Abatacept in the Treatment of Severe, Longstanding, and Refractory Uveitis Associated with Juvenile Idiopathic Arthritis
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVE: Abatacept (ABA), a selective T cell costimulation modulator that binds to CD80 and CD86 on antigen-presenting cells, was investigated for its antiinflammatory effect in treating severe chronic uveitis associated with juvenile idiopathic arthritis (JIA). METHODS: Our retrospective study was conducted by members of the Multinational Interdisciplinary Working Group for Uveitis in Childhood (MIWGUC). Patients with JIA who are receiving ABA treatment for active uveitis were included. In all patients, uveitis had been refractory to previous topical and systemic corticosteroids, immunosuppressives, and at least 1 tumor necrosis factor-α inhibitor. A standardized protocol was used to document uveitis (MIWGUC) and arthritis. Baseline visit and visits at 3, 6, 9, and 12 months before and after ABA start were evaluated. Primary outcome measure was defined as achievement of uveitis inactivity; secondary outcome measures were tapering of corticosteroid and/or immunosuppressive treatment, and occurrence of complications. RESULTS: In all, 21 patients (16 female) with active uveitis (n = 21) and arthritis (n = 18) were included (mean age 11.8 ± 3.6 yrs). In 7 of 18 patients with active arthritis at baseline, inactivity was achieved following ABA treatment. Uveitis inactivity was achieved in 11 patients, but recurred later in 8 of them, and remained active in another 10 cases. Systemic corticosteroids or immunosuppression were tapered in 3 patients, but uveitis recurred in all of them during further followup. Ocular complications secondary to uveitis were present in 17 patients at baseline, while 3 patients developed new ocular complications during followup. CONCLUSION: A sustained response to ABA was uncommon in patients with severe and refractory uveitis.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it