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Record W2944663811 · doi:10.15353/cjo.78.478

Bilateral Anterior Ischemic Optic Neuropathy During Treatment with Pegylated Interferon and Ribavirin

2016· article· en· W2944663811 on OpenAlexvenueno aff
Jason Rinehart, Lisa V. Stottlemyer

Bibliographic record

VenueCanadian journal of optometry/CJO. Canadian journal of optometry · 2016
Typearticle
Languageen
FieldMedicine
TopicRetinal and Optic Conditions
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRibavirinAnterior ischemic optic neuropathyOptic neuropathyPegylated interferonCirrhosisHepatocellular carcinomaCotton wool spotsHepatitis C virusHepatitis CAdverse effectPathogenesisGastroenterologySide effect (computer science)RetinopathyInternal medicineImmunologyOphthalmologyDiabetes mellitusVirusOptic nerve

Abstract

fetched live from OpenAlex

Hepatitis C virus (HCV) is a blood-borne pathogen that often results in chronic liver infection leaving patients at risk for cirrhosis, liver decompensation and hepatocellular carcinoma. The goal of therapy is to eliminate the virus in order to minimize morbidity and mortality from HCV infection. Traditional treatment has utilized a combination of pegylated-interferon (IFN) and ribavirin that often causes both systemic and ocular side effects. The most common ocular side effects are retinal hemorrhages and cotton wool spots, although in rare circumstances more significant ophthalmic adverse events have been attributed to IFN therapy. Here we discuss a case of bilateral anterior ischemic optic neuropathy (AION) that occurred during treatment with IFN and ribavirin for HCV genotype 1. We review the proposed pathogenesis of ocular side effects associated with this regimen, as well as the pathogenesis and risk factors associated with AION itself. Finally, we will offer clinical recommendations for screening for more than retinopathy should a patient present with ophthalmic complications.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.265
Teacher spread0.256 · 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 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
Published2016
Admission routes1
Has abstractyes

Explore more

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