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Record W2923718383 · doi:10.1159/000495808

Surgical Superior Sagittal Sinus Thrombectomy in Refractory Thrombosis: A Technical Note

2019· article· en· W2923718383 on OpenAlexaff
Harrison J. Westwick, Sami Obaïd, Frederique Bordeleau-Roy, Eric Truffer, Alexander G. Weil

Bibliographic record

VenuePediatric Neurosurgery · 2019
Typearticle
Languageen
FieldMedicine
TopicCerebral Venous Sinus Thrombosis
Canadian institutionsCentre intégré universitaire de santé et de services sociaux de la Mauricie-et-du-Centre-du-QuébecUniversité de MontréalInnovation and Economic Development Trois RivièresCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsMedicineSuperior sagittal sinusSurgeryRefractory (planetary science)ThrombosisSSS*Decompressive craniectomyInternal medicineTraumatic brain injury

Abstract

fetched live from OpenAlex

OBJECTIVE: Surgical treatment options are limited for medically and endovascular refractory cerebral venous sinus thrombosis (CVT). We describe the technical feasibility of open, direct sinus thrombectomy in a pediatric patient with medically and endovascular refractory CVT. METHODS: A 15-year-old patient with superior sagittal sinus (SSS) thrombosis refractory to medical and endovascular treatment experienced clinical deterioration with the progression of bifrontal hematomas and cerebral edema. The patient was treated surgically with a decompressive hemicraniectomy and burr hole SSS thrombectomy with a Fogarty balloon and direct sinus injection of tissue plasminogen activator. RESULTS: Surgical treatment with decompressive craniotomy and direct sinus thrombectomy was technically feasible with excellent intracranial pressure control, and radiological recanalization of the superior sagittal sinus with a good clinical outcome. CONCLUSION: Direct surgical sinus thrombectomy is a potential concomitant treatment strategy with decompressive craniectomy for medically refractory CVT in a pediatric setting.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.017
GPT teacher head0.275
Teacher spread0.258 · 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; both teacher heads agree on what is shown here.

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

Citations3
Published2019
Admission routes1
Has abstractyes

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