ArticleOrthopaedic surgery2025
Learning Curves Associated With Robotic Total Hip Arthroplasty: A Scoping Review.
Article in Orthopaedic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Validation of the Accuracy of Robotic Arm-Assisted Total Hip Arthroplasty After Rotational Acetabular Osteotomy: A Propensity-Matched Controlled Study.Arthroplasty today · 2026Article
- Learning Curve of Robot-Assisted Total Hip Arthroplasty: Cumulative Sum Analysis.Clinics in orthopedic surgery · 2026Article
- Robotic-assisted and AI-augmented arthroplasty: converging technologies in joint replacement.Journal of robotic surgery · 2026Review
- Global research hotspots and emerging trends in orthopedic robotic surgery: a comprehensive bibliometric analysis.Journal of robotic surgery · 2026Review
- Learning Curves Associated With Robotic Total Hip Arthroplasty: A Scoping Review.Orthopaedic surgery · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionRobotic total hip arthroplasty (rTHA) is gaining widespread adoption, yet the learning curve (LC) associated with its implementation remains uncertain. Understanding LCs is crucial to optimizing training protocols and improving patient outcomes. This scoping review assesses LCs in rTHA by evaluating operative time, leg length discrepancy (LLD), and acetabular component inclination (ACI).
methodsA systematic search was conducted across PubMed, MEDLINE, Embase, Scopus, and Web of Science following PRISMA guidelines. Studies assessing the LC of rTHA based on operative efficiency, radiographic accuracy, and surgical outcomes were included.
resultsA total of 12 studies were included. Improvements in operative time were observed at a median of 13 cases, ranging from 7 to 35 cases. Both LLD and ACI findings were inconsistent, with little evidence of a LC found in the literature.
conclusionThis review highlights the learning curve in rTHA, with proficiency improving after early cases. Standardized benchmarks and training models could enhance learning and enable comparisons across robotic systems. Future research should refine proficiency thresholds, assess system differences, and develop structured training for optimal rTHA adoption.
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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.