MétaCan
Menu
Back to cohort
Record W4408932778 · doi:10.1055/a-2568-4665

Report of the Outcome of 6-year Blood Blister-Like Aneurysm Treatment Using Clipping Technique: A Single-Center Experience

2025· article· en· W4408932778 on OpenAlexaff
Iman Ahrari, Abdolkarim Rahmanian, Meisam Eqbal, Mahsa Ghavipisheh, Ali Namjoo-Moghadam, Ehsan Mohammad Hosseini, Mohammad Jamali

Bibliographic record

VenueJournal of Neurological Surgery Part A Central European Neurosurgery · 2025
Typearticle
Languageen
FieldMedicine
TopicKawasaki Disease and Coronary Complications
Canadian institutionsConcordia University
Fundersnot available
KeywordsClipping (morphology)Single CenterAneurysmMedicineCenter (category theory)Outcome (game theory)SurgeryMathematicsChemistryPhilosophy

Abstract

fetched live from OpenAlex

Blood blister-like aneurysms (BBA) are rare vascular lesions with challenging treatment. While direct surgery has been the primary technique for treating BBA, there has been a shift toward endovascular methods in recent years. This article presents a retrospective case series of patients treated with direct surgery at our center over a 6-year period.Patients who underwent surgery for BBA from 2014 to 2019 were evaluated. Data on surgical procedures, complications, and clinical outcomes were obtained from patients' medical records. Additionally, patients were contacted to provide updates on their treatment outcomes.A total of 17 patients were treated for BBA during the study period. All cases presented with subarachnoid hemorrhage and were treated using the clipping method. Intraoperative rupture occurred in 11 patients. Additionally, internal carotid artery sacrificing was done in five patients due to avulsion during surgery. Of these 17 patients, 11 (64.7%) had favorable outcomes following surgery, while the mortality rate was 29.4% (5 patients).The rate of favorable outcomes and mortality associated with the direct surgery technique at our center was comparable to results from other centers. Further studies are required to determine the optimal method for treating BBA.

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)0.001
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 score0.059
Threshold uncertainty score0.744

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
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 head0.089
GPT teacher head0.306
Teacher spread0.217 · 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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Neurological Surgery Part A Central European NeurosurgerySame topicKawasaki Disease and Coronary ComplicationsFrench-language works237,207