Robotic-assisted conversion of unicompartmental to total knee arthroplasty: a systematic review.

J Robot SurgOct 15, 2026 (epub)
Clinical ResearchOrthopedic SurgeryOpen access

Carmelo Burgio, Steven G Persaud, Francesco Bosco et al.

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In 30 seconds

This PRISMA-guided systematic review assessed robotic-assisted conversion of unicompartmental knee arthroplasty (UKA) to total knee arthroplasty (TKA). Five studies included 136 patients (140 knees), with mean follow-up of 20.9 months; evidence was Level IV. No conversion to manual technique was reported. Augments were used in 13.6% of cases and stems in 3.6%, while reported implant survivorship ranged from 93.2% to 100% at up to 3.6 years. Functional outcomes generally improved, but the authors note that longer-term studies are needed to establish durability.

Key findings

  • No intraoperative conversion from robotic assistance to manual technique occurred across the included cases.
  • Augments were required in 13.6% of cases and stems in 3.6%.
  • Range of motion improved to 119-130° flexion with full extension; patient-reported outcomes also improved.
  • Implant survivorship ranged from 93.2% to 100% at up to 3.6 years of follow-up.

Why it matters

Conversion from UKA to TKA can involve altered anatomy and bone loss. This review suggests robotic assistance can be used consistently in these technically challenging procedures, with relatively infrequent reported use of augments or stems and favorable short-term functional and survivorship findings. These results help characterize current evidence while underscoring that durability beyond the reported follow-up remains uncertain.

What to keep in mind

The review included only five studies and 136 patients (140 knees), with Level IV evidence and mean follow-up of 20.9 months. Longer-term durability is not established.

Source

Published in J Robot Surg. This summary was written by xxcode from the publication's abstract and metadata. It is not peer reviewed and is not a substitute for the original article. For clinical decisions, review the original publication.

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AI-generated summaries may contain errors or omissions. Verify clinically important information with the original publication.

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