Evidence map›Paper›PMID 40515856›Full record

ArticleWorld journal of urology2025

Attaining competency and proficiency in pediatric robot-assisted laparoscopic ureteric reimplantation: a learning curve configuration using cumulative sum analysis.

Jin Kyu Kim, Nik Batra, Renee Shavnore, Konrad M Szymanski, Rosalia Misseri, Martin Kaefer, Mark P Cain, Joshua Roth, Pankaj Dangle, Kirstan Meldrum and 2 more

Abstract read
In one paragraph

Article in World journal of urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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.
Nik BatraDepartment 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.
Konrad M SzymanskiDepartment 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.
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.
Richard C RinkDepartment of Pediatric Urology, Riley Hospital for Children, Indiana University Health, 702 Barnhill Drive, Indianapolis, IN, 46202, USA.
Benjamin 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

objectivesRobot-assisted laparoscopic ureteric reimplantation (RALUR) is a minimally invasive procedure for treating vesicoureteral reflux (VUR) and congenital megaureter. Despite its benefits, the adoption of RALUR involves a significant learning curve. This study aims to evaluate the learning curve of a fellowship-trained surgeon performing RALUR using cumulative sum (CUSUM) analysis.

methodsA retrospective review of RALUR cases without concurrent procedures from July 2012 to July 2024 was conducted. Patients' clinical characteristics and surgical outcomes were assessed. The learning curve was analyzed using CUSUM for operative time (OT) and complication rates (CR), dividing the curve into three phases: learning (phase 1), competency (phase 2), and proficiency (phase 3).

resultsThere was a total of 65 eligible RALUR cases within specified time-period (38 bilateral). There was an overall median follow up of 16.8 months (IQR 8.2-39.4). The overall reoperation rates were 6.2% (4/65). CUSUM-OT peaked at case 23, indicating the end of the learning phase, and progression to competency (phase 2). By case 40, the surgeon achieved proficiency, with continued improvement in CUSUM-CR. Increased case complexity and trainee involvement in phase 3 did not adversely affect patient outcomes. Mention traditional OT analysis finding.

conclusionThe learning curve for RALUR can be effectively mapped using CUSUM analysis, with technical competency reached by the 24th case. Patient safety was not compromised during the learning process of trainees. Future research should include multi-institutional studies and simulation-based training to generalize findings and enhance surgical training programs.

Indexed as

Clinical CompetenceLaparoscopyLearning CurveReplantationRobotic Surgical ProceduresUreterUrologic Surgical ProceduresVesico-Ureteral RefluxChildChild, PreschoolFemaleHumansInfantMaleRetrospective StudiesCUSUMLearning curvePediatricRALURRobot-assisted laparoscopic ureteral reimplantation

Identifiers

PMID40515856
PMCPMC12167274

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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.