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Record W4414686789 · doi:10.1097/iop.0000000000003089

Inflammatory Bowel Disease-Associated With Orbital Myositis and an Internal Necrotizing Collection

2025· article· en· W4414686789 on OpenAlexaff
Terence Ang, Gabriella McCray, Clare Quigley, Dinesh Selva, James Slattery, Grainne M Murray

Bibliographic record

VenueOphthalmic Plastic and Reconstructive Surgery · 2025
Typearticle
Languageen
FieldMedicine
TopicIgG4-Related and Inflammatory Diseases
Canadian institutionsRoyal Ottawa Mental Health Centre
Fundersnot available
KeywordsMyositisInflammatory bowel diseaseDifferential diagnosisAzathioprineUlcerative colitisEtiologyHistopathologyGastrointestinal tract

Abstract

fetched live from OpenAlex

Inflammatory bowel disease (IBD) is an autoimmune inflammatory condition of the gastrointestinal tract and encompasses 2 major subtypes: Crohn's disease and ulcerative colitis. Orbital myositis is an uncommon ophthalmic extraintestinal manifestation of IBD and may be associated with an internal necrotic collection. The presence of a necrotic collection in orbital myositis narrows the diagnostic differential to several infectious and noninfectious etiologies. The distinction between an infectious and noninfectious etiology is of significant therapeutic consideration, as management differs greatly. The authors present a case of a 17-year-old female presenting with a left lateral rectus orbital myositis associated with an internal necrotizing collection of the left lateral rectus. Histopathology demonstrated severe nonspecific chronic orbital myositis with features suggestive of focal granulomatous inflammation. She had an elevated fecal calprotectin and proceed to a colonoscopy, ultimately confirming a diagnosis of Crohn's disease. She was subsequently commenced on oral azathioprine and an oral prednisolone tapering course with ongoing follow-up. Her orbital disease remains quiescent at 6 months following her diagnosis.

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 score0.003
Threshold uncertainty score0.797

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 head0.007
GPT teacher head0.224
Teacher spread0.217 · 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
Published2025
Admission routes1
Has abstractyes

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