Evidence map›Paper›PMID 39583382›Full record

ArticleCureus2024

Use of the Medtronic Hugo Robot-Assisted Surgery (RAS) System in Urogynecology: A Safety and Feasibility Study of the First 100 Procedures.

Meera Ragavan, Deerush Kannan, Amrithavarshini Ragavan, Madhav Tiwari, Narasimhan Ragavan

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Meera RagavanUrogynecology, Apollo Hospitals, Chennai, IND.
Deerush KannanUrology, Apollo Hospitals, Chennai, IND.
Amrithavarshini RagavanUrogynecology, Apollo Hospitals, Chennai, IND.
Madhav TiwariUrology, Apollo Hospitals, Chennai, IND.
Narasimhan RagavanUrology, Apollo Hospitals, Chennai, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis study evaluates the safety and feasibility of the Medtronic Hugo robot-assisted surgery (RAS) system in gynecological and urogynecological procedures. Through a retrospective analysis of prospectively collected data from the first 100 surgeries performed at Apollo Hospitals Chennai, we aim to provide insights into the system's effectiveness, including outcomes, complications, and overall surgical efficiency in major gynecological and urogynecological operations.

methodsA single experienced robotic surgeon conducted the surgeries, including hysterectomies (n=66). Other common procedures performed were for pelvic organ prolapse (n=12), vesicovaginal fistula (VVF) (n=8), and ovarian cystectomies (n=8). Data on patient demographics, peri and postoperative outcomes, complications, and 30-day readmission rates were collected and analyzed.

resultsAll surgeries were completed without open conversions. One patient experienced a sigmoid colon injury intraoperatively due to severe adhesions from endometriosis; the injury was repaired intraoperatively, and the patient had an uneventful recovery. No patients experienced Clavien-Dindo grade 2 postoperative complications, and there were no readmissions within 30 days. The median docking time was 10.4 ± 2.2 minutes, console time was 60.5 ± 19.7 minutes, and hospital stays ranged from 1 to 4 days, all within acceptable ranges.

conclusionsThe Medtronic Hugo RAS system demonstrates safety and feasibility in major urogynecology procedures, suggesting its potential as a valuable addition to robotic surgical platforms.

Indexed as

hugo rashugo robotpelvis surgeryrobotic-assisted surgeryurogynecology

Identifiers

PMID39583382
PMCPMC11584036

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Registered trials

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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.