Evidence map›Paper›PMID 42433341›Full record

ArticleAvicenna journal of medicine2026

Low-Grade Gastric Fibromyxoid Sarcoma in an Adult Female: A Rare Case Report.

Duaa Al-Shurbaji, Muna Al-Khawaldeh, Layth H Zraygat, Mohammad Al-Slehat, Rula Al-Shimi

Abstract readCase Reports
In one paragraph

Article in Avicenna journal of medicine, 2026. 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

5 authors.

Duaa Al-ShurbajiDepartment of Histopathology, King Hussein Medical Center, Jordanian Royal Medical Services, Amman, Jordan.
Muna Al-KhawaldehDepartment of Oncology, King Hussein Medical Center, Jordanian Royal Medical Services, Amman, Jordan.
Layth H ZraygatDepartment of Oncology, King Hussein Medical Center, Jordanian Royal Medical Services, Amman, Jordan.
Mohammad Al-SlehatDepartment of Medicine, Jordan University Hospital, Amman, Jordan.ORCID 0000-0002-1368-7775
Rula Al-ShimiFaculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low-grade fibromyxoid sarcoma (LGFMS) is an uncommon soft tissue tumor that often masquerades as benign due to its deceptively mild histopathological appearance. Predominantly arising from the deep soft tissues of the extremities and trunk, LGFMS is exceptionally uncommon in the gastrointestinal (GI) tract. While most documented cases have been found in the small intestine and colon, only one prior case has been reported in the stomach involving an elderly Japanese woman. In this report, we present a compelling case of gastric LGFMS in a 21-year-old female who experienced mild hematemesis and fatigue. An abdominal computed tomography scan unveiled an ill-defined, hypodense mass originating from the lesser curvature of the stomach and extending toward the left hepatic lobe-highlighting the complexity of this condition. Further investigation included an upper endoscopy and an incomplete laparoscopic resection of the tumor. Histopathological analysis revealed a proliferation of spindle cells with focal whorling within a heavily collagenized stroma, transitioning abruptly to a myxoid area, thus confirming a diagnosis of LGFMS. Immunohistochemical testing showed positive results for vimentin and BCL2. Crucially, molecular analysis identified the FUS-CREB3L1 fusion. Based on our search in the literature review, this case is considered a second instance reported in English literature.

Indexed as

FUS-CREB3L1 fusiongastriclow-grade fibromyxoid sarcoma

Identifiers

PMID42433341
PMCPMC13354511

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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.