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Record W2943842039 · doi:10.22374/jded.v2i1.12

Cryopreserved Amniotic Membrane (ProKera) Treatment of Anterior Stromal Haze Secondary to HSV Keratitis

2019· article· en· W2943842039 on OpenAlexvenueno aff
Richard Maharaj

Bibliographic record

VenueJournal of Dry Eye Disease · 2019
Typearticle
Languageen
FieldMedicine
TopicCorneal Surgery and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineStromal cellKeratitisCorneaHazeSurgeryOphthalmologyDermatologyPathology

Abstract

fetched live from OpenAlex

Purpose: To review the efficacy of cryopreserved amniotic membrane (CAM) to reduce stromal scarring in a case of refractory anterior stromal haze related to herpes simplex keratitis (HSK). The initial treatment course of conventional topical steroid and oral antiviral was completed followed by the addition of CAM to further address scarring.
 Methods: Clinical presentation of a cornea with stromal haze that was refractory to previous steroid and topical and oral anti-viral therapy were documented with anterior segment smartphone capture. Best corrected visual acuity was documented to contrast clinical observations. Use of the cryopreserved amniotic membrane (CAM) Prokera® Slim was successful in reducing both anterior stromal haze and best corrected acuity. 
 Conclusions: CAM treatments may provide an additional therapeutic agent in the management of anterior stroma infiltration and scarring secondary to HSK. As demonstrated in this case, patients with visually significant stromal haze that is non-responsive to topical therapy may benefit from non-surgical placement of CAM. Due to the accessibility of CAM in private clinical settings, it should be considered as a viable new option for patients who have exhausted other traditional treatments and perhaps be considered in early infectious corneal disease states.

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 categoriesInsufficient 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 score0.011
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.270
Teacher spread0.259 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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