Evidence map›Paper›PMID 36845229›Full record

ArticleThe Pan African medical journal2022

Primary huge gastric leiomyosarcoma with multiple metastases in a 60-year-old female: a case report.

Fayed Al-Yousofy, Gamal Alshargabi, Faisal Ahmed, Abdullatif Almohtadi, Muneer Fazea, Abdulfattah Altam

Abstract readCase Reports
In one paragraph

Article in The Pan African medical journal, 2022. 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
  2. Article
  3. 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.

Fayed Al-YousofyDepartment of Pathology, Faculty of Medicine, Taiz University of Medical Sciences, Taiz, Yemen.
Gamal AlshargabiDepartment of General Surgery, School of Medicine, Taiz University of Medical Sciences, Taiz, Yemen.
Faisal AhmedUrology Research Center, Al-Thora General Hospital, Department of Urology, School of Medicine, Ibb University of Medical Sciences, Ibb, Yemen.
Abdullatif AlmohtadiDepartment of Radiology, Ibb Scan Center, Ibb, Yemen.
Muneer FazeaDepartment of Radiology, School of Medicine, Ibb University of Medical Sciences, Ibb, Yemen.
Abdulfattah AltamDepartment of General Surgery, School of Medicine, 21 September University, Sana'a, Yemen.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The incidence of leiomyosarcomas (LMS) has declined drastically. In fact, the introduction of immunohistochemistry (IHC) helped to differentiate LMS from other gastrointestinal stromal tumors (GIST) by receptor tyrosine kinase (KIT)-mutation detection making gastric LMS a sporadic tumor recently. We report a 60-year-old female who presented with a three-week history of abdominal pain. An abdominal computed tomography scan showed a large exophytic mass (22 ×19 ×15 cm) arising from the greater curvature of the stomach with multiple metastases. A biopsy was taken, and the initial histopathological examination was suggestive of GIST. However, further histopathological examination confirmed a high-grade gastric LMS. The patient refused any surgical intervention. Therefore, the patient had only received chemotherapy. On 9-month follow-up, the patient is still alive without disease progression. In conclusion, gastric LMS is a rare tumor. Due to the possibility of being misdiagnosed with other GIST, extensive pathological evaluation through specialized experts and IHC analysis is recommended.

Indexed as

Gastrointestinal Stromal TumorsLeiomyosarcomaStomach NeoplasmsBiopsyFemaleHumansMiddle Agedcase reportpathologyPrimary leiomyosarcomastomach

Identifiers

PMID36845229
PMCPMC9949283

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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.