ArticleInternational journal of colorectal disease2024
A multi-docking strategy for robotic LAR and deep pelvic surgery with the Hugo RAS system: experience from a tertiary referral center.
Article in International journal of colorectal disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07541352 (The Hugo RAS Colorectal Collaborative), which is not on this map. Cited by 19 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
The Hugo RAS Colorectal Collaborative (HRCC): An International Study to Advance Minimally Invasive Surgery
Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of global experiences with Medtronic's Hugo™ robotic system for robot-assisted partial nephrectomy.Journal of robotic surgery · 2025Pooled it
- Operative workflow characterization of the Hugo robotic-assisted surgery and da Vinci Multiport systems in left-sided colorectal surgery: a single-institution pilot analysis.Journal of minimally invasive surgery · 2026Article
- Hugo RAS Versus Da Vinci in Colorectal Surgery: A Systematic Review and Outcome Meta-Analysis.Journal of clinical medicine · 2026Review
- Outcomes of restorative proctectomy and ileal pouch-anal anastomosis: a matched-cohort analysis of robot-assisted, laparoscopic, and open surgery.Surgical endoscopy · 2026Article
- Robot-assisted surgery for colorectal cancer using the Hugo™ RAS system: an observational study with the initial 118 cases and a literature review.Surgery today · 2026Article
- A systematic literature review of colorectal robotic surgery with the Hugo robotic-assisted surgery (RAS) system: feasibility, safety, and clinical applications.Annals of coloproctology · 2026Review
- Global Evolution of Robotic Colorectal Surgery: Lessons from Hong Kong's Innovation and Implementation.Cancers · 2026Review
- European Delphi consensus on specific training, implementation requirements, and clinical use for the Hugo™ robotic-assisted surgery platform in colorectal procedures.International journal of colorectal disease · 2026Article
- Multicenter international experience with the Hugo™ RAS platform in colorectal surgery: reproducibility and real-world outcomes from the COLOROBOT IBERICA study.Journal of robotic surgery · 2026Article
- Age disparity in robotic colorectal surgery: overcoming surgeon hesitancy to improve elderly patient outcomes.Journal of robotic surgery · 2026Article
- Functional, oncologic and clinical outcomes of robotic rectal resection using the Hugo™ RAS system versus laparoscopic surgery: A comparative cohort study.International journal of colorectal disease · 2026Observational
- Single-incision plus one robot-assisted surgery (SIPORS) using the Hugo robotic-assisted surgery (RAS) system for rectal cancer.Annals of coloproctology · 2025Article
- Single-portAnnals of surgical treatment and research · 2025Article
- Splenic flexure resection with Hugo™ RAS: Trocar placement, docking settings, and surgical strategy.Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland · 2025Article
- Application of the Hugo™ RAS robotic system in general surgery: a scoping review.Journal of robotic surgery · 2025Article
- Article
- Robotic proctocolectomy with ileal pouch-anal anastomosis: a hybrid approach.International journal of colorectal disease · 2025Article
- Robot-Assisted Total Proctocolectomy for Familial Adenomatous Polyposis with Multiple Colorectal Cancers Using the Hugo RAS System.Surgical case reports · 2025Article
- The application of augmented reality in robotic general surgery: A mini-review.Open medicine (Warsaw, Poland) · 2025Review
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
introductionIn June 2023, our institution adopted the Medtronic Hugo RAS system for colorectal procedures. This system's independent robotic arms enable personalized docking configurations. This study presents our refined multi-docking strategy for robotic low anterior resection (LAR) and deep pelvic procedures, designed to maximize the Hugo RAS system's potential in rectal surgery, and evaluates the associated learning curve.
methodsThis retrospective analysis included 31 robotic LAR procedures performed with the Hugo RAS system using our novel multi-docking strategy. Docking times were the primary outcome. The Mann-Kendall test, Spearman's correlation, and cumulative sum (CUSUM) analysis were used to assess the learning curve and efficiency gains associated with the strategy.
resultsDocking times showed a significant negative trend (p < 0.01), indicating improved efficiency with experience. CUSUM analysis confirmed a distinct learning curve, with proficiency achieved around the 15th procedure. The median docking time was 6 min, comparable to other robotic platforms after proficiency.
conclusionThis study demonstrates the feasibility and effectiveness of a multi-docking strategy in robotic LAR using the Hugo RAS system. Our personalized approach, capitalizing on the system's unique features, resulted in efficient docking times and streamlined surgical workflow. This approach may be particularly beneficial for surgeons transitioning from laparoscopic to robotic surgery, facilitating a smoother adoption of the new technology. Further research is needed to validate the generalizability of these findings across different surgical settings and experience levels.
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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.