ArticleJournal of robotic surgery2025
Evaluating the trainee impact on robotic surgery learning curves: a CUSUM analysis of large series pediatric robot-assisted laparoscopic pyeloplasty.
Article 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 4 papers.
What it found
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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
4 citing papers in PubMed.
- Article
- Mastering the robot-assisted pyeloplasty learning curve: analysis of operative efficiency, safety, and functional outcomes.Journal of robotic surgery · 2025Article
- Single-center results from the first 100 robotic ureteral reimplantation in children: analysis of learning curve effects.Frontiers in surgery · 2025Article
- Learning curve in robotic surgery for ureteropelvic junction obstruction in children: how to best define a reliable learning process through CUSUM analysis.Frontiers in surgery · 2025Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Robot-assisted laparoscopic pyeloplasty (RALP) is a minimally invasive treatment for ureteropelvic junction obstruction (UPJO). The learning curves for RALP have been well-documented, primarily in post-fellowship surgeons, but the impact of trainee involvement during fellowship training remains unclear. This study aims to (1) establish a large series post-fellowship single surgeon learning curve and (2) analyze the impact of annual trainee involvement on surgical proficiency using cumulative sum (CUSUM) analysis. A retrospective review of pediatric RALP cases from July 2012 to June 2023 at a high-volume institution was conducted. Cases performed by a single post-fellowship surgeon were included. Concomitant procedures and redo surgeries were excluded. Operative time (OT) and complication rates (CR) were tracked using CUSUM analysis. The learning curves were categorized into phases: learning, competency, case-mix, and proficiency. The effect of annual fellowship trainees was analyzed by constructing normalized learning curves per academic year. A total of 220 cases were analyzed. The post-fellowship surgeon reached competency after 29 cases, with proficiency achieved after 99 cases. Trainee involvement demonstrated a characteristic "down-up-down" pattern in OT and was not associated with increased CR during each of 6 years analyzed, reflecting an initial observation phase, increased operative time during hands-on learning, and eventual improvement. In contrast, the single year without a trainee showed a continuous downward OT trend. The complication rates remained below unacceptable thresholds and case complexity influenced OT trends. CUSUM-based analysis effectively maps the RALP learning curve, revealing distinct phases of surgical proficiency and the impact of trainee involvement. The reproducible trainee learning pattern provides insights into optimizing robotic surgery education while maintaining patient safety.
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Registered trials
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