Leflunomide is associated with a higher flare rate compared to methotrexate in the treatment of chronic uveitis in juvenile idiopathic arthritis
Bibliographic record
Abstract
OBJECTIVES: Chronic anterior uveitis is a serious complication of juvenile idiopathic arthritis (JIA); disease flares are highly associated with loss of vision. Leflunomide (LEF) is used successfully for JIA joint disease but its effectiveness in uveitis has not been determined. The aim of this study was to determine whether LEF improves flare rates of uveitis in JIA patients compared to preceding methotrexate (MTX) therapy. METHOD: A single-centre retrospective study of consecutive children with JIA and chronic anterior uveitis was performed. All children initially received MTX and were then switched to LEF. Demographic, clinical, and laboratory data, dose and duration of MTX and LEF therapy, concomitant medications and rate of anterior uveitis flares, as determined by an expert ophthalmologist, were obtained. Flare rates were compared using a generalized linear mixed model with a negative binomial distribution. RESULTS: A total of 15 children were included (80% females, all antinuclear antibody positive). The median duration of MTX therapy was 51 (range 26-167) months; LEF was given for a median of 12 (range 4-47) months. Anti-tumour necrosis factor (anti-TNF-α) co-medication was given to four children while on MTX. By contrast, LEF was combined with anti-TNF-α treatment in six children. On MTX, JIA patients showed a uveitis flare rate of 0.0247 flares/month, while LEF treatment was associated with a significantly higher flare rate of 0.0607 flares/month (p = 0.008). CONCLUSIONS: Children with JIA had significantly more uveitis flares on LEF compared to MTX despite receiving anti-TNF-α co-medication more frequently. Therefore, LEF may need to be considered less effective in controlling chronic anterior uveitis.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".