Publication Name	World Journal of Gastroenterology
Manuscript ID	86626
Country	Germany

Received	2023-06-28 12:56
Peer-Review Started	2023-06-28 12:58
First Decision by Editorial Office Director	2023-07-23 21:30
Return for Revision	2023-07-23 21:30
Revised	2023-08-06 14:41
Publication Fee Transferred
Second Decision by Editor	2023-08-28 03:09
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2023-08-28 16:54
Articles in Press	2023-08-28 16:54
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/
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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
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