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9/14/2023 3:00:54 PM | Browse: 144 | Download: 307
Publication Name World Journal of Gastroenterology
Manuscript ID 86626
Country Germany
2023-06-28 12:56
Peer-Review Started
2023-06-28 12:58
To Make the First Decision
Return for Revision
2023-07-23 21:30
2023-08-06 14:41
Second Decision
2023-08-28 03:09
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2023-08-28 16:54
Articles in Press
2023-08-28 16:54
Publication Fee Transferred
Edit the Manuscript by Language Editor
2023-08-20 13:08
Typeset the Manuscript
2023-09-08 08:38
Publish the Manuscript Online
2023-09-14 14:58
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
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 Retrospective Study
Article Title Machine learning-based decision tool for selecting patients with idiopathic acute pancreatitis for endosonography to exclude a biliary aetiology
Manuscript Source Unsolicited Manuscript
All Author List Simon Sirtl, Michal Żorniak, Eric Hohmann, Georg Beyer, Miriam Dibos, Annika Wandel, Veit Phillip, Christoph Ammer-Herrmenau, Albrecht Neesse, Christian Schulz, Jörg Schirra, Julia Mayerle and Ujjwal Mukund Mahajan
Funding Agency and Grant Number
Funding Agency Grant Number
Deutsche Forschungsgemeinschaft (German Research Foundation) 413635475
United European Gastroenterology Research Fellowship
Corresponding Author Julia Mayerle, MD, Professor, Department of Medicine II, LMU University Hospital, Marchioninistraße 15, Munich 81377, Germany. julia.mayerle@med.uni-muenchen.de
Key Words Acute pancreatitis; Idiopathic acute pancreatitis; Biliary pancreatitis; Microlithiasis; Sludge; Endosonography
Core Tip Occult biliary lithiasis represents the largest monocausally treatable aetiology group within idiopathic acute pancreatitis cases. The identification of this subgroup protects patients from pancreatitis recurrences and over- or underdiagnosis. Based on 28 easy-to-collect and widely available patient variables, a machine learning-based prediction score can be used to predict the presence or absence of biliary sludge or microlithiasis in the context of pancreatitis hospitalisation. We provide a web-based prediction tool to select patients for endosonography to investigate microlithiasis or sludge as the cause of pancreatitis and treat them accordingly.
Publish Date 2023-09-14 14:58
Citation Sirtl S, Żorniak M, Hohmann E, Beyer G, Dibos M, Wandel A, Phillip V, Ammer-Herrmenau C, Neesse A, Schulz C, Schirra J, Mayerle J, Mahajan UM. Machine learning-based decision tool for selecting patients with idiopathic acute pancreatitis for endosonography to exclude a biliary aetiology. World J Gastroenterol 2023; 29(35): 5138- 5153
URL https://www.wjgnet.com/1007-9327/full/v29/i35/5138.htm
DOI https://dx.doi.org/10.3748/wjg.v29.i35.5138
Full Article (PDF) WJG-29-5138-with-cover.pdf
Full Article (Word) WJG-29-5138.docx
Manuscript File 86626_Auto_Edited-LM.docx
Answering Reviewers 86626-Answering reviewers.pdf
Audio Core Tip 86626-Audio core tip.m4a
Biostatistics Review Certificate 86626-Biostatistics statement.pdf
Conflict-of-Interest Disclosure Form 86626-Conflict-of-interest statement.pdf
Copyright License Agreement 86626-Copyright license agreement.pdf
Approved Grant Application Form(s) or Funding Agency Copy of any Approval Document(s) 86626-Grant application form(s).pdf
Signed Informed Consent Form(s) or Document(s) 86626-Informed consent statement.pdf
Institutional Review Board Approval Form or Document 86626-Institutional review board statement.pdf
Non-Native Speakers of English Editing Certificate 86626-Language certificate.pdf
Video 86626-Video core tip.mp4
Supplementary Material 86626-Supplementary material.pdf
Peer-review Report 86626-Peer-review(s).pdf
Scientific Misconduct Check 86626-Bing-Wang JJ-2.png
Scientific Editor Work List 86626-Scientific editor work list.pdf
CrossCheck Report 86626-CrossCheck report.pdf