Evidence map›Paper›PMID 40646378›Full record

ArticleJournal of robotic surgery2025

Feasibility and surgical outcomes of robotic myomectomy for large and multiple uterine fibroids- insights from a decade of experience at a single centre.

Rooma Sinha, Rupa Bana, Shilpa Chowdary Peddappolla

Abstract read
In one paragraph

Article in Journal of robotic surgery, 2025. 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

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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

The trial behind it

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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
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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

3 authors.

Rooma SinhaDepartment of Gynaecology and Robotic Surgery, Apollo Health City, Hyderabad, India. drroomasinha@hotmail.com.ORCID http://orcid.org/0000-0001-8221-2282
Rupa BanaDepartment of Gynaecology and Robotic Surgery, Apollo Health City, Hyderabad, India.
Shilpa Chowdary PeddappollaDepartment of Gynaecology and Robotic Surgery, Apollo Health City, Hyderabad, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is limited data on the safety and effectiveness of robotic-assisted myomectomy (RM) for large (≥ 8 cm) and multiple (≥ 5) fibroids. This study aims to assess the feasibility and perioperative outcomes of RM in these cases. A retrospective chart review was performed on 260 patients who underwent RM at a single institution between January 2013 and May 2024. Demographic information, primary symptoms, and operative outcomes were extracted from the patients' medical records. Large myomas were defined as those with a diameter of ≥ 8 cm, while multiple myomas were considered to be ≥ 5 fibroids. Data from 260 patients, with a mean age of 34.18 ± 5.55 years, were collected and analyzed. On average, 2.37 ± 0.31 fibroids were removed, with a mean weight of 294.0 ± 290.25 g. The average operative time was 144.6 ± 55.3 min, including a console time of 100.3 ± 47.13 min. The estimated blood loss (EBL) averaged 189.05 ± 296.65 mL, with 6.9% (18 patients) requiring transfusions. The mean hospital stay was 23.46 ± 6.42 h, with 87 patients staying more than 24 h. No conversions to laparotomy, reoperations, or major complications were reported. Patients with fibroids ≥ 8 cm experienced significantly higher EBL (p = 0.019), transfusion rates (p = 0.041), and longer hospital stays (p = 0.009). Although total operative time was not significantly affected by the number of fibroids, docking (p = 0.036) and console times (p < 0.001) were longer in patients with ≥ 5 fibroids. Additionally, blood transfusions were more frequently required in this group. Drawing on ten years of experience, this study highlights the feasibility and efficacy of RM in treating uterine myomas larger than 8 cm and in cases involving five or more fibroids.

Indexed as

LeiomyomaRobotic Surgical ProceduresUterine MyomectomyUterine NeoplasmsAdultBlood Loss, SurgicalFeasibility StudiesFemaleHumansLength of StayMiddle AgedOperative TimeRetrospective StudiesTreatment OutcomeDa Vinci surgical systemFibroidsMyomasRobotic-assisted myomectomyUterine leiomyomas

Identifiers

PMID40646378
PMCPMC12254167

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LicenceCC BY-NC-ND
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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.