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Record W4416921724 · doi:10.1161/svi270000_363

Abstract 363: Cerebrovascular Events and Associated Risk Factors in Cervical Fibromuscular Dysplasia: A Systematic Review and Meta‐Analysis

2025· article· en· W4416921724 on OpenAlexaboutno aff
Yugant Khand, Rohit Saha, Egesh Aryal, Sanjeev Kharel, Romil Kukadiya

Bibliographic record

VenueStroke Vascular and Interventional Neurology · 2025
Typearticle
Languageen
FieldMedicine
TopicRenal and Vascular Pathologies
Canadian institutionsnot available
Fundersnot available
KeywordsFibromuscular dysplasiaStroke (engine)Incidence (geometry)Cervical ArteryObservational studyStenosisCochrane LibraryIschemic stroke

Abstract

fetched live from OpenAlex

Introduction Cervical fibromuscular dysplasia (FMD) is a non‐inflammatory arteriopathy of cervical arteries that causes arterial stenosis and structural fragility. Due to multifactorial pathophysiology causing arterial dissection, aneurysm formation, and thromboembolic mechanisms, cervical FMD results in cerebrovascular events. We conducted a review to assess the risk of transient ischemic attack, ischemic, and hemorrhagic stroke in cervical FMD. Methods We searched PubMed, EMBASE, Scopus, and Cochrane Library from inception through March 2025. Our primary objective was to estimate the pooled incidence of cerebrovascular events (ischemic stroke, TIA, hemorrhagic stroke) in patients with cervical FMD. We included observational studies involving adults diagnosed with cervical FMD. Two reviewers independently assessed study quality using Newcastle‐Ottawa scale. Pooled incidence proportions were calculated using DerSimonian‐Laird method, given anticipated heterogeneity. Results The search identified 1363 records. 868 titles and abstracts were screened and 69 full‐texts were assessed for eligibility. Ultimately, 16 studies met the inclusion criteria. Of the 1785 FMD cases, 902 (50.53%) had ischemic strokes. The pooled proportion for ischemic stroke was 53% (95%. CI: 27‐ 78; I2 = 99.52%; P<0.01) shown in Figure 1. Of the 3527 FMD cases, 376 (10.66%) had TIA. The pooled proportion for TIA was 15% (95%. CI:4‐ 26; I2 = 78.19%; P=0.01). Of the 648 FMD cases, 24 (3.70%) had hemorrhagic strokes. The pooled proportion for hemorrhagic stroke was 6% (95%. CI:1‐ 12; I2 = 80.85%; P=0.03). The Eggers and Beggs tests for incidence of ischemic stroke yielded non‐significant results with p‐values of 0.42 and 0.75, respectively. Female predominance (70‐90%) and multisite disease increase risk of stroke in FMD. Hemorrhagic events are uncommon (4%) but more frequent with multiple CeAD. Recurrent events are highest in carotid webs (20‐30%) compared to other FMD types. Conclusion Our study establishes a significant link between cervical FMD and cerebrovascular events, with a high aggregated incidence of ischemic stroke. The considerable heterogeneity observed across studies necessitates cautious interpretation of these findings. Most centers from the study consider carotid stenting and EVT as generally safe and effective.Our results collectively emphasize the importance of maintaining a high clinical suspicion for stroke, especially in young women presenting with FMD. image

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)0.011
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.018
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.027
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0180.027
Bibliometrics0.0080.009
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.017
GPT teacher head0.282
Teacher spread0.265 · 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 designMeta-analysis
Domainnot available
GenreReview

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
Published2025
Admission routes1
Has abstractyes

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