Middle Meningeal Artery Embolization for Subdural Hematoma: Systematic Review and Meta-Analysis of Randomized Trials
Bibliographic record
Abstract
ABSTRACT Objective: Embolization of the middle meningeal artery (EMMA) is an emerging neuroendovascular therapy for chronic subdural hematoma (CSDH). Recently, three landmark randomized trials (MAGIC-MT, EMBOLISE, STEM) were published. We performed a systematic review and meta-analysis of randomized trials for EMMA. Methods: The authors systematically searched MEDLINE, EMBASE, Cochrane and ClinicalTrials.gov (National Library of Medicine) through March 6, 2025. Prospective randomized controlled trials comparing EMMA and standard care versus standard care alone were included. Primary (symptomatic recurrence, symptomatic progression, major adverse event, neurological deterioration, stroke, myocardial infarction and/or death) and secondary endpoints (serious adverse events, stroke, death from any cause and death from neurological causes) were analyzed. The review was registered on PROSPERO (CRD42024512049). Results: Four randomized trials (Lam et al ., MAGIC-MT, EMBOLISE, STEM) were meta-analyzed. A total of 1468 patients were included. The primary endpoint was met in 50 patients (7.5%) in the EMMA group compared to 106 patients (15.5%) in the control group (RR 0.49 [95% CI, 0.36–0.67]; P < 0.001, I 2 = 0.0%), with a number needed to treat of 13. There was no difference in serious adverse events (RR 0.88 [95% CI 0.68–1.13]; P = 0.31, I 2 = 50.2%), stroke (RR 1.51 [95% CI 0.46–5.01]; P = 0.50, I 2 = 0.0%), death from any cause (RR 1.03 [95% CI 0.37–2.85]; P = 0.95, I 2 = 58.1%) or death from neurological causes (RR 1.29 [95% CI 0.53–3.09]; P = 0.58, I 2 = 25.4%). Conclusions: EMMA is effective in reducing symptomatic recurrence, progression and/or reoperation among patients with CSDH and is not associated with a greater incidence of serious adverse events, stroke or death.
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 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 | 0.014 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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; a candidate call from one teacher head, not a consensus.
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".