Evidence map›Paper›PMID 41727819›Full record

ArticleRadiology case reports2026

Large renal arteriovenous fistula treated by embolization: 2 case reports.

Dang Luu Vu, Ngoc Duong Vu, Van Luong Tran, Dang Tan Do, Van Giang Tran, Duc Huy Tran, Duc Ngoc Tu, Hoang Khoe Le

Abstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Radiology case reports, 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

8 authors.

Dang Luu VuRadiology Institute, Bach Mai Hospital, 78 Giai Phong Street, Hanoi, Hanoi 100000, Vietnam.
Ngoc Duong VuRadiology Institute, Bach Mai Hospital, 78 Giai Phong Street, Hanoi, Hanoi 100000, Vietnam.
Van Luong TranRadiology Institute, Bach Mai Hospital, 78 Giai Phong Street, Hanoi, Hanoi 100000, Vietnam.
Dang Tan DoRadiology Institute, Bach Mai Hospital, 78 Giai Phong Street, Hanoi, Hanoi 100000, Vietnam.
Van Giang TranRadiology Institute, Bach Mai Hospital, 78 Giai Phong Street, Hanoi, Hanoi 100000, Vietnam.
Duc Huy TranRadiology Institute, Bach Mai Hospital, 78 Giai Phong Street, Hanoi, Hanoi 100000, Vietnam.
Duc Ngoc TuRadiology Institute, Bach Mai Hospital, 78 Giai Phong Street, Hanoi, Hanoi 100000, Vietnam.
Hoang Khoe LeRadiology Institute, Bach Mai Hospital, 78 Giai Phong Street, Hanoi, Hanoi 100000, Vietnam.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal arteriovenous fistula (RAVF) is an infrequent vascular anomaly characterized by an aberrant connection between the renal artery and vein, potentially leading to significant clinical consequences. This condition may be congenital, acquired, or idiopathic and can manifest with symptoms such as hypertension, cardiac strain, renal impairment, or hematuria. Diagnostic imaging, including digital subtraction angiography (DSA) as the definitive standard, alongside noninvasive modalities like Doppler ultrasound and computed tomography (CT), plays a critical role in identifying and planning treatment for RAVF. While large fistulas have historically necessitated nephrectomy, endovascular embolization offers a minimally invasive alternative to mitigate hemodynamic complications and preserve renal function. This report details 2 cases of substantial RAVF treated successfully with endovascular techniques, demonstrating their efficacy as a primary intervention for complex fistulas, thereby reducing the need for surgical approaches.

Indexed as

Computed tomographyDigital subtraction angiographyEndovascular embolizationRenal arteriovenous fistula

Identifiers

PMID41727819
PMCPMC12918172

What OpenQuestion holds

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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.