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Record W2900704649 · doi:10.1016/j.ajoc.2018.11.013

An unusual orbital tumor in an adult: Granuloma annulare

2018· article· en· W2900704649 on OpenAlexaff
Sabrina Bergeron, Debra-Meghan Sanft, Pablo Zoroquiaín, Evangelina Espósito, Bryan Arthurs, Miguel N. Burnier

Bibliographic record

VenueAmerican Journal of Ophthalmology Case Reports · 2018
Typearticle
Languageen
FieldMedicine
TopicHistiocytic Disorders and Treatments
Canadian institutionsCollège de MaisonneuveMcGill University
Fundersnot available
KeywordsGranuloma annulareMedicineOrbit (dynamics)PathognomonicDermatologyPathologicalPathologyLesionGranulomaDisease

Abstract

fetched live from OpenAlex

PURPOSE: Granuloma annulare (GA) is a rare clinical entity that does not classically arise from the peri-orbital area in adults. The purpose of this case report is to present a 69-year-old female with GA of the orbit. As well, the pathological and immunohistochemical features of these tumors will be discussed. OBSERVATIONS: One case of GA of the orbit was identified from a tertiary ophthalmology referral centre. Clinical and histopathological features of the case were reviewed. Other cases of GA were also retrieved from the literature and addressed in this report. CONCLUSION AND IMPORTANCE: Granuloma annulare is a rare orbital lesion in adults. It is known to typically arise on the hands and feet of children. This lesion must be distinguished from necrobiotic xanthogranuloma (NXG), which is a progressive peri-orbital dermatosis seen in middle age men and women. GA is thought to be a benign, often self-resolving condition, whereas NXG tends to be linked to other systemic conditions and may have a poorer prognosis.Differentiating this rare orbital tumor from necrobitotic xanthogranuloma (NXG) is essential, as both a systemic work-up and follow-up must be appropriately arranged. A comprehensive description of pathognomonic microscopic features of GA and NXG is reviewed to achieve the correct 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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.225
Threshold uncertainty score0.668

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.013
GPT teacher head0.331
Teacher spread0.318 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

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