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Record W1862176631 · doi:10.1159/000439081

Atypical Bilateral Fuchs Uveitis: Diagnostic Challenges

2015· article· en· W1862176631 on OpenAlexaff
Cristóbal Couto, Erika Hurtado, D. Faingold, Carmen N Demetrio, Ariel Schlaen, Marcelo Zas, Jorge Zárate, Silvia Rosetti, Andrea Páes de Lima, J. Oscar Croxatto, Pablo Chiaradía, Miguel N. Burnier

Bibliographic record

VenueCase Reports in Ophthalmology · 2015
Typearticle
Languageen
FieldMedicine
TopicOcular Diseases and Behçet’s Syndrome
Canadian institutionsMcGill UniversityMcGill University Health Centre
Fundersnot available
KeywordsMedicineDermatologyOphthalmologyUveitisOptometry

Abstract

fetched live from OpenAlex

UNLABELLED: Bilateral Fuchs uveitis associated with vitreous infiltration and posterior segment involvement requires a thorough diagnostic evaluation. The lack of well-defined diagnostic criteria makes identification of this entity difficult. The aim of this case report was to present the characteristics of a patient with atypical Fuchs uveitis and the procedures needed to rule out the differential diagnosis with specific attention to the utility of in vivo confocal microscopy (IVCM). CASE REPORT: One case of chronic bilateral uveitis with severe vitreous opacities is presented. After extensive systemic workup, including vitrectomy, the case had no identifiable systemic etiology. IVCM of the cornea revealed the presence of dendritiform keratic precipitates. CONCLUSION: The diagnosis of Fuchs uveitis is based on clinical findings as no confirmatory laboratory tests are available. A high index of suspicion is key to an early diagnosis, especially in the cases with vitreous opacities and posterior segment manifestations. Auxiliary tests such as IVCM may aid the clinician in the diagnosis of Fuchs uveitis.

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)0.001
metaresearch head score (Gemma)0.006
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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.077
GPT teacher head0.337
Teacher spread0.260 · 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

Citations3
Published2015
Admission routes1
Has abstractyes

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