Adiposity in Juvenile Psoriatic Arthritis
Bibliographic record
Abstract
OBJECTIVE: Adult patients with psoriatic arthritis are at increased risk for obesity and metabolic syndrome, but data regarding adiposity in children with juvenile psoriatic arthritis (JPsA) are limited. Our study assessed adiposity in children with JPsA in the Childhood Arthritis and Rheumatology Research Alliance (CARRA) registry. METHODS: Patients with JPsA in the CARRA registry were divided into nonoverweight and overweight groups using recommendations from the US Centers for Disease Control, and differences in demographic and clinical characteristics between groups at baseline and after 1-year followup were assessed using chi-square test, Fisher's exact test, T test, or Mann-Whitney U test, as appropriate. The prevalence of overweight status in the JPsA registry patients was compared to rheumatoid factor-positive and -negative polyarticular juvenile idiopathic arthritis (RF+polyJIA; RF-polyJIA) registry cohorts and the US pediatric population, using a chi-square goodness-of-fit test. RESULTS: Overweight children represented 36.3% of this JPsA cohort (n = 320). Compared to nonoverweight children, they were significantly older at symptom onset and rheumatologist's first assessment, and scored significantly worse on patient/physician outcome measures. At 1-year followup, changes in body mass index were not associated with changes in clinical features or outcome measures. The prevalence of overweight and obesity in patients with JPsA was significantly higher than in RF+polyJIA patients, RF-polyJIA patients, and the US pediatric population. CONCLUSION: In this registry, almost 1 in 5 patients with JPsA were obese and more than one-third were overweight. This is significantly more than expected compared to the US pediatric population, and appropriate longterm followup of this JPsA subgroup is warranted.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".