SynthesisJournal of robotic surgery2025
The learning curve of robotic-assisted total knee arthroplasty: a systematic review and meta-analysis.
Synthesis in Journal of robotic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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Who cites it
8 citing papers in PubMed.
- Time neutrality and reduced ecological burden - handheld robotic-assisted total knee arthroplasty improves operating room efficiency compared with manual total knee arthroplasty.International orthopaedics · 2026Article
- Robotic-assisted total knee arthroplasty: accuracy, clinical outcomes, complications, learning curve and cost-effectiveness: a critical clinical review.Journal of robotic surgery · 2026Review
- Learning curve in image-based robotic assisted total knee arthroplasty: a MAKO-robot experience.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2026Observational
- Real-time intraoperative motion-following robotic assistance improves efficiency and accuracy in total knee arthroplasty: a retrospective comparative study.Arthroplasty (London, England) · 2026Article
- Comparative analysis of HURWA versus MAKO robotic-assisted TKA: a prospective cohort study of surgical accuracy and clinical outcomes.Journal of robotic surgery · 2026Article
- Functional versus mechanical alignment in robotic primary total knee arthroplasty: A meta-analysis.SICOT-J · 2026Article
- Article
- Comment on: "The learning curve of robotic-assisted total knee arthroplasty: a systematic review and meta-analysis".Journal of robotic surgery · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To assess the learning curve of robotic-assisted total knee arthroplasty (RA-TKA) as well as its impact on operative time, patient-reported outcomes (PROMs), radiologic outcomes, and complications. MEDLINE, EMBASE, and CENTRAL were searched from inception to October 4, 2024, for studies with the objective of assessing RA-TKA's learning curve. The median learning curve across all studies was calculated. Meta-analyses were conducted on comparative studies reporting outcomes stratified by learning phase or comparing RA-TKA's proficiency phase with conventional total knee arthroplasty (C-TKA). Thirty-one studies (9916 knees) were analyzed. The median learning curve was 17 cases (IQR 9 to 27). Operative time across all eligible comparative studies was 14.19 min shorter in the late/proficiency phase relative to the early/learning phase (p < 0.000). For studies explicitly reporting skin incision to skin closure times, operative time was 17.03 min shorter in the late/proficiency group (p < 0.0001). No clinically significant differences in radiologic parameters were identified across RA-TKA learning and proficiency groups. There was a significant reduction in hip-knee angle outliers in favor of the RA-TKA proficiency group compared to C-TKA (OR 0.11; 95%CI 0.05, 0.27; p < 0.00001). No significant differences were demonstrated in PROMs or complications rates across learning versus proficiency groups. The adoption of RA-TKA is safe and does not result in clinically relevant differences in radiologic outcomes or PROMs across learning and proficiency phases. There is, however, a significant reduction in operative time of up to 17 min from the learning to proficiency phase, which should be factored into operative planning.Level of evidence: IV.
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Identifiers
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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.