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Record W2318504051 · doi:10.1136/jnis.2010.003244.16

O-016 Immediate anatomical results after the endovascular treatment of ruptured intracranial aneurysms: comparison of results with GDC and matrix coils in CLARITY series

2010· article· en· W2318504051 on OpenAlexaboutno aff
Christophe Cognard

Bibliographic record

VenueJournal of NeuroInterventional Surgery · 2010
Typearticle
Languageen
FieldMedicine
TopicIntracranial Aneurysms: Treatment and Complications
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineOcclusionAneurysmDigital subtraction angiographyRadiologyEndovascular treatmentSurgeryAngiography

Abstract

fetched live from OpenAlex

Purpose To compare the quality of immediate anatomical results after the endovascular treatment of ruptured aneurysms using GDC and matrix coils in CLARITY series. Methods Postoperative anatomical results were evaluated on digital subtraction angiography, anonymously and independently by two experienced neuroradiologists. Two different scales were used: the Montreal scale and a new scale specifically designed for the present study (CLARITY scale). Results 401 aneurysms were treated using GDC coils and 373 using matrix coils. Immediate anatomical results (Montreal scale) were not significantly different with GDC or matrix coils. In the GDC group, the result was complete occlusion for 197 aneurysms (49.1%), neck remnant for 155 aneurysms (38.7%) and aneurysm remnant for 49 aneurysms (12.2%). In the matrix group, the result was complete occlusion for 168 aneurysms (44.9%), neck remnant for 171 aneurysms (45.7%) and aneurysm remnant for 35 aneurysms (9.4%). Similar results were obtained using the CLARITY scale. The factors affecting the quality of aneurismal occlusion have been studied in both the GDC and matrix groups. Conclusions The postoperative occlusion after endovascular treatment of ruptured aneurysms is satisfying with a high percentage of complete occlusion or neck remnant in both the GDC (87.8%) and matrix (90.6%) groups.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.254
Threshold uncertainty score0.467

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.291
Teacher spread0.269 · 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.

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".

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Citations0
Published2010
Admission routes1
Has abstractyes

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