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Record W2578371151 · doi:10.1177/159101990501100210

Definitive Embolization of Meningiomas

2005· article· en· W2578371151 on OpenAlexaff
Brian T. Bateman, Eaton Lin, John Pile‐Spellman

Bibliographic record

VenueInterventional Neuroradiology · 2005
Typearticle
Languageen
FieldMedicine
TopicMeningioma and schwannoma management
Canadian institutionsColumbia College
Fundersnot available
KeywordsMedicineRadiosurgeryEmbolizationPerioperativeSurgeryMeningiomaRadiologyRadiation therapy

Abstract

fetched live from OpenAlex

SUMMARY: This review examines the possible role for definitive embolization as a primary therapy for intracranial meningiomas. Surgery or radiosurgery are currently considered the standard of care for most benign meningiomas. However, each of these carries substantial risks. The perioperative mortality for surgical resection, as reported in large series, is between 3.7-9.4%; these studies report a similarly high rate of new neurological deficits following surgery. The rate of complications from radiosurgery is reported between 2-16% and it may take months to years before improvement in symptoms occurs following this therapy. There are a few reports of treating meningiomas by embolization without subsequent surgery. While these studies include small numbers of patients and have limited follow-up, the initial results are very promising. Given the risks and limitations of surgery and radiosurgery, prospective trials are now needed to determine the safety and efficacy of definitive embolization.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.030
GPT teacher head0.304
Teacher spread0.274 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations11
Published2005
Admission routes1
Has abstractyes

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