Pain Interference in Juvenile Idiopathic Arthritis
Bibliographic record
Abstract
OBJECTIVE: Despite treatment advances, pain remains a serious problem for many children with juvenile idiopathic arthritis (JIA). To better understand pain in children with JIA and identify potentially modifiable factors, this study evaluated Patient-Reported Outcomes Measurement Information System (PROMIS) Pediatric Pain Interference (PI) and its relationships with other pain measures and demographic, clinical, psychosocial, and functional variables. METHODS: This cross-sectional, observational, multicenter study used descriptive statistics and a mix of bivariate and multivariable analyses to describe PI and characterize relationships with other measures and variables. RESULTS: Among 355 children with JIA, 27% reported moderate or severe PI and 13.3% reported daily pain. PI correlated with other pain measures. Increasing age, decreasing disease duration, and increasing number of active joints, as well as presence of active disease, steroid treatment, and biologic treatment, were associated with greater PI. All PROMIS psychosocial and functional measures were associated with PI in the expected direction except for PROMIS Pediatric Physical Activity, which showed no association. In multivariable analyses, only PROMIS Fatigue, PROMIS Mobility, and the exploratory interaction of PROMIS Anxiety and disease-modifying antirheumatic drug treatment were significant. CONCLUSION: Moderate and severe PI was prevalent in this sample of children with JIA. PI increased with age and indicators of disease activity, but was more strongly associated with increasing fatigue and decreasing mobility. Findings support the use of PI as a short, easily administered multidimensional pain measure as part of routine clinical care. Fatigue, mobility, and disease activity should be assessed further when PI is high.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| 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".