MétaCan
Menu
Back to cohort
Record W4402960301 · doi:10.7759/cureus.70437

Dysthyroid Optic Neuropathy Dramatically Improved by Sheath-Guided Triamcinolone Orbital Injection: A Case Report

2024· article· en· W4402960301 on OpenAlexaff
Y Yamana, Tomoyuki Kashima

Bibliographic record

VenueCureus · 2024
Typearticle
Languageen
FieldMedicine
TopicOphthalmology and Eye Disorders
Canadian institutionsOntario Council of University Libraries
Fundersnot available
KeywordsMedicineTriamcinolone acetonideOptic neuropathyOphthalmologyOptic nerve

Abstract

fetched live from OpenAlex

Thyroid eye disease is an autoimmune disorder caused by thyroid-stimulating hormone receptor autoantibodies stimulating the thyroid-stimulating hormone receptor, resulting in proptosis, extraocular muscle dysfunction, diplopia, retro-orbital pain, optic nerve compression, and visual impairment. Dysthyroid optic neuropathy (DON), believed to result from direct compression by enlarged extraocular muscles, represents a severe complication with the potential for irreversible vision loss. Currently, the treatment options for DON are limited to highly invasive procedures, such as orbital decompression surgery and systemic steroid pulse therapy. There are consequently significant challenges in the management of this condition. This report presents a case where a significant improvement in DON was achieved solely through the novel technique of sheath-guided orbital triamcinolone injection, which was utilized with the aim of reaching the deeper part of the orbit under sheath guidance. In this case, the best corrected visual acuity improved from 20/32 (decimal visual acuity: 0.7) to 20/20 (1.2) in the right eye and from 20/500 (0.04) to 20/20 (1.2) in the left eye. Critical flicker frequency values also improved, from 20.3 Hz to 35.0 Hz in the right eye and from 9.3 Hz to 31.5 Hz in the left eye. The cross-sectional areas of the extraocular muscles decreased by an average of 55.5%.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.796

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.020
GPT teacher head0.310
Teacher spread0.290 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueCureusSame topicOphthalmology and Eye DisordersFrench-language works237,207