Abstract
Introduction
The introduction of novel robotic platforms has expanded surgical options for robot-assisted radical prostatectomy (RARP). However, comparative outcomes with da Vinci multiport (MP) system remain unclear. This systematic review and network meta-analysis aimed to compare perioperative, early oncological, and functional outcomes of RARP performed with novel robotic platforms versus the da Vinci MP system.
Methods
A systematic literature search was conducted in PubMed, Scopus, and Embase (updated December 22, 2024) following PRISMA guidelines. Eligible studies compared RARP performed with alternative robotic platforms versus da Vinci MP, reporting perioperative, oncological, or functional outcomes. A network meta-analysis was conducted using a random-effects model. Outcomes were expressed as mean differences for continuous variables and odds ratios (OR) for dichotomous variables, with 95% confidence intervals (CI).
Results
Thirty-three studies for a total of 5987 patients were included. Compared to da Vinci MP, da Vinci SP had lower odds of lymph node dissection (OR 0.39, 95% CI 0.26–0.61) and nerve-sparing (OR 0.11, 95% CI 0.02–0.61) but was associated with shorter catheterization (−1.18 days, 95% CI −2.05 to -0.31) and hospital stay (−0.68 days, 95% CI −1.05 to −0.31). Versius, KangDuo, and SHURUI SP had significantly longer operative times (MD 74.00, 95% CI 42.49–105.51; MD 53.96, 95% CI 18.26–89.67; MD 103.88, 95% CI 69.99–137.78, respectively). Hugo RAS had higher intraoperative malfunction rates (OR 6.53, 95% CI 2.17–19.63). Positive surgical margin rates were lower for da Vinci SP (OR 0.70, 95% CI 0.53–0.92) but higher with the perineal approach (OR 6.30, 95% CI 1.53–25.94). PSA persistence, biochemical recurrence, continence and erectile function rates were comparable across platforms.
Conclusion
This is the first network meta-analysis comparing robotic platforms for RARP. While perioperative differences exist, oncological and functional outcomes appear comparable. Future studies should address learning curve effects, cost-effectiveness, and long-term functional outcomes to optimize robotic platform selection.
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Francesco Chierigo certifies that all conflicts of interest, including specific financial interests and relationships and affiliations relevant to the subject matter or materials discussed in the manuscript (eg, employment/affiliation, grants or funding, consultancies, honoraria, stock ownership or options, expert testimony, royalties, or patents filed, received, or pending), are the following: None.
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Francesco Chierigo had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Francesco Chierigo: Study concept and design, Acquisition of data, Analysis and interpretation of data, Drafting of the manuscript, Statistical analysis. Giuseppe Fallara: Study concept and design, Analysis and interpretation of data, Drafting of the manuscript. Massimiliano Depalma: Acquisition of data, Drafting of the manuscript. Marco Tozzi: Study concept and design, Acquisition of data. Alberto Quistini: Acquisition of data. Roberto Bianchi: Critical revision of the manuscript for important intellectual content, Supervision. Martina Maggi: Critical revision of the manuscript for important intellectual content, Supervision. Guglielmo Mantica: Supervision. Cosimo De Nunzio: Supervision. Rocco Damiano: Supervision. Alessandro Veccia: Supervision. Alessandro Antonelli: Supervision. Francesco Porpiglia: Supervision. Pierre Karakiewicz: Critical revision of the manuscript for important intellectual content, Supervision. Riccardo Autorino: Critical revision of the manuscript for important intellectual content, Supervision. Bernardo Rocco: Supervision. Matteo Ferro: Study concept and design, Critical revision of the manuscript for important intellectual content, Supervision.
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Chierigo, F., Fallara, G., Depalma, M. et al. Outcomes of robot-assisted radical prostatectomy with novel robotic platforms vs da Vinci multiport systems: a systematic review and network meta-analysis. Prostate Cancer Prostatic Dis (2025). https://doi.org/10.1038/s41391-025-01023-1
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DOI: https://doi.org/10.1038/s41391-025-01023-1