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Record W4407113895 · doi:10.1177/15910199251318408

Embolization of middle meningeal artery (EMMA) for non-acute subdural hematoma: Insight from recent randomized trials and meta-analysis

2025· editorial· en· W4407113895 on OpenAlexaff
Jai Shankar

Bibliographic record

VenueInterventional Neuroradiology · 2025
Typeeditorial
Languageen
FieldMedicine
TopicNeurosurgical Procedures and Complications
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMedicineRandomized controlled trialHematomaMeta-analysisClinical trialAdverse effectSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Embolization of the middle meningeal artery (EMMA) has emerged as a promising treatment for non-acute subdural hematoma (NASDH), either as an adjunct to surgical drainage or as a primary intervention in patients not undergoing surgery. Recent randomized controlled trials (RCTs) have investigated the efficacy of EMMA using dimethyl sulfoxide (DMSO)-based agents like ONYX and SQUID. The EMBOLISE trial demonstrated a significant reduction in hematoma recurrence with adjunctive EMMA, while the STEM trial showed similar benefits at 180 days. Conversely, the MAGIC MT trial found no significant difference in recurrence rates with EMMA. A meta-analysis of these trials confirmed EMMA's safety, with no significant increase in serious adverse events. The analysis indicated a modest overall benefit in reducing NASDH recurrence (risk difference −0.09, P = 0.02), though results were largely driven by the STEM trial. The benefit of adjunctive EMMA was less clear, with no significant effect found. Primary EMMA showed marginal benefit but with considerable variability. Factors such as primary outcome, trial design, patient demographics, and surgical biases complicate the interpretation of these findings. While the safety of EMMA is supported, its clinical efficacy remains inconclusive. Further trials, including patient-level meta-analyses, are needed to refine the role of EMMA in NASDH management and address existing gaps in the literature.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.494
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0070.005
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.115
GPT teacher head0.385
Teacher spread0.270 · 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 teacher head, not a consensus.

Study designMeta-analysis
Domainnot available
GenreEditorial

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

Citations5
Published2025
Admission routes1
Has abstractyes

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