Evidence map›Paper›PMID 41227286›Full record

ArticleJournal of clinical medicine2025

Bone-Preserving Robotic Conversion of Medial UKA to TKA: A Step-by-Step Technique.

Jaad Mahlouly, Alexander Antoniadis, Thibaut Royon, Julien Wegrzyn

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jaad MahloulyDepartment of Orthopedic Surgery and Trauma, Lausanne University Hospital and University of Lausanne, 1005 Lausanne, Switzerland.ORCID 0000-0001-8014-9478
Alexander AntoniadisDepartment of Orthopedic Surgery and Trauma, Lausanne University Hospital and University of Lausanne, 1005 Lausanne, Switzerland.
Thibaut RoyonDepartment of Orthopedic Surgery and Trauma, Lausanne University Hospital and University of Lausanne, 1005 Lausanne, Switzerland.ORCID 0009-0004-3705-1765
Julien WegrzynDepartment of Orthopedic Surgery and Trauma, Lausanne University Hospital and University of Lausanne, 1005 Lausanne, Switzerland.ORCID 0000-0003-0194-8664

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Converting a medial unicompartmental knee arthroplasty (UKA) to total knee arthroplasty (TKA) presents challenges in bone preservation, alignment, and soft-tissue balance. Robotic assistance enables three-dimensional CT-based planning, precise bone preparation, and real-time ligament balance assessment, thereby supporting a bone-preserving approach. We describe a stepwise workflow using the Mako system (Stryker) to convert a failed medial UKA to a condylar-stabilizing (CS) Triathlon TKA within a functional alignment framework. Pre-explantation registration on the in situ components maintains accuracy despite potential metallic artifacts. The polyethylene insert is briefly removed solely to access reference surfaces, then registration landmarks are acquired directly on the metal components along the marked central sagittal axis. The insert is reinserted to enable dynamic intraoperative balance evaluation. After component removal, a small medial tibial or femoral defect can be filled with autologous cancellous bone graft from the resected bone surfaces. Definitive cementless components are implanted without stems or augments, and the patella is resurfaced. This technique provides a reproducible robotic workflow for UKA-to-TKA conversion in selected cases with preserved bone stock and stable soft-tissue balance and facilitates accurate and reproducible conversion with optimal bone preservation.

Indexed as

bone graftingCT-based planningfunctional alignmentprimary cementless componentsrobotic-assisted TKAUKA revision

Identifiers

PMID41227286
PMCPMC12608132

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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.