Publication Name	World Journal of Gastrointestinal Oncology
Manuscript ID	100089
Country	Russia

Received	2024-08-07 11:34
Peer-Review Started	2024-08-07 11:34
To Make the First Decision
Return for Revision	2024-11-20 10:11
Revised	2024-12-05 21:18
Second Decision	2025-02-05 02:39
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-02-05 07:08
Articles in Press	2025-02-05 07:08
Publication Fee Transferred	2025-01-14 13:08
Edit the Manuscript by Language Editor	2025-02-07 10:47
Typeset the Manuscript	2025-03-07 07:31
Publish the Manuscript Online	2025-03-25 16:18

ISSN	1948-5204 (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: https://creativecommons.org/Licenses/by-nc/4.0/
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Category	Oncology
Manuscript Type	Retrospective Study
Article Title	Machine learning for modelling and identifying risk factors of pancreatic fistula
Manuscript Source	Unsolicited Manuscript
All Author List	Mikhail B Potievskiy, Leonid O Petrov, Sergei A Ivanov, Pavel V Sokolov, Vladimir S Trifanov, Nikolai A Grishin, Ruslan I Moshurov, Peter V Shegai and Andrei D Kaprin
ORCID	Author(s) ORCID Number Mikhail B Potievskiy http://orcid.org/0000-0002-8514-8295 Leonid O Petrov http://orcid.org/0000-0001-6272-9647 Sergei A Ivanov http://orcid.org/0000-0001-7689-6032 Pavel V Sokolov http://orcid.org/0000-0002-5050-7868 Vladimir S Trifanov http://orcid.org/0000-0003-1879-6978 Nikolai A Grishin http://orcid.org/0000-0003-1703-9115 Ruslan I Moshurov http://orcid.org/0000-0002-5676-4224 Peter V Shegai http://orcid.org/0000-0001-8901-4596 Andrei D Kaprin http://orcid.org/0000-0001-8784-8415
Funding Agency and Grant Number
Corresponding Author	Mikhail B Potievskiy, MD, Center for Clinical Trails, Center for Innovative Radiological and Regenerative Technologies, FSBI “National Medical Research Radiological Center” of the Ministry of Health of the Russian Federation, Koroleva 4, Obninsk 249036, Kaluzhskaya Oblast, Russia. potievskiymikhail@gmail.com
Key Words	Pancreatoduodenectomy; Postoperative pancreatic fistula; Risk factors; Machine learning; Precision oncology
Core Tip	The study provides a machine-learning approach with a focus on medical data evaluation, based on algorithm selection. The best algorithm was CatBoost. Young age and large tumor size are associated with fistula B/C and biochemical leak development. Blood and drain amylase level increases and biochemical leak are the major risk factors of subsequent fistula B/C development.
Publish Date	2025-03-25 16:18
Citation	<p>Potievskiy MB, Petrov LO, Ivanov SA, Sokolov PV, Trifanov VS, Grishin NA, Moshurov RI, Shegai PV, Kaprin AD. Machine learning for modelling and identifying risk factors of pancreatic fistula. <i>World J Gastrointest Oncol</i> 2025; 17(4): 100089</p>
URL	https://www.wjgnet.com/1948-5204/full/v17/i4/100089.htm
DOI	https://dx.doi.org/10.4251/wjgo.v17.i4.100089

Full Article (PDF)	WJGO-17-100089-with-cover.pdf
Manuscript File	100089_Auto_Edited_030956.docx
Answering Reviewers	100089-answering-reviewers.pdf
Audio Core Tip	100089-audio.mp3
Biostatistics Review Certificate	100089-biostatistics-statement.pdf
Conflict-of-Interest Disclosure Form	100089-conflict-of-interest-statement.pdf
Copyright License Agreement	100089-copyright-assignment.pdf
Signed Informed Consent Form(s) or Document(s)	100089-informed-consent-statement.pdf
Institutional Review Board Approval Form or Document	100089-institutional-review-board-statement.pdf
Non-Native Speakers of English Editing Certificate	100089-non-native-speakers.pdf
Peer-review Report	100089-peer-reviews.pdf
Scientific Misconduct Check	100089-scientific-misconduct-check.png
Scientific Editor Work List	100089-scientific-editor-work-list.pdf
CrossCheck Report	100089-crosscheck-report.png
CrossCheck Report	100089-crosscheck-report.pdf