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Optic nerve hemangioblastomas – a review of visual outcomes

2016· review· en· W2518015859 on OpenAlexaff
Mazda K. Turel, Walter Kucharczyk, Fred Gentili

Bibliographic record

VenueTurkish Neurosurgery · 2016
Typereview
Languageen
FieldMedicine
TopicOcular Oncology and Treatments
Canadian institutionsToronto General HospitalUniversity Health NetworkToronto Western Hospital
Fundersnot available
KeywordsMedicineHemangioblastomaOptic nervePresentation (obstetrics)LesionCLARITYDifferential diagnosisRadiologyOphthalmologySurgeryPathology

Abstract

fetched live from OpenAlex

Supratentorial hemangioblastomas (HBLs) are exceedingly uncommon. They account for less than 5% of all central nervous system HBLs. The commonest location is the cerebral cortex. Rarely, they can involve the visual pathway. Most of the reports have focused on the differential diagnosis, since depending on the location they can often resemble optic nerve gliomas or meningiomas of the optic nerve sheath. In this study, we describe a 67-year-old man with progressive diminution of vision in the left eye with an optic nerve hemangioblastoma. There was no history of von Hippel-Lindau disease. We discuss the diagnostic challenges, and review the visual presentation and visual outcomes in these patients. This report, we believe, may add further clarity in counseling patients with an optic nerve lesion and the factors in surgical decision-making.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.040
GPT teacher head0.371
Teacher spread0.331 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations13
Published2016
Admission routes1
Has abstractyes

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