Evidence map›Paper›PMID 39659618›Full record

ArticleCase reports in women's health2024

Dedifferentiated recurrent liposarcoma of the uterine corpus: A case report and literature review.

Sana Mushtaq, Muhammad Arslan Ul Hassan, Yan Li, Ikran Abdi, Aqsa Ahmad, HaiNing Li

Abstract readCase Reports
In one paragraph

Article in Case reports in women's health, 2024. 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

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

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

6 authors.

Sana MushtaqDepartment of Gynecology, General Hospital of Ningxia Medical University, Yinchuan 750004, China.
Muhammad Arslan Ul HassanThe First Clinical Medical College of Ningxia Medical University, Yinchuan 750004, China.
Yan LiDepartment of Gynecology, General Hospital of Ningxia Medical University, Yinchuan 750004, China.
Ikran AbdiThe First Clinical Medical College of Ningxia Medical University, Yinchuan 750004, China.
Aqsa AhmadThe First Clinical Medical College of Ningxia Medical University, Yinchuan 750004, China.
HaiNing LiDepartment of Gynecology, General Hospital of Ningxia Medical University, Yinchuan 750004, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liposarcoma of the uterine corpus represents an exceptionally rare tumor, with few cases documented in the literature, underscoring its unique histopathologic characteristics and management challenges. This case describes the clinical management of a 57-year-old patient with well-differentiated liposarcoma of the uterine corpus who presented with a three-month history of abdominal pain and distension. She underwent an abdominal hysterectomy followed by chemotherapy but experienced local recurrence in the mesentery and retroperitoneum after 21 months. Tumor resection was performed again, followed by chemotherapy, but the patient experienced a second recurrence 15 months later, involving the small intestine, vaginal stump, and ureter, with evidence of dedifferentiated liposarcoma. A third surgical resection was carried out without administering chemotherapy and the patient remained asymptomatic at follow-up appointments every 3 months for a year. This case highlights the importance of acknowledging the aggressive nature of recurrent liposarcoma, especially its transition into dedifferentiated liposarcoma, and the need for tailored management strategies.

Indexed as

Case reportChemotherapyDedifferentiationRecurrenceWell-differentiated liposarcoma

Identifiers

PMID39659618
PMCPMC11629544

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.