Evidence map›Paper›PMID 41969733›Full record

ArticleEJVES vascular forum2026

Fibroadipose Vascular Anomaly: A Distinct Vascular Malformation.

Nitin J Inbaraj, Madhavi Kandagaddala, Shyamkumar N Keshava, L Samuel Prabhu Mithra, Jackwin Sam Paul, Santhosh Babu, Jennifer Prabhu, Dheepak Selvaraj

Abstract read
In one paragraph

Article in EJVES vascular forum, 2026. 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

8 authors.

Nitin J InbarajDepartment of Vascular Surgery, Christian Medical College, Vellore, Tamil Nadu, India.
Madhavi KandagaddalaDepartment of Diagnostic Radiology, Christian Medical College, Vellore, Tamil Nadu, India.
Shyamkumar N KeshavaDepartment of Interventional Radiology, Christian Medical College, Vellore, Tamil Nadu, India.
L Samuel Prabhu MithraDepartment of Vascular Surgery, Christian Medical College, Vellore, Tamil Nadu, India.
Jackwin Sam PaulDepartment of Community Medicine, Christian Medical College, Vellore, Tamil Nadu, India.
Santhosh BabuDepartment of Interventional Radiology, Christian Medical College, Vellore, Tamil Nadu, India.
Jennifer PrabhuDepartment of Clinical Pathology, Christian Medical College, Vellore, Tamil Nadu, India.
Dheepak SelvarajDepartment of Vascular Surgery, Christian Medical College, Vellore, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Fibroadipose vascular anomaly (FAVA) is a rare and complex vascular malformation. It primarily involves the venous components and is characterised by a matrix of fibrofatty tissue. This study aimed to describe the features of FAVA that differentiate it from venous malformation (VM). Method: A retrospective series of 62 patients diagnosed with FAVA from August 2019 to February 2022 at a tertiary care centre in South India was analysed. The diagnosis was confirmed by histopathology ( Results: FAVA (43.5% males) and VM (55.6% males) presented at a mean age of 26.5 ± 13.1 and 23.7 ± 10.9 years, respectively. While both presented with swelling (93.7% and 94.4%, respectively), pain was significantly more prevalent among FAVA (87.1% Conclusion: FAVA is a clinically and radiologically distinct entity. Recognition of the characteristic MRI features of FAVA, particularly intramuscular fat and fibrosis, may aid in early diagnosis and guide appropriate multidisciplinary management.

Indexed as

FAVAFibroadipose vascular anomalyMRIVenous malformation

Identifiers

PMID41969733
PMCPMC13068533

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.