Predictive model and prognostic insights into duodenal stump fistula following radical gastrectomy with Roux-en-Y reconstruction for gastric cancer

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 17, Issue 6

Peer-Review Report of This Article

CrossCheck and Google Search of This Article

Academic Rules and Norms of This Article

Supplementary Materials of This Article

Citation of this article

Corresponding Author of This Article

Research Domain of This Article

Article-Type of This Article

Open-Access Policy of This Article

Times Cited Counts in Google of This Article

Journal Information of This Article

Publication Name

World Journal of Gastrointestinal Surgery

ISSN

1948-9366

Publisher of This Article

Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Retrospective Cohort Study

World J Gastrointest Surg. Jun 27, 2025; 17(6): 104333
Published online Jun 27, 2025. doi: 10.4240/wjgs.v17.i6.104333

Full Size Figure Download Figure

Figure 1 Flowchart of patient selection.

Citation: Yu Y, Yamauchi S, Kaji S, Yube Y, Nasu M, Yoshimoto Y, Cheng M, Ozaki A, Watanabe T, Orita H, Ecoff K, Nojiri S, Mine S, Wu YY, Fukunaga T. Predictive model and prognostic insights into duodenal stump fistula following radical gastrectomy with Roux-en-Y reconstruction for gastric cancer. World J Gastrointest Surg 2025; 17(6): 104333
URL: https://www.wjgnet.com/1948-9366/full/v17/i6/104333.htm
DOI: https://dx.doi.org/10.4240/wjgs.v17.i6.104333

Yu Y, Yamauchi S, Kaji S, Yube Y, Nasu M, Yoshimoto Y, Cheng M, Ozaki A, Watanabe T, Orita H, Ecoff K, Nojiri S, Mine S, Wu YY, Fukunaga T. Predictive model and prognostic insights into duodenal stump fistula following radical gastrectomy with Roux-en-Y reconstruction for gastric cancer. World J Gastrointest Surg 2025; 17(6): 104333 [PMID: 40584469 DOI: 10.4240/wjgs.v17.i6.104333]

All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.