Evidence map›Paper›PMID 41086058›Full record

ArticleJournal of the American Academy of Orthopaedic Surgeons. Global research & reviews2025

Hinge-Knee Megaprostheses Components Wear and Corrode: A Retrospective Study of 40 Devices.

Abigail E Tetteh, Tabitha Derr, Michael A Kurtz, Gregg R Klein, Nicolas S Piuzzi, Arthur Malkani, Michael A Mont, Steven M Kurtz

Abstract read
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Article in Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Abigail E TettehFrom the Implant Research Core, Drexel University, Philadelphia, Pennsylvania (A. E. Tetteh, T. Derr, Dr. M. A. Kurtz, and Dr. S. M. Kurtz); the Orthopedic Specialists of New Jersey, Hackensack University Medical Center, Hackensack, New Jersey (Dr. G. R. Klein); the Cleveland Clinic, Cleveland, Ohio (Dr. N. S. Piuzzi); the University of Louisville, Louisville, Kentucky (Dr. A. Malkani); and the Sinai Hospital of Baltimore, The Rubin Institute for Advanced Orthopedics, Baltimore, Maryland (Dr. M. A. Mont).ORCID 0000-0002-7459-7044
Tabitha Derr
Michael A Kurtz
Gregg R Klein
Nicolas S Piuzzi
Arthur Malkani
Michael A Mont
Steven M Kurtz

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHinge-knee megaprostheses are frequently used in complex revision surgeries and are known to have higher complication and revision rates than primary total knee arthroplasties. However, the in vivo damage to the metal and polymer components of megaprostheses remains poorly understood. We, therefore, investigated the damage modes, their severity, and how they varied by implant manufacturer.

methodForty megaprostheses and associated clinical data were collected from an institutional review board-exempt retrieval program, including implants from three manufacturers. We semiquantitatively scored the in vivo damage modes on polymer and metal megaprostheses components using the Kahlenberg method. The Goldberg score was used to classify corrosion for metal-on-metal interfaces. We then analyzed the differences between damage types and device manufacturers using nonparametric statistics.

resultsWe identified and classified scratching, pitting, and burnishing as major damage modes on polyethylene inserts and abrasion, delamination, surface deformation, and embedded debris as minor damage modes. Minor damage modes markedly differed between implant cohorts (P < 0.001), whereas major damage modes did not (P > 0.05). On metal components, scratching was more prevalent than burnishing and discoloration (P < 0.001). Damage to metal tibial components differed by manufacturer (P < 0.01) and corrosion was present in varying degrees across cohorts.

conclusionIn vivo damage occurred on both metal and polyethylene megaprostheses components. Within modular taper junctions, mechanics combined with chemically based processes generated corrosion. We found minimal differences between manufacturers, except for minor polyethylene damage and tibial component damage. The rotating hinge may release metal debris when unprotected by a polyethylene bumper evidenced by burnishing.

Indexed as

Arthroplasty, Replacement, KneeKnee ProsthesisProsthesis FailureAgedCorrosionFemaleHumansMaleMetalsMiddle AgedPolyethyleneProsthesis DesignReoperationRetrospective StudiesMetalsPolyethylene

Identifiers

PMID41086058
PMCPMC12528601

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.