ArticleBone & joint open2021
Can robotic technology mitigate the learning curve of total hip arthroplasty?
Article in Bone & joint open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
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
17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 20 citations in OpenAlex.
- Contemporary analysis of the learning curve for robotic-assisted total hip arthroplasty emerging technologies.Journal of robotic surgery · 2024Pooled it
- Navigating the learning curve: assessing caseload and comparing outcomes before and after the learning curve of computer-navigated total hip arthroplasty.Journal of robotic surgery · 2024Pooled it
- Mako surgical robot could improve the traditional surgical techniques of joint surgery fellows.BMC medical education · 2025Trial
- The learning curve of a novel seven-axis robot-assisted total hip arthroplasty system: a randomized controlled trial.BMC musculoskeletal disorders · 2024Trial
- Learning Curve of Robot-Assisted Total Hip Arthroplasty: Cumulative Sum Analysis.Clinics in orthopedic surgery · 2026Article
- Robot-assisted total hip arthroplasty (THA) was associated with a shorter learning curve, greater implant accuracy, and reduced team stress than conventional THA when performed by a junior surgeon: a comparative study.Journal of robotic surgery · 2026Article
- Robot-assisted total knee arthroplasty: adverse events related to the robotic system.Journal of robotic surgery · 2026Article
- Technology in Total Hip Arthroplasty: Recent Advancements.Orthopedic reviews · 2026Article
- Robot-assisted total hip arthroplasty: optimal and rapid preservation of femoral offset and operated lower limb length.Journal of robotic surgery · 2025Article
- Lower-limb muscle mass quantification and whole-body muscle loss detection using preoperative computed tomography images in patients with hip disease.International journal of computer assisted radiology and surgery · 2025Article
- Learning Curves Associated With Robotic Total Hip Arthroplasty: A Scoping Review.Orthopaedic surgery · 2025Article
- Robotic-assisted total hip arthroplasty utilizing a fluoroscopy-guided system resulted in improved intra-operative efficiency relative to a computerized tomography-based platform.Journal of robotic surgery · 2023Review
- A review of robotic-assisted total hip arthroplasty.Biomedical engineering letters · 2023Review
- Robotics in Total Hip Arthroplasty: Current Concepts.Journal of clinical medicine · 2022Review
- Handheld Navigation Improves Accuracy in Direct Anterior Total Hip Replacement.Arthroplasty today · 2022Article
- [Market overview: Robotic-assisted arthroplasty : Current robotic systems, learning curve and cost analysis].Orthopadie (Heidelberg, Germany) · 2022Review
- Abnormal spinopelvic mobility as a risk factor for acetabular placement error in total hip arthroplasty using optical computer-assisted surgical navigation system.Bone & joint open · 2022Article
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 at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsTraditionally, acetabular component insertion during total hip arthroplasty (THA) is visually assisted in the posterior approach and fluoroscopically assisted in the anterior approach. The present study examined the accuracy of a new surgeon during anterior (NSA) and posterior (NSP) THA using robotic arm-assisted technology compared to two experienced surgeons using traditional methods.
methodsProspectively collected data was reviewed for 120 patients at two institutions. Data were collected on the first 30 anterior approach and the first 30 posterior approach surgeries performed by a newly graduated arthroplasty surgeon (all using robotic arm-assisted technology) and was compared to standard THA by an experienced anterior (SSA) and posterior surgeon (SSP). Acetabular component inclination, version, and leg length were calculated postoperatively and differences calculated based on postoperative film measurement.
resultsDemographic data were similar between groups with the exception of BMI being lower in the NSA group (27.98 vs 25.2; p = 0.005). Operating time and total time in operating room (TTOR) was lower in the SSA (p < 0.001) and TTOR was higher in the NSP group (p = 0.014). Planned versus postoperative leg length discrepancy were similar among both anterior and posterior surgeries (p > 0.104). Planned versus postoperative abduction and anteversion were similar among the NSA and SSA (p > 0.425), whereas planned versus postoperative abduction and anteversion were lower in the NSP (p < 0.001). Outliers > 10 mm from planned leg length were present in one case of the SSP and NSP, with none in the anterior groups. There were no outliers > 10° in anterior or posterior for abduction in all surgeons. The SSP had six outliers > 10° in anteversion while the NSP had none (p = 0.004); the SSA had no outliers for anteversion while the NSA had one (p = 0.500).
conclusionRobotic arm-assisted technology allowed a newly trained surgeon to produce similarly accurate results and outcomes as experienced surgeons in anterior and posterior hip arthroplasty. Cite this article:
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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.