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Record W4407252401 · doi:10.1159/000543971

Improvement in Dry Age-Related Macular Degeneration with Photobiomodulation

2025· article· en· W4407252401 on OpenAlexaff
Xiang Ji, Lauren Pickel, Alan R. Berger, Nirojini Sivachandran

Bibliographic record

VenueCase Reports in Ophthalmology · 2025
Typearticle
Languageen
FieldMedicine
TopicRetinal Diseases and Treatments
Canadian institutionsToronto Metropolitan UniversityUniversity of OttawaSt. Michael's HospitalToronto Rehabilitation InstituteUniversity of Toronto
Fundersnot available
KeywordsMedicineMacular degenerationOphthalmologyDegeneration (medical)Optometry

Abstract

fetched live from OpenAlex

Introduction: This case report describes a finding of dramatic improvement in drusen volume and visual acuity in a 73-year-old patient diagnosed with dry age-related macular degeneration (AMD) undergoing daily home photobiomodulation alongside AREDS-2 supplements. Case Presentation: This is a retrospective review of a case presentation from 2023 to 2024. After 8 months of continuous home photobiomodulation, the patient's visual acuity improved from 20/30 to 20/20 in the left eye while the right eye stabilized at 20/25. The outer retina was preserved without signs of geographic atrophy, with a robust reduction in the total number and volume of drusen in both eyes, left greater than right, as shown with optical coherence tomography macular cross-sectional scans. Conclusions: These findings support that photobiomodulation has the potential to improve the management of dry AMD and the overall quality of life, consistent with phase III clinical trials. Future studies are warranted to further establish optimized protocols for broader clinical implementation.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.310
Threshold uncertainty score0.405

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 studies0.0000.000
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 head0.012
GPT teacher head0.309
Teacher spread0.297 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

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