Evidence map›Paper›PMID 40692868›Full record

ArticleFrontiers in oncology2025

Great saphenous vein leiomyosarcoma: a rare case report and literature review.

Ying Liu, Bin Dong, Chunjie Hou, Litao Sun, Genshan He, Qiaohong Hu

Abstract readCase Reports
In one paragraph

Article in Frontiers in oncology, 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

6 authors.

Ying LiuCancer Center, Department of Ultrasound Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China.
Bin DongDepartment of Ultrasonography, Hangzhou Third People's Hospital & Hangzhou Third Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, China.
Chunjie HouCancer Center, Department of Ultrasound Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China.
Litao SunCancer Center, Department of Ultrasound Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China.
Genshan HeCancer Center, Department of Ultrasound Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China.
Qiaohong HuCancer Center, Department of Ultrasound Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Great saphenous vein leiomyosarcoma is an extremely rare tumor clinically, which is often misdiagnosed as superficial venous thrombosis due to atypical clinical manifestations. This report describes a rare presentation of great saphenous vein leiomyosarcoma in a 37-year-old man who was referred to our hospital due to a gradually enlarging painless mass on his left shank. Ultrasound revealed that the mass in the left calf was a solid tumor originating from the left great saphenous vein. He underwent radical resection for the mass ultimately. Subsequent histopathological and immunohistochemical analyses resulted in a conclusive diagnosis of primary leiomyosarcoma originating from the great saphenous vein. There are only 56 cases of great saphenous vein leiomyosarcoma reported in medical databases worldwide at present, which are summarized and analyzed here.

Indexed as

case reportgreat saphenous veinhypoecholeiomyosarcomaultrasound

Identifiers

PMID40692868
PMCPMC12277968

What OpenQuestion holds

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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.