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Record W4413002726 · doi:10.1177/24741264251356293

Clinical and Optical Coherence Tomography Characteristics of Severe Intraretinal Silicone Oil Migration

2025· article· en· W4413002726 on OpenAlexaff
Carl Shen, Daisy Liu, Chao Chen, S. King, Mark Greve, David Ehmann, Mark E. Seamone

Bibliographic record

VenueJournal of VitreoRetinal Diseases · 2025
Typearticle
Languageen
FieldMedicine
TopicRetinal and Macular Surgery
Canadian institutionsUniversity of CalgaryUniversity of Alberta
Fundersnot available
KeywordsSilicone oilOptical coherence tomographyRetinalSiliconeOphthalmologyMedicineMaterials scienceComposite material

Abstract

fetched live from OpenAlex

Purpose : To characterize the clinical and imaging features of patients presenting with a constellation of findings believed to represent severe intraretinal migration of silicone oil (SO). Methods : Query of our institutional electronic medical record system for patients who underwent SO removal. Results : Twenty-eight cases of severe intraretinal SO migration were identified. All patients had characteristic round hyporeflective spaces favoring the inner retinal layers on optical coherence tomography (OCT) with increased hyperreflectivity in the deeper retinal layers, and corresponding hyperreflective spherules on near-infrared enface imaging. All patients received 5000-centistoke SO and their macular internal limiting membrane had been removed by the time of final SO instillation. Oil was in situ for an average of 220 ± 198 days before removal. Average follow up from time of oil out was 353 ± 529 days. Conclusions : We characterize an underrecognized phenotype of intraretinal SO migration which presents with a constellation of OCT findings distinct from other consequences of SO use.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score0.488

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.010
GPT teacher head0.294
Teacher spread0.284 · 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 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
Published2025
Admission routes1
Has abstractyes

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