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Record W4416194816 · doi:10.1097/icl.0000000000001246

Double Layered 9-mm Dehydrated Amniotic Membrane Disc in Ocular Surface Disorders: A Case Series

2025· article· en· W4416194816 on OpenAlexaff
Manokamna Agarwal, Ryan S. Huang, Mor Bareket, Alonso Gutierrez Guerinoni, Erica Darian‐Smith, Mariana C. Collazos, Clara C. Chan

Bibliographic record

VenueEye & Contact Lens Science & Clinical Practice · 2025
Typearticle
Languageen
FieldMedicine
TopicCorneal Surgery and Treatments
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDouble layeredMembraneSeries (stratigraphy)Surface (topology)Double layer (biology)

Abstract

fetched live from OpenAlex

OBJECTIVE: To report the indications and outcomes associated with a double layered dehydrated amniotic membrane (AM) disc in managing ocular surface disorders. METHODS: A retrospective chart review was conducted of all patients treated with a double layered 9-mm dehydrated AM at a tertiary care clinic from July 2022 to November 2023. Primary outcomes included changes in uncorrected visual acuity (UCVA) from baseline to first and last follow-up. Secondary outcomes included changes in clinical signs and presence of complications. RESULTS: Ten cases were included (7 male, 70.0%), median age 50 years (interquartile ranges [IQR] 40-69), with median follow-up of 12.9 months (IQR 8.1-20.4). Indications included limbal stem cell deficiency (n=5), persistent epithelial defect (n=4), and aphakic bullous keratopathy (n=1). All patients showed clinical improvement, and the membrane was successfully integrated in nine eyes (90.0%) at first follow-up. Mean UCVA improved from 1.69 ± 0.62 logMAR at baseline to 1.22 ± 0.69 logMAR at first follow-up ( P =0.002) and to 0.98 ± 0.70 logMAR at last follow-up ( P =0.001). No complications occurred over the duration of follow-up. CONCLUSIONS: The double layered dehydrated AM disc was associated with significant improvements in clinical signs and visual acuity, supporting its use as an effective in-office treatment for selected cases.

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)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-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 score0.177
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.001
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 head0.049
GPT teacher head0.415
Teacher spread0.366 · 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
Published2025
Admission routes1
Has abstractyes

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