Is there a predisposition to uveitis in Turner syndrome?
Bibliographic record
Abstract
INTRODUCTION: Autoimmunity is prevalent in Turner syndrome (TS) though uveitis is rarely reported. A definite link between TS and uveitis is not yet established. METHODS: We report two cases of uveitis with a history of TS and review the literature regarding TS, uveitis and autoimmunity. RESULTS: TS-associated uveitis is acute (100%), non-hypertensive (100%) anterior uveitis (87.5%) that usually responds to topical therapy without unexpected long-term visual sequelae. Systemic treatment is uncommonly required as relapses are infrequent. CONCLUSION: Reported cases of uveitis in TS were acute/symptomatic, normotensive and both unilateral and bilateral cases have been described. Systemic causes including infectious (e.g. syphilis, tuberculosis), noninfectious (e.g. sarcoidosis, HLA-B27) and specific syndromes (e.g. tubulointerstitial nephritis with uveitis, juvenile idiopathic arthritis) should be sought. Systemic immunosuppression was not needed in most cases as a good response to topical therapy was typical. There are baseline risks in TS (e.g. further growth limitation in children, baseline increased risk of solid tumors, diabetes mellitus), which should be considered before commencing systemic corticosteroids or immunosuppressants.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".