Evidence map›Paper›PMID 39687903›Full record

ArticleFrontiers in medicine2024

Extracranial arteriovenous malformations: a 10-year experience at a German vascular anomaly center and evaluation of diagnostic imaging for endovascular therapy assessment.

Nadja Werba, Johannes Ludwig, Christel Weiss, Felix Struebing, Stefan Schoenberg, Maliha Sadick

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Article in Frontiers in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Nadja WerbaClinic for Radiology and Nuclear Medicine, University Medical Centre Mannheim, Mannheim, Germany.
Johannes LudwigClinic for Radiology and Nuclear Medicine, University Medical Centre Mannheim, Mannheim, Germany.
Christel WeissDepartment of Medical Statistics, Biomathematics and Information Processing, Medical Faculty Mannheim, Ruprecht-Karls-University of Heidelberg, Heidelberg, Germany.
Felix StruebingDepartment of Hand, Plastic and Reconstructive Surgery, Burn Center, Berufsgenossenschaft (BG) Trauma Centre, Ludwigshafen, Germany.
Stefan SchoenbergClinic for Radiology and Nuclear Medicine, University Medical Centre Mannheim, Mannheim, Germany.
Maliha SadickClinic for Radiology and Nuclear Medicine, University Medical Centre Mannheim, Mannheim, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Arteriovenous malformations (AVMs) account for <3% of vascular anomalies. This study aims to present the 10-year experience of a German vascular anomaly center (VAC) with AVMs and evaluate diagnostic imaging for treatment-relevant information for minimally invasive therapy planning. Material and methods: A retrospective study including patients from the VAC database with AVMs was conducted. Clinical information from patients' records was evaluated. An additional image reading analysis of the available diagnostic imaging using a 4-point Likert scale, focusing on relevant points for minimally invasive treatment planning, was conducted in 13 patients who had all three magnetic resonance tomography (MRI), computed tomography (CT), and conventional angiography available. Results: Between April 2014 and March 2024, 60 patients (60% female, 40% male; 12% Parkes Weber syndrome) with AVMs presented to the VAC. The median age was 36 years (range: 11-78 years). Referral diagnosis was correct in 73.3% of cases. The mean distance to the VAC was 102.5 km (±111.0). The most common locations involved the hand (32%), lower extremity (22%), and pelvis (22%). The most common symptoms were pain (81%), pulsation (64%), and local hyperthermia (62%). Necrosis was significantly more common when the AVM was located in the hand ( Conclusion: Our 10-year experience showed that in patients with AVMs, the correct diagnosis is often made before admission to a specialized VAC. Diagnostic imaging is essential for endovascular treatment planning, with conventional angiography showing superior utility in image quality, NIDUS evaluation, and therapy planning compared to other modalities.

Indexed as

arteriovenous malformation (AVM)computed tomographydiagnostic imaging analysismagnetic resonance imaging (MRI)vascular anomalies

Identifiers

PMID39687903
PMCPMC11646712

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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.