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.
Prevention and management of reverse shoulder arthroplasty complications: A structured current concepts review
Amr Elshahhat, Department of Orthopedic Surgery, Mansoura University, Mansoura 33516, Dakahlia, Egypt
Author contributions: Elshahhat A conceived the review, performed the literature search and analysis, and drafted and approved the final manuscript.
AI contribution statement: During manuscript preparation, AI-assisted techniques were utilized for minor language refining. No AI tool was utilized to create scientific content, plan the study, or make inferences. The author takes full responsibility for the scientific content of the manuscript. This manuscript did not contain any AI-generated figures or pictures.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Corresponding author: Amr Elshahhat, MD, PhD, Lecturer, Department of Orthopedic Surgery, Mansoura University, Algomhoria Street, Mansoura 33516, Dakahlia, Egypt.
Received: July 14, 2026
Revised: July 23, 2026
Accepted: August 28, 2026
Published online: September 18, 2026
Processing time: 61 Days and 0.2 Hours
Revised: July 23, 2026
Accepted: August 28, 2026
Published online: September 18, 2026
Processing time: 61 Days and 0.2 Hours
Core Tip
Core Tip: As clinical indications for reverse shoulder arthroplasty continue to expand globally, navigating associated failures requires a highly systematic approach. This structured narrative review provides a practical timeline-based framework for the prevention and management of reverse shoulder arthroplasty complications. Such approach categorizes complications into intraoperative, early, and late postoperative phases. This article details how modern implant design’s shifts have altered complication paradigms and deliver clear actionable clinical algorithms to guide surgeons through revision procedures.