Evidence map›Paper›PMID 40989492›Full record

ArticleFrontiers in surgery2025

Case Report: Upper extremity fibro-adipose vascular anomaly.

Yutao Wang, Xue Pang, Sihai Yu, Qingyong Guo, Qichen Fan, Kuiquan Song, Yan Sun

Abstract readCase Reports
In one paragraph

Article in Frontiers in surgery, 2025. 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

7 authors.

Yutao WangDepartment of Peripheral Vascular Surgery, Guang'anmen Hospital Jinan Hospital, China Academy of Chinese Medical Sciences (Jinan Municipal Hospital of Traditional Chinese Medicine), Jinan, China.
Xue PangDepartment of Colorectal Surgery, The First Affiliated Hospital of Shandong First Medical University, Jinan, China.
Sihai YuDepartment of Peripheral Vascular Surgery, Guang'anmen Hospital Jinan Hospital, China Academy of Chinese Medical Sciences (Jinan Municipal Hospital of Traditional Chinese Medicine), Jinan, China.
Qingyong GuoDepartment of Peripheral Vascular Surgery, Guang'anmen Hospital Jinan Hospital, China Academy of Chinese Medical Sciences (Jinan Municipal Hospital of Traditional Chinese Medicine), Jinan, China.
Qichen FanDepartment of Peripheral Vascular Surgery, Guang'anmen Hospital Jinan Hospital, China Academy of Chinese Medical Sciences (Jinan Municipal Hospital of Traditional Chinese Medicine), Jinan, China.
Kuiquan SongDepartment of Peripheral Vascular Surgery, Guang'anmen Hospital Jinan Hospital, China Academy of Chinese Medical Sciences (Jinan Municipal Hospital of Traditional Chinese Medicine), Jinan, China.
Yan SunDepartment of Vascular Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Fibro-Adipose Vascular Anomaly (FAVA) is a complex vascular malformation, usually presents as painful and slow-growing masses, and occurs commonly in the lower limb. Methods: This paper describes a rare case of FAVA in the upper limb, which was successfully treated with surgery. A 26-year-old female was admitted with a painful mass in the left forearm. The MRI scan and Color Doppler ultrasound showed the mass located in the flexor carpi radialis of the left forearm. Results: The patient underwent resection of the involved muscle, and the histopathological examination confirmed the diagnosis of FAVA. She was followed up for 6 months after surgery without any relevant clinical event. Conclusions: Surgical management is an effective option for FAVA.

Indexed as

case reportfibro-adipose vascular anomalysurgical managementupper limbvascular malformation

Identifiers

PMID40989492
PMCPMC12450965

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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.