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Record W2410048128 · doi:10.3899/jrheum.151436

Retinopathy in the Era of Routine Hydroxychloroquine Monitoring

2016· letter· en· W2410048128 on OpenAlexvenueno aff
Eric Weinlander, Alexander L. Ringeisen, Mihai Mititelu

Bibliographic record

VenueThe Journal of Rheumatology · 2016
Typeletter
Languageen
FieldMedicine
TopicDrug-Induced Ocular Toxicity
Canadian institutionsnot available
Fundersnot available
KeywordsHydroxychloroquineMedicineRetinopathyDosingRheumatologySystemic lupus erythematosusLupus erythematosusBlindnessInternal medicineDermatologyOphthalmologyDiseaseOptometryImmunologyEndocrinologyCoronavirus disease 2019 (COVID-19)

Abstract

fetched live from OpenAlex

Hydroxychloroquine (HCQ) is a vital component of systemic lupus erythematosus (SLE) treatment, but it carries a significant risk of irreversible blindness from HCQ retinopathy. HCQ retinopathy is relatively rare, but new, more sensitive diagnostic techniques report a prevalence of up to 7.5% 1 . Moreover, HCQ retinopathy may progress even after cessation of therapy 2 , so early detection and primary prevention are critical. Currently, primary prevention consists of controlling the daily dose and/or cumulative dose to prevent overdosage 3 . We therefore read with great interest "Hydroxychloroquine Blood Levels in Systemic Lupus Erythematosus: Clarifying Dosing Controversies and Improving Adherence" by Durcan, et al 4 in The Journal of Rheumatology. We point out the implications of their findings for the use of weight-based dosing and the evidence base for HCQ retinopathy prevalence.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.399
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.005
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 head0.018
GPT teacher head0.273
Teacher spread0.254 · 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.

Study designNot applicable
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

Citations4
Published2016
Admission routes1
Has abstractyes

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