ReviewJournal of robotic surgery2025
Impact of robotic total hip and knee arthroplasty on resident and fellow training in orthopedic surgery.
Review 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 2 papers.
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.
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
2 citing papers in PubMed.
- Beyond Precision: Why the Future of Robotic Joint Arthroplasty Demands Continued Research.Arthroplasty today · 2026Article
- Transferability of robotic surgical proficiency across platforms in knee replacement: analysis of the early learning curve in an experienced surgeon.Journal of robotic surgery · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Robotic-assisted total joint arthroplasty (RA-TJA) has experienced rapid growth in adoption and is reshaping orthopedic surgical practice. Despite offering potential for improved precision, reproducibility, and intraoperative feedback, its integration into orthopedic training has raised questions about educational equity and quality, manual skill development, and trainee autonomy. This review examines the educational implications of RA-TJA on orthopedic residency and fellowship training. The goal is to synthesize existing literature on RA-TJA impact on technical skill acquisition, surgical exposure, operative autonomy, and cognitive engagement, with attention to global disparities and the role of simulation in modern training models. A narrative literature review was conducted, focusing on empirical studies, trainee surveys, and expert opinion related to robotic systems in arthroplasty education. Specific attention was given to competency-based medical education (CBME) frameworks, intraoperative performance metrics, simulation-based learning, and institutional variability. Robotic systems facilitate early technical proficiency by offering structured intraoperative workflows and objective metrics, aligning well with CBME. These platforms enhance resident involvement in preoperative planning and spatial understanding but may inadvertently reduce manual versatility and intraoperative decision-making without complementary training in conventional techniques. Trainee autonomy varies significantly by institution, and access to RA-TJA during post-graduate medical education remains inconsistent. Simulation technologies, particularly virtual reality, represent scalable solutions to bridge training gaps but require standardized integration, assessment models, and certification pathways. RA-TJA presents both opportunities and challenges for orthopedic education. Its successful implementation requires deliberate curricular design, hybrid exposure to both robotic and manual techniques, and equitable access to simulation-based resources. Moving forward, training standardization, integration of performance-based progression metrics, and global cooperation will be essential to preparing orthopedic surgeons for the evolving digital surgical landscape.
Indexed as
Identifiers
What OpenQuestion holds
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.