Nomogram to predict gas-related complications during transoral endoscopic resection of upper gastrointestinal submucosal lesions

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 15, Issue 11

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 Endoscopy

ISSN

1948-5190

Publisher of This Article

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

Retrospective Cohort Study

World J Gastrointest Endosc. Nov 16, 2023; 15(11): 649-657
Published online Nov 16, 2023. doi: 10.4253/wjge.v15.i11.649

Full Size Figure Download Figure

Figure 2 Nomogram of predicted likelihood of gas-related complications.

Citation: Yang J, Chen ZG, Yi XL, Chen J, Chen L. Nomogram to predict gas-related complications during transoral endoscopic resection of upper gastrointestinal submucosal lesions. World J Gastrointest Endosc 2023; 15(11): 649-657
URL: https://www.wjgnet.com/1948-5190/full/v15/i11/649.htm
DOI: https://dx.doi.org/10.4253/wjge.v15.i11.649

Yang J, Chen ZG, Yi XL, Chen J, Chen L. Nomogram to predict gas-related complications during transoral endoscopic resection of upper gastrointestinal submucosal lesions. World J Gastrointest Endosc 2023; 15(11): 649-657 [PMID: 38073760 DOI: 10.4253/wjge.v15.i11.649]

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.