Evidence map›Paper›PMID 37542580›Full record

ArticleJournal of robotic surgery2023

Robotic docking time with the Hugo™ RAS system in gynecologic surgery: a procedure independent learning curve using the cumulative summation analysis (CUSUM).

Giovanni Panico, Sara Mastrovito, Giuseppe Campagna, Giorgia Monterossi, Barbara Costantini, Alessandro Gioè, Riccardo Oliva, Chiara Ferraro, Alfredo Ercoli, Francesco Fanfani and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of robotic surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 4 pooled it
7.6field-weighted citation impact, top 2% 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

20 citing papers in PubMed, 4 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Article
  7. Article
  8. Robotic Single-Incision Laparoscopic Surgery for the Management of Endometriosis: First Experience Via the Da Vinci SP Platform.The international journal of medical robotics + computer assisted surgery : MRCAS · 2026
    Article
  9. Article
  10. Optimizing arm placement in the HugoUpdates in surgery · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
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

11 authors at 2 institutions in 2 countries.

Giovanni PanicoDipartimento di Scienze della Salute della Donna e del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli IRCCS, UOC Chirurgia Ginecologica, 00168, Rome, Italy.ORCID http://orcid.org/0000-0001-5473-9503
Sara MastrovitoDipartimento di Scienze della Salute della Donna e del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli IRCCS, UOC Chirurgia Ginecologica, 00168, Rome, Italy.ORCID http://orcid.org/0000-0001-9923-8315
Giuseppe CampagnaDipartimento di Scienze della Salute della Donna e del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli IRCCS, UOC Chirurgia Ginecologica, 00168, Rome, Italy. giuseppe.campagna@policlinicogemelli.it.ORCID http://orcid.org/0000-0003-2128-077X
Giorgia MonterossiDipartimento di Scienze della Salute della Donna e del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli IRCCS, UOC Ginecologia Oncologica, 00168, Rome, Italy.ORCID http://orcid.org/0000-0002-7132-8068
Barbara CostantiniDipartimento di Scienze della Salute della Donna e del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli IRCCS, UOC Ginecologia Oncologica, 00168, Rome, Italy.ORCID http://orcid.org/0000-0002-1414-0106
Alessandro GioèDipartimento di Scienze della Salute della Donna e del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli IRCCS, UOC Ginecologia Oncologica, 00168, Rome, Italy.ORCID http://orcid.org/0000-0001-8956-5531
Riccardo OlivaDipartimento di Scienze della Salute della Donna e del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli IRCCS, UOC Ginecologia Oncologica, 00168, Rome, Italy.ORCID http://orcid.org/0000-0001-5251-8133
Chiara FerraroDipartimento di Scienze della Salute della Donna e del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli IRCCS, UOC Chirurgia Ginecologica, 00168, Rome, Italy.ORCID http://orcid.org/0009-0001-1004-5638
Alfredo ErcoliPID Ginecologia Oncologica e Chirurgia Ginecologica Miniinvasiva, Università Degli Studi di Messina, Policlinico G.Martino, 98124, Messina, Italy.ORCID http://orcid.org/0000-0002-3377-2803
Francesco FanfaniDipartimento di Scienze della Salute della Donna e del Bambino e di Sanità Pubblica, Università Cattolica del Sacro Cuore, Fondazione Policlinico Universitario A. Gemelli IRCCS, UOC Chirurgia Ginecologica, 00168, Rome, Italy.ORCID http://orcid.org/0000-0003-1991-7284
Giovanni ScambiaDipartimento di Scienze della Salute della Donna e del Bambino e di Sanità Pubblica, Università Cattolica del Sacro Cuore, Fondazione Policlinico Universitario A. Gemelli IRCCS, UOC Chirurgia Ginecologica, 00168, Rome, Italy.ORCID http://orcid.org/0000-0003-2758-1063
Agostino Gemelli University Polyclinic · ITUniversità Cattolica del Sacro Cuore · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robot-assisted surgery has been proven to offer improvements in term of surgical learning curve and feasibility of minimally invasive surgery, but has often been criticized for its longer operative times compared to conventional laparoscopy. Additional times can be split into time required for system set-up, robotic arms docking and calibration of robotic instruments; secondly, surgeon's learning curve. One of the newest systems recently launched on the market is the Hugo™ RAS (MEDTRONIC Inc, United States). As some of the earliest adopters of the Hugo™ RAS system technology, we present our data on robotic docking learning curve for the first 192 gynecologic robotic cases performed at our institution. Our data indicates that robotic set-up and docking with the new Hugo™ RAS robotic surgical system can be performed time-effectively and that the specific robotic docking learning curve is comparable to preexisting data for other platforms. This preliminary insights into this recently released system may be worthwhile for other centers which may soon adopt this new technology and may need some relevant information on topics such as OR times. Further studies are necessary to assess the different features of the Hugo™ RAS considering other technical and surgical aspects, to fully become familiar with this novel technology.

Indexed as

LaparoscopyRoboticsRobotic Surgical ProceduresFemaleGynecologic Surgical ProceduresHumansLearning CurveOperative TimeCUSUMHugo RASRobotic docking learning curveRobotic surgery

Identifiers

PMID37542580
PMCPMC10492716
OpenAlexW4385606748

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.