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Record W4409729781 · doi:10.7759/cureus.82843

Functional and Anatomical Changes of Acute Solar Retinopathy Investigated With Electroretinography and Optical Coherence Tomography: A Case Report

2025· article· en· W4409729781 on OpenAlexaff
Korolos Sawires, Bonnie He, Jeff Locke, Jennifer Gao, R. Rishi Gupta

Bibliographic record

VenueCureus · 2025
Typearticle
Languageen
FieldMedicine
TopicRetinal and Optic Conditions
Canadian institutionsSt Martha's Regional HospitalDalhousie University
Fundersnot available
KeywordsMedicineOptical coherence tomographyElectroretinographyOphthalmologyOptometryRetinal

Abstract

fetched live from OpenAlex

The purpose of this case is to illustrate how early electroretinography (ERG) can be used to investigate functional macular changes caused by acute solar retinopathy. This is a case report of a 44-year-old woman who presented on April 12, 2024 with acute solar retinopathy after viewing the solar eclipse on April 8, 2024 without wearing solar viewing glasses. The patient's best corrected visual acuity (BCVA) was 20/800 OU. Yellow macular lesions were seen on fundoscopy bilaterally. Spectral domain optical coherence tomography (SD-OCT, Spectralis; Heidelberg Engineering, Heidelberg, Germany) revealed bilateral foveal hyperreflectivity of the outer retina with attenuation of the external limiting membrane, ellipsoid zone, and retinal pigment epithelium (RPE) interdigitation line. Early ERG was performed to determine retinal function. Full field ERG (ffERG) demonstrated normal generalized retinal function OU; however, multifocal ERG (mfERG) showed bilateral macular dysfunction primarily affecting the foveal and parafoveal regions. These findings persisted at the two-month follow-up with no significant improvement in the BCVA. Acute solar retinopathy presents with anatomical changes to the retinal layers, particularly photoreceptors. Damage and disruption to photoreceptors can result in consequent apoptosis and atrophy that can be seen on fundoscopy and OCT imaging. Measures of retinal function, such as ERG, can be used in determining baseline and progression of visual function. Additionally, this case illustrates the importance of public health measures to educate the general population about the dangers of sungazing.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.128
Threshold uncertainty score0.379

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.011
GPT teacher head0.252
Teacher spread0.241 · 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 designObservational
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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