Evidence map›Paper›PMID 39606048›Full record

ArticleJournal of surgical case reports2024

Obturator nerve schwannoma: a case report and review of the robotic literature.

Haley Bayne, Richard Q Vuong, Shubhneet Bal, Jeffrey West, Anya Laibangyang, David Doo

Abstract readCase Reports
In one paragraph

Article in Journal of surgical case reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Haley BayneRobert Larner MD College of Medicine at the University of Vermont, 89 Beaumont Ave, Burlington, VT 05405, United States.ORCID https://orcid.org/0000-0002-1268-9752
Richard Q VuongRobert Larner MD College of Medicine at the University of Vermont, 89 Beaumont Ave, Burlington, VT 05405, United States.ORCID https://orcid.org/0009-0003-4706-7034
Shubhneet BalDepartment of Pathology, Danbury Hospital, 24 Hospital Ave, Danbury, CT 06810, United States.
Jeffrey WestDepartment of Pathology, Danbury Hospital, 24 Hospital Ave, Danbury, CT 06810, United States.
Anya LaibangyangDepartment of Obstetrics and Gynecology, Danbury Hospital, 24 Hospital Ave, Danbury, CT 06810, United States.
David DooDepartment of Obstetrics and Gynecology, Danbury Hospital, 24 Hospital Ave, Danbury, CT 06810, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obturator schwannomas are rare and often misdiagnosed as intraperitoneal pelvic masses. The optimal surgical approach for their resection is unclear. This study presents a case demonstrating the safe use of robotics for resecting a benign pelvic schwannoma and reviews the literature on robotic cases. Here, a 40-year-old woman with right lower quadrant pain underwent imaging, revealing a 4.6 × 3.3 × 3.6 cm pelvic mass. She had a robotic-assisted laparoscopic excision, with pathology confirming a benign schwannoma. Complete tumor resection is the gold standard. The use of minimally invasive robotic-assisted surgery is increasing due to improved visualization, efficient movement, and safety, making it a viable option for resecting obturator schwannomas.

Indexed as

obturator nerveretroperitoneal schwannomaroboticS100schwannoma

Identifiers

PMID39606048
PMCPMC11602191

What OpenQuestion holds

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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.