Evidence map›Paper›PMID 38413488›Full record

ReviewJournal of robotic surgery2024

A narrative review of the Medtronic Hugo RAS and technical comparison with the Intuitive da Vinci robotic surgical system.

James Chi-Yong Ngu, Charles Chung-Wei Lin, Crystal Jin-Yang Sia, Nan-Zun Teo

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of robotic surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
6.3field-weighted citation impact, top 3% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.

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  11. 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 · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

James Chi-Yong NguColorectal Service, Department of Surgery, Changi General Hospital, 2 Simei Street 3, Singapore, 529889, Singapore. james_ngu@cgh.com.sg.
Charles Chung-Wei LinIrcad-Taiwan, Show Chwan Memorial Hospital, Changhua City, Taiwan.
Crystal Jin-Yang SiaColorectal Service, Department of Surgery, Changi General Hospital, 2 Simei Street 3, Singapore, 529889, Singapore.
Nan-Zun TeoColorectal Service, Department of Surgery, Changi General Hospital, 2 Simei Street 3, Singapore, 529889, Singapore.
Changi General Hospital · SGChang Bing Show Chwan Memorial Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medtronic launched the Hugo Robotic-Assisted Surgery (RAS) System in 2021, offering a modular alternative to the incumbent market leader in surgical robotics, the Intuitive da Vinci (dV) surgical system. A detailed technical review of the Hugo RAS was conducted to explore the strengths and weaknesses of this new robotic surgical system. Each component of the system-vision tower, arm cart, and surgeon console-was compared against the existing dV systems. The docking process, instrumentation, and external arm movement trajectories were analyzed. The modular Hugo RAS provides the possibility of operating using up to four arm carts. It has certain design features that are unique to itself, and others that have been implemented to address the shortcomings of the dV Si. While Medtronic's first-generation robot offers distinct advantages over the older Intuitive systems, the true test of its mettle will be its performance compared to the latest dV Xi.

Indexed as

RoboticsRobotic Surgical ProceduresSurgeonsHumansAssistColorectalHUGOLaparoscopyRoboticSurgery

Identifiers

PMID38413488
OpenAlexW4392235886

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.