Risk factors for cerebral vasospasm following arteriovenous malformation-related hemorrhage: a systematic review and meta-analysis
Bibliographic record
Abstract
Cerebral vasospasm (CVS) is a severe complication associated with significant morbidity and in-hospital mortality. While well characterized in aSAH, its occurrence following AVM-related hemorrhage remains less understood. To address this gap, a meta-analysis adhering to PRISMA guidelines was conducted, with two independent authors searching PubMed, Scopus, and Web of Science from inception to July 2024, seeking studies on CVS risk factors following AVM-related hemorrhage. Study quality was assessed using the Newcastle-Ottawa Scale (NOS). Dichotomous variables were pooled into an overriding odds ratio (OR) with a 95% confidence interval (CI), while continuous variables were analyzed using the mean difference (MD) with a 95% CI, both using a random-effects model. Out of 2360 screened articles, 4 studies met the inclusion criteria, totaling 7483 AVM-related hemorrhage patients, 958 of whom developed CVS. All studies were rated high quality, according to NOS. A total of 10 extractable demographic, behavioral, clinical, and radiographic variables reported in the literature were assessed. The following CVS risk factors were statistically significant: younger age (MD = -4.99; 95% CI [-9.40 to -0.57]; p = 0.03), female sex (OR = 1.72; 95% CI [1.50-1.98]; p < 0.00001), and intraventricular hemorrhage (OR = 1.24; 95% CI [1.04-1.48]; p = 0.02). Subarachnoid hemorrhage was close to significance (OR = 1.17; 95% CI [1.00-1.36]; p = 0.05). This is the first systematic review and meta-analysis to identify risk factors for CVS in the context of AVM-related hemorrhage. The presented findings may aid clinicians in recognizing high-risk individuals. Further research is warranted to develop a reliable risk scoring system that can predict AVM-associated CVS in clinical settings and to further explore the differences between CVS following aSAH and AVM-related hemorrhage.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.017 | 0.013 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".