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Record W2555055243 · doi:10.1097/ico.0000000000001087

Peripheral Ulcerative Keratitis Secondary to Chronic Hepatitis B Infection

2016· article· en· W2555055243 on OpenAlexaff
David Wei, Christian Pagnoux, Clara C. Chan

Bibliographic record

VenueCornea · 2016
Typearticle
Languageen
FieldMedicine
TopicHepatitis B Virus Studies
Canadian institutionsUniversity of TorontoMount Sinai HospitalQueen's University
Fundersnot available
KeywordsMedicineDermatologyPhotophobiaVasculitisVisual acuityPrednisoneRheumatoid factorCryoglobulinemiaSurgeryPathologyRheumatoid arthritisImmunologyHepatitis C virusVirus

Abstract

fetched live from OpenAlex

PURPOSE: To report a unique case of peripheral ulcerative keratitis secondary to hepatitis B virus (HBV)-associated cryoglobulinemia and vasculitis and its pharmacological and surgical treatment and 2-year follow-up. METHODS: A 52-year-old woman presented with unilateral eye pain and photophobia, arthralgia, remnants of a maculopapular rash, and subsequently facial numbness several weeks later. Her best spectacle-corrected visual acuity (BSCVA) in the affected eye was 20/80. Slit-lamp examination revealed severe superior corneal thinning without infiltrate. Corneal ulceration worsened until 10% of the cornea remained. Laboratory workup was positive for rheumatoid factor and revealed significantly decreased C4 complement, and HBV serology was positive. RESULTS: Clinical history, examinations, and laboratory results suggest HBV-associated cryoglobulinemia and vasculitis. Management included prednisone, cyclophosphamide, and mycophenolate mofetil for immunosuppression and tenofovir for HBV treatment. Conjunctival resection and a glue patch were used to reduce inflammation and stabilize corneal melt. BSCVA improved after treatment was initiated. Two years after initial presentation, her BSCVA is 20/30, significantly improved from her vision at presentation. CONCLUSIONS: Diagnosis of peripheral ulcerative keratitis requires thorough history and physical examinations given the numerous causes. Prompt treatment including immunosuppressive medication and, in this case, antiviral medication is crucial to preventing serious visual consequences including corneal perforation and blindness.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.017
GPT teacher head0.273
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations18
Published2016
Admission routes1
Has abstractyes

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