Evidence map›Paper›PMID 41567172›Full record

ArticleTherapeutic advances in urology

A case of retroperitoneal giant leiomyoma and literature review.

Zhuocheng Lai, Xiaojun Shi, Qiong Wang, Samir Lalani, Yiwei Wang, Yang Lian, Zaosong Zheng, Weiyu Huang, Shiyu Pang, Wanlong Tan

Abstract readCase Reports
In one paragraph

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

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

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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

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

10 authors.

Zhuocheng LaiDepartment of Urology, School of Medicine, the Sixth Affiliated Hospital of South China University of Technology (Naihai District Peopel's Hospital of Foshan), Foshan, P.R. China.
Xiaojun ShiDepartment of Urology, Nanfang Hospital, Southern Medical University, Guangzhou, P.R. China.
Qiong WangDepartment of Urology, Nanfang Hospital, Southern Medical University, Guangzhou, P.R. China.
Samir LalaniDepartment of Pathology, University of Virginia, Charlottesville, VA, USA.
Yiwei WangDepartment of Pathology, University of Virginia, Charlottesville, VA, USA.
Yang LianDepartment of Urology, Nanfang Hospital, Southern Medical University, Guangzhou, P.R. China.
Zaosong ZhengDepartment of Urology, Nanfang Hospital, Southern Medical University, Guangzhou, P.R. China.
Weiyu HuangDepartment of Urology, Nanfang Hospital, Southern Medical University, Guangzhou, P.R. China.
Shiyu PangDepartment of Urology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, P.R. China.ORCID https://orcid.org/0009-0003-6563-0572
Wanlong TanDepartment of Urology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Retroperitoneal fibroids are a rare condition that is often misdiagnosed preoperatively. It typically occurs in women with a history of hysterectomy or myomectomy for benign uterine smooth muscle tumors. In this case report, we present the case of a 50-year-old woman who presented with discomfort in the right perineal area. Imaging showed a large retroperitoneal tumor. The patient underwent robotic-assisted laparoscopic surgery to remove the mass, which was confirmed by histopathological analysis to be a uterine smooth muscle tumor of undetermined malignant potential (STUMP). The patient had no recurrence during the 2-year follow-up. The overall prognosis of STUMP is favorable, but more rigorous and long-term follow-up is required to monitor potential recurrence. Our case highlights that retroperitoneal masses in women with prior uterine fibroid surgery should raise suspicion for retroperitoneal fibroids. Robot-assisted laparoscopic surgery may be a safe and feasible minimally invasive option.

Indexed as

extra-uterine leiomyomaretroperitoneal leiomyomaretroperitoneal tumor

Identifiers

PMID41567172
PMCPMC12816555

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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.