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Record W4417324665 · doi:10.3899/jrheum.2025-0127

Hydroxychloroquine Ocular Toxicity: A Comprehensive Review

2025· review· en· W4417324665 on OpenAlexaffvenue
Marisa Sit, Ryan H. Mason, Alexander Kaplan

Bibliographic record

VenueThe Journal of Rheumatology · 2025
Typereview
Languageen
FieldMedicine
TopicDrug-Induced Ocular Toxicity
Canadian institutionsToronto Rehabilitation InstituteUniversity of Toronto
Fundersnot available
KeywordsHydroxychloroquineAdverse effectRheumatoid arthritisSafety profileLupus erythematosusEye disease

Abstract

fetched live from OpenAlex

Hydroxychloroquine (HCQ) is a pharmacological agent in the management of various rheumatological disorders, including systemic lupus erythematosus and rheumatoid arthritis. Its therapeutic effects are attributed to its immunomodulatory and antimicrobial properties, and it is widely used due to its efficacy, relatively low cost, and generally favorable safety profile. Despite its well-established clinical utility, chronic use of HCQ is associated with serious ocular side effects. This review covers the history, pharmacokinetics, and ocular safety profile of HCQ, with a focus on the risk, diagnosis, and screening for ocular toxicity. Retinopathy, the most significant adverse ocular side effect, may lead to irreversible vision loss if not promptly detected.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.041
GPT teacher head0.359
Teacher spread0.318 · 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 designNot applicable
Domainnot available
GenreReview

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 routes2
Has abstractyes

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