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Record W7104563970 · doi:10.70135/seejph.vi.6923

Role Of Embolisation In Intranidal Arterio-Venous Fistula Within Cerebral Arterio-Venous Malformations

2022· article· W7104563970 on OpenAlexaboutno aff

Bibliographic record

VenueSouth Eastern European Journal of Public Health · 2022
Typearticle
Language
FieldMedicine
TopicVascular Malformations Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsEmbolizationModified Rankin ScaleOcclusionArteriovenous malformationFistulaArteriovenous fistulaMicrosurgeryCohort

Abstract

fetched live from OpenAlex

Cerebral arteriovenous malformations (AVMs) represent complex congenital vascular anomalies characterized by aberrant connections between arteries and veins, bypassing capillary networks and leading to high-flow shunting. Within these malformations, intranidal arteriovenous fistulas (AVFs) constitute distinct high-velocity channels that intensify hemodynamic stress, elevating risks of intracranial haemorrhage, seizures, and neurological impairments. This study explores the pivotal role of endovascular embolization in managing intranidal AVFs within cerebral AVMs, emphasizing its efficacy, safety, and integration into multimodal therapeutic strategies. Conducted as a systematic review and meta-analysis adhering to PRISMA guidelines, the investigation synthesized data from PubMed, Embase, Scopus, and Cochrane Library spanning January 2021 to January 2022. Search terms encompassed "cerebral AVM," "nidal AVF," "embolization," and related variants. Inclusion criteria targeted cohort studies and case series (>10 patients) detailing embolization outcomes specifically for nidal AVFs, excluding case reports, non-English publications, and studies lacking fistula-specific analyses. Data extraction by two independent reviewers covered patient demographics, AVM characteristics (e.g., Spetzler-Martin grades), procedural details (agents like NBCA or Onyx), occlusion rates, complications, and long-term outcomes (e.g., modified Rankin Scale scores). Quality assessment employed the Newcastle-Ottawa Scale and MINORS criteria, with meta-analysis utilizing random-effects models in Review Manager 5.4 to compute pooled proportions and heterogeneity via I² statistics. Analysis of key studies revealed embolization's effectiveness in achieving high occlusion rates (pooled 75-90% for targeted AVFs) while mitigating hemorrhage risks (hazard ratio reduction to 0.45 in combined therapies). Complications, primarily ischemic events, occurred in 5-10% of cases, often unrelated to AVF-specific interventions. Subgroup analyses by AVM grade and embolic agent highlighted superior outcomes for Grades III-V with Onyx, facilitating adjunctive microsurgery or radiosurgery. Long-term follow-up demonstrated sustained symptom relief and AVM size reduction in 80% of treated cases, with minimal recurrences. Embolization emerges as a cornerstone minimally invasive approach for intranidal AVFs, reducing venous hypertension and enhancing overall prognoses. This review bridges literature gaps, advocating tailored, multidisciplinary protocols to optimize patient outcomes in interventional neuroradiology. Future large-scale trials are warranted to refine techniques and long-term efficacy assessments.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.022
metaresearch head score (Gemma)0.067
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.114

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.067
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0080.012
Bibliometrics0.0050.005
Science and technology studies0.0000.001
Scholarly communication0.0040.003
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.039
GPT teacher head0.255
Teacher spread0.216 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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