Evidence map›Paper›PMID 40106060›Full record

ArticleJournal of robotic surgery2025

Evaluating the trainee impact on robotic surgery learning curves: a CUSUM analysis of large series pediatric robot-assisted laparoscopic pyeloplasty.

Jin Kyu Kim, Nikhil V Batra, Konrad M Szymanski, Renee Shavnore, Rosalia Misseri, Martin Kaefer, Mark P Cain, Richard C Rink, Joshua Roth, Pankaj Dangle and 2 more

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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.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Jin Kyu KimDepartment of Pediatric Urology, Riley Hospital for Children, Indiana University Health, 702 Barnhill Drive, Indianapolis, IN, 46202, USA. kimjink@iu.edu.
Nikhil V BatraDepartment of Pediatric Urology, Riley Hospital for Children, Indiana University Health, 702 Barnhill Drive, Indianapolis, IN, 46202, USA.
Konrad M SzymanskiDepartment of Pediatric Urology, Riley Hospital for Children, Indiana University Health, 702 Barnhill Drive, Indianapolis, IN, 46202, USA.
Renee ShavnoreDepartment of Pediatric Urology, Riley Hospital for Children, Indiana University Health, 702 Barnhill Drive, Indianapolis, IN, 46202, USA.
Rosalia MisseriDepartment of Pediatric Urology, Riley Hospital for Children, Indiana University Health, 702 Barnhill Drive, Indianapolis, IN, 46202, USA.
Martin KaeferDepartment of Pediatric Urology, Riley Hospital for Children, Indiana University Health, 702 Barnhill Drive, Indianapolis, IN, 46202, USA.
Mark P CainDepartment of Pediatric Urology, Riley Hospital for Children, Indiana University Health, 702 Barnhill Drive, Indianapolis, IN, 46202, USA.
Richard C RinkDepartment of Pediatric Urology, Riley Hospital for Children, Indiana University Health, 702 Barnhill Drive, Indianapolis, IN, 46202, USA.
Joshua RothDepartment of Pediatric Urology, Riley Hospital for Children, Indiana University Health, 702 Barnhill Drive, Indianapolis, IN, 46202, USA.
Pankaj DangleDepartment of Pediatric Urology, Riley Hospital for Children, Indiana University Health, 702 Barnhill Drive, Indianapolis, IN, 46202, USA.
Kirstan MeldrumDepartment of Pediatric Urology, Riley Hospital for Children, Indiana University Health, 702 Barnhill Drive, Indianapolis, IN, 46202, USA.
Benjamin M WhittamDepartment of Pediatric Urology, Riley Hospital for Children, Indiana University Health, 702 Barnhill Drive, Indianapolis, IN, 46202, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Clinical CompetenceKidney PelvisLaparoscopyLearning CurveRobotic Surgical ProceduresUreteral ObstructionUrologic Surgical ProceduresChildChild, PreschoolFellowships and ScholarshipsFemaleHumansMaleOperative TimeRetrospective StudiesSurgeonsCUSUMLearning curvePediatricRALPRobot-assisted laparoscopic pyeloplasty

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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.