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Record W4411662208 · doi:10.1080/13816810.2025.2521657

Unilateral maculopathy associated with autosomal dominant bestrophinopathy

2025· article· en· W4411662208 on OpenAlexaff
Miguel Cruz-Pimentel, Tom Wright, Kenneth T. Eng, Brian G. Ballios

Bibliographic record

VenueOphthalmic Genetics · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRetinal Development and Disorders
Canadian institutionsSunnybrook Health Science CentreUniversity Health NetworkHealth Sciences CentreKensington HealthUniversity of Toronto
FundersRetina Research Foundation
KeywordsMaculopathyOphthalmologyMedicineOptometryBiologyRetinopathyEndocrinology

Abstract

fetched live from OpenAlex

Purpose To describe the presentation of Best Vitelliform Macular Dystrophy (BVMD) as a unilateral maculopathy with bilateral retinal pigment epithelium (RPE) reduced function secondary to molecular changes or variants in BEST1 gene.Methods Retrospective case series.Results Both patients exhibited unilateral anatomical changes during fundus examination caused by pathogenic variants in BEST1. These changes were also evident in fundus autofluorescence (FAF) and optical coherence tomography (OCT) images. However, both patients displayed evidence of global RPE dysfunction, which was confirmed by a reduced light peak-to-dark trough amplitude ratio (LP: DT ratio) on the electrooculogram (EOG).Conclusion Autosomal dominant variants in the BEST1 gene can manifest as unilateral disease. In such cases, it is important to conduct genetic testing promptly to confirm the presence of bestrophinopathy. When counseling the patient, it is essential to discuss the potential for future anatomical involvement in the unaffected eye.

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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
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 head0.005
GPT teacher head0.226
Teacher spread0.221 · 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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