Publication Name	World Journal of Gastroenterology
Manuscript ID	123515
DOI	10.3748/wjg.123515
Country	United States

Category	Gastroenterology & Hepatology
Manuscript Type	Retrospective Study
Article Title	Pre-diagnostic identification of cholestatic liver diseases using integrated clinical and environmental data framework
Manuscript Source	Unsolicited Manuscript
All Author List	Nan Huo, Brian D Juran, Cui Tao and Konstantinos N Lazaridis
Funding Agency and Grant Number	Funding Agency Grant Number National Institute of Diabetes and Digestive and Kidney Diseases No. RC2 DK118619 National Institute of Diabetes and Digestive and Kidney Diseases No. R01 DK126691 National Institute of Environmental Health Sciences No. R24 ES036131 Bernard J. and Nancy C. Karwick Career Development Award
Corresponding Author	Konstantinos N Lazaridis, MD, Division of Gastroenterology and Hepatology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, United States. lazaridis.konstantinos@mayo.edu
Key Words	Data; Disease; Exposures; Machine learning; Electronic health record
Core Tip	This study examined whether environmental exposures integrated with electronic health record data could support pre-diagnostic identification of primary biliary cholangitis and primary sclerosing cholangitis.
Citation	Huo N, Juran BD, Tao C, Lazaridis KN. Pre-diagnostic identification of cholestatic liver diseases using integrated clinical and environmental data framework. World J Gastroenterol 2026; In press DOI: https://doi.org/10.3748/wjg.123515
PDF	123515-in-press.pdf

Received	2026-06-01 08:26
Peer-Review Started	2026-06-01 08:27
First Decision by Editorial Office Director
Return for Revision	2026-07-03 07:09
Revised	2026-07-16 21:05
Publication Fee Transferred	2026-08-06 12:49
Second Decision by Editor	2026-09-11 02:52
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-09-11 09:19
Articles in Press	2026-09-11 09:19
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1007-9327 (print) and 2219-2840 (online)
Open Access	This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
Copyright	©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
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