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Timing of complications during and after elective endovascular intracranial aneurysm coiling

2017· article· en· W2699998908 on OpenAlexaffabout
Michelle Kameda-Smith, Paula Klurfan, Brian Anthony van Adel, Ramiro Larrazabal, Forough Farrokhyar, Michael Bennardo, Þorsteinn Gunnarsson

Bibliographic record

VenueJournal of NeuroInterventional Surgery · 2017
Typearticle
Languageen
FieldMedicine
TopicIntracranial Aneurysms: Treatment and Complications
Canadian institutionsHamilton General HospitalImpactMcMaster University
Fundersnot available
KeywordsMedicineComplicationAneurysmEndovascular coilingSurgeryIncidence (geometry)CohortRetrospective cohort studyAnesthesiaEndovascular treatmentInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine the time to complications during and after elective endovascular intracranial aneurysm coiling. METHODS: A retrospective chart review of patients undergoing elective endovascular aneurysm coiling between March 2006 and October 2013 in one large Eastern Canadian Neurointerventional Service was performed. Data regarding the incidence, time and type of complication related to the endovascular coiling procedure and clinical outcome at last follow-up were collected. Patient, aneurysm and operation factors were analyzed to determine any factors associated with complication occurrence. RESULTS: Of the 150 patient procedures analyzed, 16% experienced a coiling-related complication, although none resulted in death. 6.7% of patients experienced an intraoperative complication, of which thromboembolism was the most common type. The majority of the complications were detected in the first 6 hours after reversal of anesthesia, and a small proportion the next morning prior to discharge. Only 3.3% of patients had persistent neurological deficit after the procedure on last follow-up. Duration of the operation demonstrated a strong association with the occurrence of procedure-related complications. CONCLUSION: This study demonstrates that coiling-related complications of elective endovascular coiling tend to occur either intraoperatively or are detected shortly after reversal of anesthesia. Further investigation with a larger cohort may help to guide important preoperative communication with patients and identify a select group of patients who may not necessarily require prolonged admission to hospital for observation.

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)0.000
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 score0.184
Threshold uncertainty score0.428

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
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 head0.034
GPT teacher head0.290
Teacher spread0.256 · 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

Citations19
Published2017
Admission routes2
Has abstractyes

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