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Record W2962446836 · doi:10.1097/icl.0000000000000635

Utility of HSV Serology for Chronic Corneal Pathology

2019· article· en· W2962446836 on OpenAlexaff
John Wang, Daniel Cherfan, Jeffrey M. Goshe

Bibliographic record

VenueEye & Contact Lens Science & Clinical Practice · 2019
Typearticle
Languageen
FieldMedicine
TopicHerpesvirus Infections and Treatments
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSerologyMedicineHerpes simplex virusSeroprevalenceDermatologyEtiologyKeratitisInternal medicineImmunologyVirusAntibody

Abstract

fetched live from OpenAlex

OBJECTIVES: The purpose of this study is to determine the utility of obtaining herpes simplex virus (HSV) serology for patients presenting with chronic corneal pathology of unknown etiology for which HSV is a diagnostic consideration. METHODS: A retrospective analysis was performed of all patients presenting to one cornea specialist (J.M.G.) between August 2011 and April 2018 with a chronic (>6 weeks) corneal condition for which HSV was suspected and serology was performed. Patient demographics, clinical presentation, treatment, final diagnosis, and follow-up duration were recorded. RESULTS: Fifty-four patients with a median age of 52 (range: 5-85) years were included in the study. Patients were classified by presenting clinical features as corneal ulcer (46.2%), stromal keratitis (24.1%), superficial keratitis (18.5%), or keratouveitis (11.1%). The seroprevalence of HSV-1 and HSV-2 antibodies were 42.6% and 18.5%, including 5 patients (9.3%) positive for both HSV-1 and HSV-2. Serology impacted management for all patients with negative titers (48.1%), defined as discontinuing antiviral medication, electing not to start antiviral medication, or continuing antiviral medication for a non-HSV etiology (e.g., varicella zoster keratitis). No patients with HSV serology were ultimately diagnosed with HSV keratitis. Median follow-up duration was 1.5 years (range 0.8-6.6 years). CONCLUSION: Although only useful when negative, our study confirms that serology may be useful for excluding HSV as a diagnostic consideration for patients presenting with chronic corneal pathology. The seroprevalence of HSV antibodies for our patient cohort was comparable with previous population-based studies.

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)0.004
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.245
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.074
GPT teacher head0.453
Teacher spread0.379 · 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

Citations3
Published2019
Admission routes1
Has abstractyes

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