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Record W4307134401 · doi:10.14740/jnr726

Conservative Management for an Infratentorial Pial Arteriovenous Fistula in an Elderly Patient: A Case Report

2022· article· en· W4307134401 on OpenAlexvenueno aff
Paula Eboli, Daniel Chang, Robin Babadjouni

Bibliographic record

VenueJournal of Neurology Research · 2022
Typearticle
Languageen
FieldMedicine
TopicVascular Malformations Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMagnetic resonance imagingDigital subtraction angiographyRadiologyNatural historyConservative managementVertigoArteriovenous malformationAngiographyArteriovenous fistulaEmbolizationMagnetic resonance angiographyLesionSurgeryComputed tomography angiographyInternal medicine

Abstract

fetched live from OpenAlex

Pial arteriovenous fistulas (pAVFs) are rare vascular malformations requiring intervention in neonates and infants, but the natural course in the elderly population remains unclear. We describe the case of a 78-year-old man with transient symptoms of vertigo and diplopia. Workup including magnetic resonance imaging (MRI) and computed tomography angiography (CTA) demonstrated no acute infarct or hemorrhage to explain the symptoms, but a vascular lesion was noted in the right cerebellum. Digital subtraction angiography confirmed the diagnosis of a pAVF. After review of the literature and discussion with the patient, conservative monitoring with serial imaging was elected. The patient was followed up with repeat CTA which demonstrated stable findings, and the patient remained at his neurologic baseline on long-term follow-up. pAVFs are often symptomatic lesions when found in neonates and infants, necessitating intervention. The findings of these lesions in the elderly (> 70 years of age) are exceedingly rare in the literature and may follow a benign natural course. Without direct evidence of associated symptoms or pathologic findings, conservative management with serial imaging may be a reasonable option for incidentally found pAVFs. J Neurol Res. 2022;12(3):128-131 doi: https://doi.org/10.14740/jnr726

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)0.002
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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.324
Threshold uncertainty score0.292

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 integrity0.0000.001
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 head0.114
GPT teacher head0.412
Teacher spread0.299 · 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 designCase report
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
Published2022
Admission routes1
Has abstractyes

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