Evidence map›Paper›PMID 39866281›Full record

ArticleSAGE open medical case reports2025

A giant degenerative uterine leiomyoma mimicking an ovarian neoplasm: Case report.

Van Trung Hoang, The Huan Hoang, Hoang Anh Thi Van, Ngoc Trinh Thi Pham, Vichit Chansomphou, Thanh Tam Thi Nguyen, Cong Thao Trinh, Duc Thanh Hoang

Abstract readCase Reports
In one paragraph

Article in SAGE open medical case reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

8 authors.

Van Trung HoangDepartment of Radiology, Thien Hanh Hospital, Buon Ma Thuot, Vietnam.ORCID https://orcid.org/0000-0001-7857-4387
The Huan HoangDepartment of Radiology, Thien Hanh Hospital, Buon Ma Thuot, Vietnam.
Hoang Anh Thi VanDepartment of Radiology, Thien Hanh Hospital, Buon Ma Thuot, Vietnam.
Ngoc Trinh Thi PhamSchool of Medicine and Pharmacy, The University of Danang, Da Nang, Vietnam.ORCID https://orcid.org/0000-0002-3543-0532
Vichit ChansomphouDepartment of Radiology, Savannakhet Medical-Diagnostic Center, Kaysone Phomvihane, Laos.
Thanh Tam Thi NguyenDepartment of Radiology, FV Hospital, Ho Chi Minh City, Vietnam.
Cong Thao TrinhDepartment of Radiology, FV Hospital, Ho Chi Minh City, Vietnam.
Duc Thanh HoangDivision of Endocrinology, Department of Medicine, Walter Reed National Military Medical Center, Bethesda, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Uterine leiomyoma, also referred to as fibroid or myoma, is a prevalent benign tumor that can present with a range of clinical manifestations. The symptoms, which vary based on the tumor's location, size, and number, include pain, constipation, urinary disturbances, and abnormal menstrual bleeding. Certain types of uterine leiomyomas, such as pedunculated subserosal myomas or large degenerating cystic myomas, may closely mimic ovarian tumors, leading to significant diagnostic and management challenges. In this report, we present the case of a 47-year-old woman who experienced severe dyspnea and abdominal distension. Comprehensive radiological evaluation revealed a massive lesion, with both solid and cystic components, occupying the entire abdominopelvic cavity. Histological analysis confirmed the diagnosis of cellular leiomyoma. This case underscores the importance of considering degenerative cystic myoma in the differential diagnosis of large, cystic intra-abdominal tumors of unknown origin, to avoid misdiagnosis and ensure appropriate management.

Indexed as

Cystic degenerationovarian tumoruterine fibroidsuterine leiomyomas

Identifiers

PMID39866281
PMCPMC11758534

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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.