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Record W7117512475 · doi:10.5693/djo.03.2024.10.003

A 46-year-old woman with bilateral white retinal vessels

2025· article· W7117512475 on OpenAlexaff
Joanne Christine E. Macenas-Wong, Aaron W. Joe

Bibliographic record

VenueDigital Journal of Ophthalmology · 2025
Typearticle
Language
FieldMedicine
TopicLipid metabolism and disorders
Canadian institutionsUniversity of British Columbia, Okanagan CampusKelowna General Hospital
Fundersnot available
KeywordsRetinalFluorescein angiographyContext (archaeology)AsymptomaticRetina

Abstract

fetched live from OpenAlex

An asymptomatic 46-year-old woman was incidentally found on routine examination to have bilateral creamy white tortuous retinal vessels with preserved visual acuity. Multimodal imaging, including optical coherence tomography, optical coherence tomography–angiography, and fluorescein angiography, demonstrated hyperreflective dilated retinal vessels with normal retinal perfusion and no evidence of ischemia. In the setting of markedly elevated triglyceride levels and recurrent pancreatitis, the characteristic retinal vascular appearance supported a diagnosis of lipemia retinalis in the context of chylomicronemia syndrome. No ocular treatment was required and management focused on systemic metabolic control through dietary modification, lifestyle changes, and lipid-lowering therapy, resulting in resolution of the anomalous retinal vasculature. This case illustrates lipemia retinalis as a retinal manifestation within the broader spectrum of chylomicronemia syndrome and underscores the importance of recognizing these characteristic vascular findings as a marker of significant systemic lipid dysregulation requiring ongoing multidisciplinary management.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.001

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 spread0.260 · 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
Published2025
Admission routes1
Has abstractyes

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