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Record W2315363447 · doi:10.1097/ico.0b013e3182120f73

Successful Corneal Autograft After Clearance of Anterior Chamber Cytomegalovirus With Oral Valganciclovir in a Patient With Multiple Failed Corneal Allografts

2011· article· en· W2315363447 on OpenAlexaff
Jed Lusthaus, Peter Kim, Alicia Steller, Zin Naing, Gillian M. Scott, William D. Rawlinson, Lyon P. Robinson, Peter McCluskey, Alfred W Wechsler

Bibliographic record

VenueCornea · 2011
Typearticle
Languageen
FieldMedicine
TopicCytomegalovirus and herpesvirus research
Canadian institutionsBC Children's Hospital
Fundersnot available
KeywordsValganciclovirMedicineCytomegalovirusOphthalmologyParacentesisAnterior uveitisVisual acuityGanciclovirSurgeryHuman cytomegalovirusUveitisVirusHerpesviridaeVirologyViral disease

Abstract

fetched live from OpenAlex

PURPOSE: To report a case of recurrent corneal graft failure because of cytomegalovirus (CMV) infection and to demonstrate successful clearance of the virus with oral valganciclovir, confirmed by polymerase chain reaction (PCR) assay. This allowed for a successful corneal autograft to be performed. METHODS: Interventional case report. RESULTS: A 90-year-old white man with 4 previous corneal graft failures in his right eye is presented. His visual acuity was no light perception in the left eye subsequent to ocular trauma. His initial penetrating keratoplasty for pseudophakic bullous keratopathy was from a human leukocyte antigen-matched multiorgan donor who was CMV-seropositive. An anterior chamber paracentesis was performed to exclude an infective etiology. CMV was detected on PCR of aqueous humor. After a 12-week course of oral valganciclovir, a repeat aqueous PCR test confirmed the clearance of CMV. A corneal autograft from his left eye was subsequently performed with good outcome. CONCLUSIONS: We present a case of successful corneal autograft after clearance of CMV from the anterior chamber (PCR confirmed) in a patient treated with oral valganciclovir.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
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
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.023
GPT teacher head0.260
Teacher spread0.237 · 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

Citations6
Published2011
Admission routes1
Has abstractyes

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