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Record W2964954118 · doi:10.1016/j.ajoc.2019.100532

Grafting of an autologous tissue-engineered human corneal epithelium to a patient with limbal stem cell deficiency (LSCD)

2019· article· en· W2964954118 on OpenAlexafffund
Gaëtan Le‐Bel, Louis-Philippe Guérin, Patrick Carrier, F. Mouriaux, Lucie Germain, Sylvain L. Guérin, Richard Bazin

Bibliographic record

VenueAmerican Journal of Ophthalmology Case Reports · 2019
Typearticle
Languageen
FieldMedicine
TopicCorneal Surgery and Treatments
Canadian institutionsCentre hospitalier de l'Université LavalUniversité Laval
FundersFonds de Recherche du Québec - SantéCanadian Institutes of Health ResearchUniversité LavalStem Cell NetworkHealth Research
KeywordsCorneal epitheliumCorneaMedicineTransplantationEpitheliumStromaStem cellCorneal transplantationCorneal DiseasesOphthalmologyPathologySurgeryCell biologyBiologyImmunohistochemistry

Abstract

fetched live from OpenAlex

PURPOSE: In this study, we evaluated the feasibility of recovering the corneal surface integrity in a patient suffering from unilateral LSCD through the transplantation of cultured autologous corneal epithelial cells. METHODS: obtained CACE was then used to treat the affected eye of the patient. Two years later, a successful penetrating keratoplasty was performed. RESULTS: Efficient restoration of the corneal epithelium was achieved following transplantation of CACE indicating probable re-colonization of the cornea by stem cells. Corneal transparency was restored after removing the scarred stroma by performing a penetrating keratoplasty. CONCLUSION: was shown to restore a normal corneal surface capable of sustaining a viable and clear penetrating keratoplasty and reestablished a near normal vision in a unilateral LSCD patient.

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 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 score0.130
Threshold uncertainty score0.745

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)0.0000.000

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 head0.012
GPT teacher head0.273
Teacher spread0.261 · 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.

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

Citations16
Published2019
Admission routes2
Has abstractyes

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