastroenterol 2020; 26(40): 6279-6294
URL https://www.wjgnet.com/1007-9327/full/v26/i40/6279.htm
DOI https://dx.doi.org/10.3748/wjg.v26.i40.6279
Full Article (PDF) WJG-26-6279.pdf
Full Article (Word) WJG-26-6279.docx
Manuscript File 57709-Review-Webster J.docx
Answering Reviewers 57709-Answering reviewers.pdf
Audio Core Tip 57709-Audio core tip.mp3
Biostatistics Review Certificate 57709-Biostatistics statement.pdf
Conflict-of-Interest Disclosure Form 57709-Conflict-of-interest statement.pdf
Copyright License Agreement 57709-Copyright license agreement.pdf
Approved Grant Application Form(s) or Funding Agency Copy of any Approval Document(s) 57709-Grant application form(s).pdf
Non-Native Speakers of English Editing Certificate 57709-Language certificate.pdf
Peer-review Report 57709-Peer-review(s).pdf
Scientific Misconduct Check 57709-Bing-Zhang L-1.png
Scientific Misconduct Check 57709-Bing-Fan JR-2.png
Scientific Misconduct Check 57709-Scientific misconduct check.pdf
Scientific Editor Work List 57709-Scientific editor work list.pdf