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Record W4310801616 · doi:10.1177/24741264221138166

Management and Complications of Dexamethasone Intravitreal Implant Migration Into the Anterior Chamber

2022· article· en· W4310801616 on OpenAlexaff
Devin Betsch, R. Rishi Gupta

Bibliographic record

VenueJournal of VitreoRetinal Diseases · 2022
Typearticle
Languageen
FieldMedicine
TopicRetinal Diseases and Treatments
Canadian institutionsHealth Sciences Centre
Fundersnot available
KeywordsMedicineDexamethasoneImplantOphthalmologyComplicationDemographicsTransplantationVisual acuitySurgeryInternal medicine

Abstract

fetched live from OpenAlex

Purpose: To report patient demographics, the clinical course, and visual outcomes across a case series of patients who experienced dexamethasone (DEX) intravitreal implant (Ozurdex, Allergan, Inc) migration into the anterior chamber (AC), with a focus on the corneal transplantation rate. Methods: In this retrospective cross-sectional study, a chart review of all cases was performed. For numerical responses, means and SDs were calculated. Percentages and absolute numbers were used to report the proportion of patients who experienced various outcomes of interest. Results: The study comprised 32 cases. All cases occurred in pseudophakic eyes; of those, 8 (25.0%) had posterior chamber intraocular lenses in the capsular bag with no known capsular or zonular issues. The mean duration from DEX implant injection to detection of migration was 19.4 ± 14.5 days. The DEX implant was explanted in 21 patients (65.6%) and repositioned in the vitreous cavity or subconjunctival space in 6 patients (18.8%). Twelve patients (37.5%) ultimately required corneal transplantation. Conclusions: To our knowledge, this is the largest case series of DEX intravitreal implant migration into the AC compiled to date. Cases of migration occurred in individuals with no known history of significant prior zonule disruption. This potential complication should be discussed with all patients undergoing DEX implant injection, which may aid in earlier presentation and improved visual outcomes.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.127
Threshold uncertainty score0.292

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 studies0.0000.000
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 head0.009
GPT teacher head0.277
Teacher spread0.269 · 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

Citations5
Published2022
Admission routes1
Has abstractyes

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