Evidence map›Paper›PMID 41123690›Full record

ArticleWorld journal of urology2025

Evaluating the learning curve for single-port radical prostatectomy: a multi-institutional cohort analysis.

Alessio Finocchiaro, Nicolò Buffi, Muhannad Aljoulani, Mustafa Almajedi, Alex Stephens, Silvia Viganò, Alessandro Bertini, Arianna Biasatti, Fabio Maria Valenzi, Vincenzo Ficarra and 11 more

Abstract readMulticenter Study
PubMed Publisher
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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

21 authors.

Alessio FinocchiaroVattikuti Urology Institute, Henry Ford Health System, Detroit, MI, USA.ORCID http://orcid.org/0009-0006-0273-7593
Nicolò BuffiDepartment of Biomedical Sciences, Humanitas University, Milan, Italy.
Muhannad AljoulaniDepartment of Biomedical Sciences, Humanitas University, Milan, Italy.
Mustafa AlmajediDepartment of Urology, Henry Ford Macomb, Clinton Township, MI, USA.
Alex StephensPublic Health Sciences, Henry Ford Health System, Detroit, MI, US.
Silvia ViganòVattikuti Urology Institute, Henry Ford Health System, Detroit, MI, USA.
Alessandro BertiniVattikuti Urology Institute, Henry Ford Health System, Detroit, MI, USA.
Arianna BiasattiDepartment of Urology, Rush University Medical Center, Chicago, IL, USA.
Fabio Maria ValenziDepartment of Urology, University of Illinois at Chicago, Chicago, IL, USA.
Vincenzo FicarraDepartment of Clinical and Experimental Medicine, Urology section, University of Messina, Messina, Italy.
Gabriele SorceDepartment of Clinical and Experimental Medicine, Urology section, University of Messina, Messina, Italy.
Andrea SaloniaDivision of Oncology, Unit of Urology, IRCCS Ospedale San Raffaele, Vita-Salute San Raffaele University, Milan, Italy.
Alberto BrigantiDivision of Oncology, Unit of Urology, IRCCS Ospedale San Raffaele, Vita-Salute San Raffaele University, Milan, Italy.
Francesco MontorsiDivision of Oncology, Unit of Urology, IRCCS Ospedale San Raffaele, Vita-Salute San Raffaele University, Milan, Italy.
Giovanni LughezzaniDepartment of Biomedical Sciences, Humanitas University, Milan, Italy.
Srinivas VourgantiDepartment of Urology, Rush University Medical Center, Chicago, IL, USA.
Riccardo AutorinoDepartment of Urology, Rush University Medical Center, Chicago, IL, USA.
Simone CrivellaroDepartment of Urology, University of Illinois at Chicago, Chicago, IL, USA.
Ryan J NelsonMichigan Institute of Urology, Detroit, MI, USA.
Craig RogersVattikuti Urology Institute, Henry Ford Health System, Detroit, MI, USA.
Firas AbdollahVattikuti Urology Institute, Henry Ford Health System, Detroit, MI, USA. Fabdoll1@hfhs.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesSingle-port robot-assisted radical prostatectomy (SP-RARP) represents an evolution in minimally invasive surgery but introduces unique technical challenges. Existing evidence on SP-RARP learning curves is limited to single-center or single-surgeon experiences. This multicenter study aimed to define proficiency milestones for SP-RARP across multiple surgeons using robust statistical methods. MATERIALS AND

methodsWe retrospectively analyzed data from 327 patients who underwent SP-RARP performed by eight experienced multiport surgeons transitioning to the single-port platform across three U.S. centers (2019-2024). Learning curves for operative time (OT) and estimated blood loss (EBL) were evaluated using cumulative sum (CUSUM) analysis and piecewise linear regression. Piecewise multivariable logistic regression was used to adjust for confounders.

resultsOf the 327 cases, 111 were transperitoneal (TP) and 216 extraperitoneal (EP). No clear proficiency plateau was observed for the TP approach, with persistent variability in OT and EBL. In contrast, EP cases demonstrated breakpoints at 55 cases for OT (95% CI: 53.8-55.6; R² = 0.91) and 97 cases for EBL (95% CI: 92.3-101.1; R² = 0.97). Multivariable analysis confirmed a significant association between case volume and OT (p = 0.048), but not for EBL (p = 0.12).

conclusionThis is the first multicenter study to evaluate SP-RARP learning curves using CUSUM and piecewise regression. Clear proficiency thresholds were identified for the EP approach (OT at 55, EBL at 97 cases), though only OT was confirmed after adjustment. No definitive plateau was reached for the TP approach, suggesting different learning dynamics.

Indexed as

Learning CurveProstatectomyProstatic NeoplasmsRobotic Surgical ProceduresAgedClinical CompetenceCohort StudiesHumansMaleMiddle AgedRetrospective StudiesOutcomesProstate cancerSingle portSurgery

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.