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Record W4415559120 · doi:10.1101/2025.10.23.25338701

Endovascular Treatment of Symptomatic Vasospasm and Delayed Cerebral Ischemia after Aneurysmal Subarachnoid Hemorrhage – a Systematic Review and Meta-analysis

2025· preprint· W4415559120 on OpenAlexaboutno aff
Michael Veldeman, Tobias Rossmann, Roel Haeren, Hanna Schenck, Rahul Raj, Charlotte S. Weyland

Bibliographic record

VenuemedRxiv · 2025
Typepreprint
Language
FieldMedicine
TopicIntracranial Aneurysms: Treatment and Complications
Canadian institutionsnot available
FundersDeutsche Forschungsgemeinschaft
KeywordsVasospasmSubarachnoid hemorrhageRandomized controlled trialEndovascular treatmentIschemiaCerebral vasospasmComplicationClinical trialProspective cohort study

Abstract

fetched live from OpenAlex

Abstract Introduction Endovascular rescue treatment, including intra-arterial spasmolysis and/or transluminal balloon angioplasty, is widely used for symptomatic vasospasm and delayed cerebral ischemia (DCI) after aneurysmal subarachnoid hemorrhage (aSAH), yet its impact on functional recovery remains uncertain. We systematically reviewed and synthesized the evidence on patient-centered outcomes, exploring effects by follow-up time, intervention type, and clinical severity. Materials and methods Following a prospectively registered protocol (Research Registry: reviewregistry1466) and PRISMA guidance, we searched PubMed, EMBASE, and Web of Science (January 2000–December 2024; final update July 2025). Prospective and retrospective studies of adult aSAH patients receiving endovascular treatment for symptomatic angiographic vasospasm were included. Data extraction followed a standardized PICO framework, and study quality was assessed using the Newcastle–Ottawa Scale. Because reporting of angiographic resolution and DCI-related infarction was sparse or inconsistent, quantitative synthesis focused on dichotomized favorable functional outcome (e.g., mRS 0–2 or GOS good recovery). Single-arm meta-analyses of proportions were performed on the logit scale using random-effects generalized linear mixed models, with subgrouping by follow-up, intervention, and clinical severity. Results Thirty-nine studies (1,627 patients; 27 retrospective cohorts, 5 prospective cohorts, 5 case series, 2 randomized trials) met inclusion criteria; 38 contributed to meta-analysis. The pooled proportion of favorable functional outcomes was 0.55 (95% CI, 0.50–0.61) with substantial heterogeneity (I² ≈ 71%). Prespecified subgroup analyses by follow-up duration, intervention type, and baseline severity did not reveal significant differences. The two randomized trials reported conflicting short-term results with limited follow-up. Safety reporting was variable but generally acceptable for pharmacologic spasmolysis, while higher complication rates were occasionally observed with mechanical interventions. Conclusion Among patients with symptomatic vasospasm or DCI requiring endovascular rescue, approximately half achieve a favorable functional outcome. However, marked heterogeneity and reliance on predominantly observational data preclude firm conclusions regarding comparative effectiveness. Standardized multicenter randomized trials with harmonized definitions of eligibility, timing, outcomes, and adverse events are needed to clarify the therapeutic role and optimize patient selection for endovascular rescue after aSAH.

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)0.012
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.983
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.028
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0170.022
Bibliometrics0.0080.009
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0020.001
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 head0.022
GPT teacher head0.266
Teacher spread0.245 · 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.

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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