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Record W4388146162 · doi:10.15353/cjo.v84i3.1556

Case Report: Retinal nerve fiber layer and ganglion cell thinning on spectral domain optical coherence tomography following multiple strokes

2022· article· en· W4388146162 on OpenAlexvenueno aff
Nicholas Andrew Froumis

Bibliographic record

VenueCanadian journal of optometry/CJO. Canadian journal of optometry · 2022
Typearticle
Languageen
FieldMedicine
TopicGlaucoma and retinal disorders
Canadian institutionsnot available
Fundersnot available
KeywordsNerve fiber layerOptical coherence tomographyMedicineOphthalmologyNerve fibre layerGanglionRetinalVisual fieldFundus (uterus)Ganglion cell layerAnatomy

Abstract

fetched live from OpenAlex

A 62-year-old Caucasian male presented for a routine exam with a history of a significant stroke suffered 5 years prior resulting in temporary aphasia and persistent visual field loss. At presentation, best correctable acuities were 20/20+ OU through mild hyperopic astigmatic correction. Visual field testing with frequency doubling technology revealed an incongruous left superior quandrantanopia. Anterior segments demonstrated mild bilateral mixed blepharitis but were otherwise unremarkable. Dilated fundus examination with spectral domain optical coherence tomography revealed moderate disc cupping and marked, symmetric inferior and temporal RNFL thinning, as well as diffuse bilateral ganglion cell thinning. This case demonstrates how OCT can be used as an objective test to detect retrograde neve fiber and ganglion cell loss secondary to post-chiasmal pathology.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.002
Science and technology studies0.0040.002
Scholarly communication0.0020.002
Open science0.0020.002
Research integrity0.0070.004
Insufficient payload (model declined to judge)0.0030.001

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 head0.011
GPT teacher head0.271
Teacher spread0.259 · 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 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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Same venueCanadian journal of optometry/CJO. Canadian journal of optometrySame topicGlaucoma and retinal disordersFrench-language works237,207