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Record W2256701835 · doi:10.3899/jrheum.150630

Uveitis in Spondyloarthritis: An Overview

2015· review· en· W2256701835 on OpenAlexvenueno aff
Fabrizio Cantini, Carlotta Nannini, Emanuele Cassarà, O. Kaloudi, Laura Niccoli

Bibliographic record

VenueJournal of Rheumatology Supplement · 2015
Typereview
Languageen
FieldMedicine
TopicSpondyloarthritis Studies and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAnkylosing spondylitisUveitisPsoriatic arthritisHLA-B27DiseaseDermatologyEnthesitisInternal medicineArthritisSpondylitisAnterior uveitisGastroenterologyHuman leukocyte antigenImmunologyAntigen

Abstract

fetched live from OpenAlex

Autoimmune anterior uveitis (AU) accounts for at least half of the cases of noninfectious uveitis, and similarly to spondyloarthritis (SpA), its occurrence is related to HLA-B27 positivity. AU is significantly more frequently found in HLA-B27-positive subjects with SpA and is characterized by unilateral eye involvement, marked tendency to recur with involvement of both eyes in alternate fashion, and has good prognosis in the majority of cases. The estimated frequency of SpA in patients with AU is around 50%, whereas AU in SpA has been reported in at least 30% of cases. Across the SpA disease spectrum, AU has a frequency peak of 33.4% in patients with ankylosing spondylitis, while the estimated prevalence in psoriatic arthritis (PsA) and inflammatory bowel disease-associated SpA is 2%-25%, and 25%, respectively. In early PsA, the frequency of AU has been found in 9% of patients. The wide range of prevalence reported in PsA may be explained by the variable sets of classification criteria used for patient selection and the different length of followup. AU may precede the clinical features of SpA, may be present at diagnosis, or may complicate the SpA clinical course. However, the occurrence of AU in SpA as well as AU flares has been reduced through treatment of SpA with anti-tumor necrosis factor-α agents.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.963
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.099
GPT teacher head0.406
Teacher spread0.306 · 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.

Study designOther design
Domainnot available
GenreReview

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

Citations59
Published2015
Admission routes1
Has abstractyes

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