New 14-mm diameter Niti-S biliary uncovered metal stent for unresectable distal biliary malignant obstruction

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 10, Issue 1

Peer-Review Report of This Article

CrossCheck and Google Search of This Article

Academic Rules and Norms 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. Jan 16, 2018; 10(1): 16-22
Published online Jan 16, 2018. doi: 10.4253/wjge.v10.i1.16

Table 4 Complications other than recurrent biliary obstruction

Complications	11/38 (28.9%)	Time to event (d)
Acute cholecystitis	4 (10.3)	3, 32, 217, 487
PEP	3 (7.9)	1 (each)
Hemorrhage	2 (5.3)	92, 119
Fever without exacerbation of liver injury	1 (2.6)	1
Liver abscess	1 (2.6)	17

PEP: Post-ERCP pancreatitis; ERCP: Endoscopic retrograde cholangiopancreatography.

Citation: Kikuyama M, Shirane N, Kawaguchi S, Terada S, Mukai T, Sugimoto K. New 14-mm diameter Niti-S biliary uncovered metal stent for unresectable distal biliary malignant obstruction. World J Gastrointest Endosc 2018; 10(1): 16-22
URL: https://www.wjgnet.com/1948-5190/full/v10/i1/16.htm
DOI: https://dx.doi.org/10.4253/wjge.v10.i1.16

Kikuyama M, Shirane N, Kawaguchi S, Terada S, Mukai T, Sugimoto K. New 14-mm diameter Niti-S biliary uncovered metal stent for unresectable distal biliary malignant obstruction. World J Gastrointest Endosc 2018; 10(1): 16-22 [PMID: 29375737 DOI: 10.4253/wjge.v10.i1.16]

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.