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Record W2959498640 · doi:10.1177/2474126419857050

Aqueous Cytokines in Sympathetic Ophthalmia Following Complications of Intravitreal Aflibercept

2019· article· en· W2959498640 on OpenAlexaff
Verena R. Juncal, Ryan Cho, Nupura Bakshi, Hasan Ghaffar, Yeni Y. Yucel, Rajeev H. Muni

Bibliographic record

VenueJournal of VitreoRetinal Diseases · 2019
Typearticle
Languageen
FieldMedicine
TopicOcular Diseases and Behçet’s Syndrome
Canadian institutionsHospital for Sick ChildrenMount Sinai HospitalMcMaster UniversityKensington HealthUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsMedicinePars planaVitrectomySympathetic ophthalmiaAfliberceptEndophthalmitisOphthalmologyAqueous humourMacular edemaAqueous humorSurgeryUveitisBevacizumabVisual acuity

Abstract

fetched live from OpenAlex

Purpose: This article reports a case of sympathetic ophthalmia (SO) following complications from bilateral intravitreal aflibercept injections, including infectious endophthalmitis requiring vitreoretinal surgery in the left eye (OS) and sterile intraocular inflammation in the right eye (OD), and describes the aqueous cytokine profile of this patient. Methods: The patient was a 51-year-old man with SO. Cytokine levels in the aqueous humor of the sympathizing eye were measured at presentation. Results: A patient being treated with bilateral aflibercept injections for diabetic macular edema developed infectious endophthalmitis OS requiring a pars plana vitrectomy and sterile intraocular inflammation OD, which subsequently led to SO. Enucleation of the exciting eye (OS) was performed and histopathology confirmed the diagnosis. Cytokine levels in the sympathizing eye revealed high concentrations of intercellular adhesion molecule-1, inducible protein-10, and interleukin-8 and -10. Conclusions: SO can occur after vitreoretinal surgery for endophthalmitis in the exciting eye and sterile intraocular inflammation in the sympathizing eye following aflibercept injections.

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 score0.020
Threshold uncertainty score0.611

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.007
GPT teacher head0.269
Teacher spread0.262 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

Explore more

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