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Articles Published Processes
8/25/2026 6:38:37 AM | Browse: 4 | Download: 0
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Received |
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2026-02-02 02:12 |
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Peer-Review Started |
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2026-02-02 02:15 |
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First Decision by Editorial Office Director |
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2026-03-12 08:56 |
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Return for Revision |
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2026-03-12 08:56 |
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Revised |
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2026-03-31 16:53 |
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Publication Fee Transferred |
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2026-04-28 01:47 |
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Second Decision by Editor |
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2026-04-23 02:37 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-04-23 06:34 |
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Articles in Press |
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2026-04-23 06:34 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2026-08-19 03:18 |
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Publish the Manuscript Online |
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2026-08-25 06:38 |
| 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 |
©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| 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 |
Association of prealbumin with risk of abdominal surgery and endoscopic recurrence in Crohn’s disease: A machine learning study
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Kai-Ling Xie, Gang Long, Lian-Wen Yuan and Dan Zhang |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Fundamental Research Funds for the Central Universities of Central South University |
2024ZZTS0959 |
| National Natural Science Foundation of China |
82270590 |
| Hunan Provincial Natural Science Foundation |
2025JJ50584 |
| Research Project on Degree and Graduate Education Reform at Central South University |
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| Corresponding Author |
Dan Zhang, Professor, Clinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, No. 139 Renmin Middle Road, Changsha 410011, Hunan Province, China. dunbaby@126.com |
| Key Words |
Crohn’s disease; Prealbumin; Abdominal surgery; Postoperative endoscopic recurrence; Machine learning; Predictive and personal medicine |
| Core Tip |
Serum prealbumin (PA), reflecting inflammatory and nutritional status, may serve as a pragmatic biomarker for risk stratification in Crohn’s disease. Higher PA levels were associated with lower risks of abdominal surgery and postoperative endoscopic recurrence (highest vs lowest quartile: Hazard ratio = 0.45 and 0.20, respectively). Incorporating PA into machine learning models further improved prognostic performance (C-index = 0.784 for surgery and 0.764 for recurrence). Moreover, serum PA showed approximately 70% concordance with machine learning-derived risk tiers and helped identify patients more likely to benefit from biologic therapy, thereby supporting earlier risk prediction and more individualized treatment decisions. |
| Publish Date |
2026-08-25 06:38 |
| Citation |
Xie KL, Long G, Yuan LW, Zhang D. Association of prealbumin with risk of abdominal surgery and endoscopic recurrence in Crohn’s disease: A machine learning study. World J Gastroenterol 2026; 32(36): 119629
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| URL |
https://www.wjgnet.com/1007-9327/full/v32/i36/119629.htm |
| DOI |
https://doi.org/10.3748/wjg.119629 |
Copyright © 1993-2026 Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA. All rights reserved, including rights relating to text and data mining, AI training, and similar technologies. For open-access content, the applicable copyright and licensing terms govern.
