ArticleFacts, views & vision in ObGyn2023
En-block butterfly excision of posterior compartment deep endometriosis: The first experience with the new surgical robot Hugo™ RAS.
Article in Facts, views & vision in ObGyn, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 4 of them syntheses 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.
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Who cites it
8 citing papers in PubMed, 4 syntheses or guidelines pooled it, 11 citations in OpenAlex.
- The Hugo™ RAS system in gynecologic robotic surgery: a systematic review of current applications.Journal of robotic surgery · 2025Pooled it
- Factors contributing to the delayed diagnosis of endometriosis-a systematic review and meta-analysis.Frontiers in medicine · 2025Pooled it
- Robotic assisted versus laparoscopic surgery for deep endometriosis: a meta-analysis of current evidence.Journal of robotic surgery · 2024Pooled it
- Ultrasound-guided robotic surgical procedures: a systematic review.Surgical endoscopy · 2024Pooled it
- Cross-platform integration of robotic intraoperative ultrasound using system-agnostic drop-in probes: technical feasibility and workflow standardization.Journal of robotic surgery · 2026Article
- Minimally Invasive Rectal Surgery: Current Status and Future Perspectives in the Era of Digital Surgery.Journal of clinical medicine · 2025Review
- Robotic platforms in gynaecological surgery: past, present, and future.Facts, views & vision in ObGyn · 2024Article
- Robotic surgery for deep-infiltrating endometriosis: is it time to take a step forward?Frontiers in medicine · 2024Review
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Minimally invasive surgery is the gold standard treatment for deep endometriosis when medical management fails. In selected cases, such as when bowel or urinary tract are involved, robotic assisted surgery can be useful due to its characteristics of high dexterity and manoeuvrability. This is the first case of robotic en-bloc excision of posterior compartment deep endometriosis performed with the new HugoTM RAS system. Objective: The purpose of this video article is to show for the first time the feasibility of bowel surgery for deep endometriosis with this new robotic device. Materials and Methods: A 24-years-old woman affected by severe dysmenorrhea, chronic pelvic pain, dyschezia and dyspareunia underwent to deep endometriosis excision using the new robotic platform HugoTM RAS system at the Unit of Gynaecological Oncology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy. Main outcome measures: Intraoperative data, docking set up, post-operative outcomes up to three months follow up were evaluated. Results: The surgical procedure was carried out without intra-operative or post-operative complications, operative time (OT) was 200 minutes, while docking time was 8 minutes. No system errors or faults in the robotic arms were registered. Post-operative complete disease-related symptoms relief was reported. Conclusion: According to our results, the introduction of this new robotic platform in the surgical management of deep endometriosis seems to be feasible, especially in advanced cases. However, further studies are needed to demonstrate the benefits of this surgical system and the advantages of robotic surgery compared to laparoscopy in this subset of patients.
Identifiers
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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.