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Updated: Aug 24, 2025

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Measuring 3D In-vivo Shoulder Kinematics using Biplanar Videoradiography
Published on: March 12, 2021
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Shoulder arthroplasty device clearance: an ancestral network analysis.
Andrew Zhu1, Xiaohan Ying2, Edward G Carey3
1Weill Cornell Medical College, New York, NY, USA.
Journal of Shoulder and Elbow Surgery
|October 24, 2022
Summary
Modern shoulder implants are linked to older designs through the FDA 510(k) pathway, with many recent devices relying on predicates that were later recalled due to design flaws. This highlights potential risks in the medical device approval process.
Area of Science:
- Orthopedic Surgery
- Biomedical Engineering
- Regulatory Science
Background:
- The U.S. Food and Drug Administration (FDA) regulates medical devices, with most shoulder arthroplasty devices cleared via the 510(k) pathway.
- This pathway requires demonstrating "substantial equivalence" to a predicate device, raising questions about long-term safety and design evolution.
Purpose of the Study:
- To map the interconnected network of shoulder arthroplasty devices approved through the FDA 510(k) process.
- To identify equivalency links between current devices and those later recalled for design-related issues.
Main Methods:
- Analyzed the FDA 510(k) database for shoulder arthroplasty devices marketed from 1976 to 2021.
- Constructed an ancestral genealogy network using predicate information for devices cleared between 2020-2021.
- Assessed FDA design recalls and calculated the number of descendant devices for each recalled implant.
Main Results:
- Of 476 shoulder arthroplasty devices cleared since 1976, 80 (16.8%) were recalled, with 10 due to design flaws.
- Among the 29 most recently cleared devices (2020-2021), 16 (55.2%) used predicates that were later withdrawn for design failures.
Conclusions:
- Shoulder arthroplasty devices form a complex network linked by FDA 510(k) approvals dating back to 1976.
- Despite design and material changes, many modern devices claim predicates based on recalled prostheses, indicating potential systemic issues.

