ArticleJournal of robotic surgery2026
Learning curve of single-port robot-assisted simple prostatectomy: a risk-adjusted CUSUM analysis.
Article in Journal of robotic surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Development and validation of objective performance metrics for robot-assisted basic surgical skills in a simulated anastomosis task using a single-port robotic system.Journal of robotic surgery · 2026Article
- Feasibility and safety of single-port transvesical simple prostatectomy in patients with very large prostates: A volume-stratified analysis.Prostate cancer and prostatic diseases · 2026Article
- From technical validation to functional preservation in robot-assisted simple prostatectomy: a bibliometric and thematic evolution analysis.Journal of robotic surgery · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo evaluate the learning curve of robotic-assisted simple prostatectomy (RASP) using a transvesical approach and to identify the impact of patient-related factors, such as prostatic volume and Body Mass Index (BMI), on operative efficiency. MATERIALS AND
methodsA retrospective analysis of 103 consecutive RASP procedures performed by a single surgeon was conducted. A multiple linear regression model was developed to calculate predicted operative times adjusted for prostatic volume and BMI. Risk-adjusted Cumulative Sum (RA-CUSUM) analysis was applied to the residuals to characterize the learning curve. Perioperative outcomes were compared across the identified phases using the χ² test or Fisher's exact test for categorical variables and one-way ANOVA or the Kruskal-Wallis test for continuous variables.
resultsBoth prostatic volume (p < 0.001) and BMI (p = 0.029) were independent predictors of operative duration. The RA-CUSUM analysis identified a learning phase (cases 1-33), a proficiency phase (34-73), and a consolidation phase (74-103). Significant improvements were observed across phases for median operative time (210 vs. 176 vs. 190 min, p = 0.011) and median length of stay (11 vs. 9 vs. 9 h, p < 0.001). No significant differences were found regarding complications or functional outcomes.
conclusionsProficiency in robotic transvesical simple prostatectomy is achieved after approximately 33 cases, with technical consolidation occurring after the 75th procedure. The transvesical approach provides direct access that may mitigate the technical challenges associated with high BMI, although prostatic volume remains the primary driver of operative duration.
Indexed as
Identifiers
What OpenQuestion holds
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.