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Record W2910353099 · doi:10.14740/jmc.v10i1.3190

Sarcoidosis Uveitis Mimicking the Presentation of Intraocular Lymphoma

2019· article· en· W2910353099 on OpenAlexvenueno aff
Jeremy G. Light, John R. Chancellor, Sami H. Uwaydat, Nikhil Meena, Chien Chen, Ahmed B. Sallam

Bibliographic record

VenueJournal of Medical Cases · 2019
Typearticle
Languageen
FieldMedicine
TopicOcular Diseases and Behçet’s Syndrome
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSarcoidosisUveitisLymphomaRetinitisIntraocular lymphomaPathologyIntermediate uveitisBiopsyDermatologyOphthalmologyImmunologyAnterior uveitis

Abstract

fetched live from OpenAlex

We aimed to report a case of sarcoidosis presenting with atypical clinical findings that mimicked intraocular lymphoma. A 73-year-old female presented with flashes and decreased vision in her left eye over a 2-week period. The patient had no previous ocular medical history. Initial fundal examination revealed vitritis (vitreous inflammation) with retinal hemorrhage and subretinal yellowish lesions in the left eye. All tests were negative for infectious causes. Serum angiotensin-converting enzyme (ACE) was normal. Flow cytometric analysis of vitreous showed a suspicious CD4 + T lymphoid population missing CD7 surface antigen and an elevated CD4/CD8 ratio. Chest CT showed hilar lymphadenopathy. Clinical findings to this point raised the suspicion of lymphoma. Hilar lymph node biopsy demonstrated granulomatous inflammation, confirming the diagnosis of sarcoidosis. Sarcoidosis presenting with uveitis in an elderly patient may pose a diagnostic challenge due to variable presentation and absence of diagnostic criteria. Retinitis and subretinal infiltrates can be a misleading clinical finding of sarcoidosis masquerading as an intraocular oncologic process such as lymphoma. J Med Cases. 2019;10(1):4-7 doi: https://doi.org/10.14740/jmc3190

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.017
GPT teacher head0.299
Teacher spread0.282 · 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 source (direct Gemma or distilled Codex), 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
Published2019
Admission routes1
Has abstractyes

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