Evidence map›Paper›PMID 36533312›Full record

ArticleThe neuroradiology journal2023

The angio-architectural features of brain arteriovenous malformations: is it possible to predict the probability of rupture?

Arianna Rustici, Francesca Vari, Carmelo Sturiale, Alfredo Conti, Antonino Scibilia, Carlo Bortolotti, Raffaele Agati, Caterina Tonon, Raffaele Lodi, Diego Mazzatenta and 4 more

Erratum issuedOpen access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The neuroradiology journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 49% of its field
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, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 2 institutions in 1 country.

Arianna RusticiDepartment of Biomedical and NeuroMotor Sciences (DIBINEM), University of Bologna, Bologna, Italy.ORCID 0000-0002-3753-6189
Francesca VariDepartment of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy.
Carmelo SturialeIRCCS Istituto Delle Scienze Neurologiche di Bologna, UOC di Neurochirurgia, Bologna, Italy.
Alfredo ContiDepartment of Biomedical and NeuroMotor Sciences (DIBINEM), University of Bologna, Bologna, Italy.
Antonino ScibiliaIRCCS Istituto Delle Scienze Neurologiche di Bologna, UOC di Neurochirurgia, Bologna, Italy.
Carlo BortolottiIRCCS Istituto Delle Scienze Neurologiche di Bologna, UOC di Neurochirurgia, Bologna, Italy.
Raffaele AgatiIRCCS Istituto Delle Scienze Neurologiche di Bologna, Programma di Neuroradiologia con Tecniche Ad Elevata Complessità, Bologna, Italy.
Caterina TononDepartment of Biomedical and NeuroMotor Sciences (DIBINEM), University of Bologna, Bologna, Italy.
Raffaele LodiDepartment of Biomedical and NeuroMotor Sciences (DIBINEM), University of Bologna, Bologna, Italy.
Diego MazzatentaDepartment of Biomedical and NeuroMotor Sciences (DIBINEM), University of Bologna, Bologna, Italy.
Matteo ZoliDepartment of Biomedical and NeuroMotor Sciences (DIBINEM), University of Bologna, Bologna, Italy.ORCID 0000-0001-8838-5408
Ciro PrinciottaIRCCS Istituto Delle Scienze Neurologiche di Bologna, UOC di Neuroradiologia, Bologna, Italy.ORCID 0000-0001-7018-5280
Massimo Dall'OlioIRCCS Istituto Delle Scienze Neurologiche di Bologna, UOC di Neuroradiologia, Bologna, Italy.
Luigi CirilloDepartment of Biomedical and NeuroMotor Sciences (DIBINEM), University of Bologna, Bologna, Italy.
Istituto delle Scienze Neurologiche di Bologna · ITUniversity of Bologna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHemorrhage is the most devastating complication of brain arteriovenous malformations (bAVMs), and to date, there is still concern about the needing for treatment in case of unruptured and asymptomatic bAVM. In fact, the morbidity and mortality of treatments may exceed that of the AVM's natural history. None of the classifications and scores for bAVM allows to predict the risk of bleeding. In this study, we aimed to identify the angio-architectural characteristics of brain AVMs associated with bleeding.

methodsWe retrospectively evaluated all consecutive patients diagnosed with cerebral AVMs, between January 2010 and December 2019 from our prospective bAVM database. Univariate and multivariate logistic regression analysis were used to evaluate relationships between angio-architectural features of ruptured and unruptured bAVMs.

resultsOf the 143 retrieved bAVMs, 65 were unruptured and 78 were ruptured. The univariate logistic regression analysis demonstrated statistically significant differences into angio-architectural features of unruptured and ruptured bAVMs. The multivariate logistic regression analysis fitted well (

conclusionsIn our study, several features resulted related to an increased probability of rupture for bAVMs, among which the more relevant were a small diameter of the nidus, the absence of venous drainage alterations, and the presence of prenidal aneurysms.

Indexed as

BrainIntracranial Arteriovenous MalformationsHumansProbabilityProspective StudiesRetrospective StudiesangioarchitectureArteriovenous malformationsARUBAAVM rupture

Identifiers

PMID36533312
PMCPMC10588602
OpenAlexW4311927067

What OpenQuestion holds

Textmetadata
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.