ArticleCureus2024
Precision in Total Knee Replacement: A Technical Note on the VELYS Robotic-Assisted Tibial-Femoral Approach.
Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
Who cites it
1 citing paper in PubMed.
- Intraoperative landmarking errors and their avoidance in robotic-assisted total knee arthroplasty using the VELYS system.Journal of experimental orthopaedics · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The VELYS robotic-assisted system (DePuy Synthes, Warsaw, IN, USA) in total knee replacement (TKR) enables precise bone registration and resection, reducing manual errors and minimizing soft tissue injury compared to conventional methods. This method will provide a more accurate implant position with a better postoperative range of motion (ROM). This technical note describes the steps in performing robotic-assisted TKR using the VELYS with a tibial-femoral approach. In more detail, this article will discuss surgical exposure and creating bone checkpoints and landmark acquisitions, tibial-femoral resection, and implant placement. Despite the existing benefits, the long-term advantages still need further investigation.
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Registered trials
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.