Evidence map›Paper›PMID 42120568›Full record

ArticleSurgical endoscopy2026

Robotic single-port (SP) vaginal hysterectomy: the first cases in Europe and surgical steps.

Layanna Otrante, Louise Moniod, Clement Rousseau, Celine Chauleur

Abstract read
In one paragraph

Article in Surgical endoscopy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from 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.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Layanna OtranteDepartment of Gynecology and Obstetrics, Saint-Etienne University Hospital, Avenue Albert Raimond, 42270, Saint Priest en Jarez, France.
Louise MoniodDepartment of Gynecology and Obstetrics, Saint-Etienne University Hospital, Avenue Albert Raimond, 42270, Saint Priest en Jarez, France.ORCID http://orcid.org/0000-0002-3015-7610
Clement RousseauDepartment of Gynecology and Obstetrics, Saint-Etienne University Hospital, Avenue Albert Raimond, 42270, Saint Priest en Jarez, France.
Celine ChauleurDepartment of Gynecology and Obstetrics, Saint-Etienne University Hospital, Avenue Albert Raimond, 42270, Saint Priest en Jarez, France. celine.chauleur@chu-st-etienne.fr.ORCID http://orcid.org/0000-0003-4057-8133

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVaginal hysterectomy is the preferred approach when feasible, but technical limitations may restrict its use in complex cases. Robotic assistance combined with vaginal natural orifice transluminal endoscopic surgery (vNOTES) aims to overcome these limitations. The da Vinci® Single-Port (SP) system, designed for narrow spaces, may further optimize robotic-assisted vaginal surgery.

methodsWe conducted a retrospective, single-center case series including all robotic-assisted vaginal hysterectomies performed using the da Vinci® SP system (RSP-vNOTES) between October 2024 and April 2026. Clinical, perioperative, and postoperative data were collected from medical records. Outcomes were analyzed using descriptive statistics.

resultsSeventeen RSP-vNOTES hysterectomies were performed by two experienced surgeons. Median total operative time was 74 min (60.8, 96.8). The main surgical indication was uterine fibroids with large uterine volume; median uterine weight was 370 g (61, 800). Estimated blood loss was minimal, with no conversions or intraoperative complications. Sixteen patients (94.1%) underwent same-day discharge; one patient required one night hospitalization due to anesthetic contraindications related to comorbidities. Postoperative pain was low, with a median VAS score of 0 at 4 h (0-1). No postoperative complications were observed within 30 days.

conclusionRobotic-assisted vaginal hysterectomy using the da Vinci® Single-Port system is feasible and safe, with favorable short-term outcomes, including in cases with large uterine volume. Direct intravaginal insertion of the SP access port provides effective robotic assistance in a confined anatomical space. Larger prospective studies are needed to confirm these findings and further define the role of single-port robotic technology in vaginal gynecologic surgery.

Indexed as

Hysterectomy, VaginalLeiomyomaNatural Orifice Endoscopic SurgeryRobotic Surgical ProceduresUterine NeoplasmsAdultEuropeFemaleHumansMiddle AgedOperative TimeRetrospective StudiesHysterectomyRobotic vaginal surgerySingle portvNOTES

Identifiers

PMID42120568
PMCPMC13246539

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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.