Prevention and management of reverse shoulder arthroplasty complications: A structured current concepts review

doi:10.5312/wjo.125587

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 17, Issue 9

This Article

(2)

(0)

(22)

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 Orthopedics

ISSN

2218-5836

Publisher of This Article

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

Review

Copyright: ©Author(s) 2026. 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.

World J Orthop. Sep 18, 2026; 17(9): 125587
Published online Sep 18, 2026. doi: 10.5312/wjo.125587

Full Size Figure Download Figure

Figure 4 Algorithm for recommended management of postoperative instability. At-risk position: Adduction, extension, and internal rotation. RSA: Reverse shoulder arthroplasty.

Citation: Elshahhat A. Prevention and management of reverse shoulder arthroplasty complications: A structured current concepts review. World J Orthop 2026; 17(9): 125587
URL: https://www.wjgnet.com/2218-5836/full/v17/i9/125587.htm
DOI: https://dx.doi.org/10.5312/wjo.125587

Elshahhat A. Prevention and management of reverse shoulder arthroplasty complications: A structured current concepts review. World J Orthop 2026; 17(9): 125587 [DOI: 10.5312/wjo.125587]

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.