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Record W2977603339 · doi:10.1097/ico.0000000000001766

Congenital Corneal Opacities Associated With Trisomy 8 Mosaicism Syndrome

2018· article· en· W2977603339 on OpenAlexaff
Christopher Welsh, Sina Khalili, Lili‐Naz Hazrati, Kamiar Mireskandari

Bibliographic record

VenueCornea · 2018
Typearticle
Languageen
FieldMedicine
TopicCorneal surgery and disorders
Canadian institutionsUniversity of TorontoHospital for Sick ChildrenUniversity of Ottawa
Fundersnot available
KeywordsMedicineTrisomy 8PathologyOphthalmologyDifferential diagnosisCytogenetics

Abstract

fetched live from OpenAlex

PURPOSE: To describe the clinical, anterior segment optical coherence tomography (OCT) and histopathological features of 2 infants with congenital corneal opacities (CCOs) and undiagnosed trisomy 8 mosaicism syndrome (T8mS). METHODS: This is a retrospective case report documenting ocular and systemic findings, imaging, pathology and management of 2 patients with T8mS. RESULTS: An 11-month-old white male infant and a 4-week-old Asian female were initially seen for unilateral and bilateral CCOs, respectively. Corneal examination revealed para-axial anterior stromal opacities with blood vessels. Superficial irregular opacities were seen on OCT, and specular microscopy revealed normal endothelial cell morphology. One eye required superficial keratectomy to clear the visual axis and developed steroid-induced glaucoma in the early postoperative period, successfully treated with goniotomy. Both patients had hyperopia, anisometropia, and amblyopia, which was managed with glasses and patching. Cytogenetic testing (through microarray and fluorescence in situ hybridization) later diagnosed T8mS in both cases. CONCLUSIONS: T8mS should be considered in the differential diagnosis for superficial CCOs with blood vessels. Anterior segment OCT can guide management and cytogenetics performed to confirm diagnosis. Systemic associations and, in particular, risk of acute myeloid leukemia and myelodysplastic syndromes warrant prompt diagnosis of this condition.

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 score0.077
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.020
GPT teacher head0.238
Teacher spread0.218 · 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

Citations7
Published2018
Admission routes1
Has abstractyes

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