ArticleCurrent urology2022
Determining the component-based operative time learning curve for robotic-assisted radical prostatectomy.
Article in Current urology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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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.
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Who cites it
8 citing papers in PubMed, 6 citations in OpenAlex.
- Learning Curve and Video-Based Technical Assessment of a Standardized Vesicourethral Anastomosis in Novice Robotic Surgeons.Current oncology (Toronto, Ont.) · 2026Article
- Deep-learning segmentation to guide bladder neck recognition in robot-assisted radical prostatectomy.BJU international · 2026Article
- Article
- Unveiling predictors of positive surgical margins in Retzius-sparing and anterograde robot-assisted radical prostatectomy: insights from a dual-centre learning curve experience.Journal of robotic surgery · 2025Article
- Learning Curves in Robotic Urological Oncological Surgery: Has Anything Changed During the Last Five Years?Cancers · 2025Review
- Learning curve of multiple surgeons for robot-assisted radical prostatectomy using the cumulative sum method: a retrospective single-institution study.Journal of robotic surgery · 2024Article
- A multi-docking strategy for robotic LAR and deep pelvic surgery with the Hugo RAS system: experience from a tertiary referral center.International journal of colorectal disease · 2024Article
- "Single-Surgeon" versus "Dual-Surgeon" Robot-Assisted Radical Prostatectomy and Pelvic Lymph-nodes Dissection: Comparative Analysis of Perioperative Outcomes.International braz j urol : official journal of the Brazilian Society of UrologyArticle
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: To determine the learning curve (LC) of total operative time and the discrete components of the robotic-assisted radical prostatectomy (RARP) for a recent robotic fellowship-trained urologic surgeon. Materials and methods: We performed a retrospective analysis of RARP procedures performed by a single new attending surgeon from August 2015 to April 2019. Patients' demographics and operative details were assessed. Total operative time was divided and prospectively recorded in 7 parts: ( Results: One hundred twenty consecutive RARPs were performed. The LC was overcome at 25 cases for total operative time, 13 cases for docking the robot, 33 cases for dissecting SVs, 31 cases for dissecting EPF, 46 cases for incising BN, 38 cases for prostate dissection, 25 cases for lymph node dissection, and 52 cases for UVA. Total operative time was decreased 22.8% ( Conclusions: We observed a 25-case LC for a fellowship-trained urologist to achieve stable operative performance of RARP surgery. Procedural components demonstrated variable LCs including the UVA that required upward of 52 cases.
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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.