Parent and Child Acceptable Symptom State in Juvenile Idiopathic Arthritis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To explore the parent and child acceptable symptom state in juvenile arthritis (JA-PASS and JA-CASS, respectively) and estimate the JA-PASS and JA-CASS cutoff values for outcome measures. METHODS: Children with juvenile idiopathic arthritis (JIA) and their parents completed a multi-dimensional questionnaire that included parent-reported and child-reported outcomes and a question about whether they considered the disease state as satisfactory. Additional assessments included demographic data, physician-reported outcomes, and acute-phase reactant levels. Stepwise logistic regression was used to assess contributors to JA-PASS and JA-CASS. Cutoff values of outcome measures that defined JA-PASS and JA-CASS were determined using both 75th percentile and receiver-operating characteristic (ROC) curve methods. Testing procedures included evaluation of discriminative and construct validity of the satisfaction question and assessment of reliability of JA-PASS and JA-PASS cutoffs. RESULTS: Of 584 parents, 385 (65.9%) considered their child in JA-PASS. Of 343 children, 236 (68.8%) considered themselves in JA-CASS. Significant contributors to being in either JA-PASS or JA-CASS were absence of active joints, better rating of overall well-being, and better physical function or health. Cutoff values yielded by 75th percentile and ROC curve methods were similar. Parent, child, and physician global ratings yielded the lowest percentage of false-positive misclassification and the best tradeoff between sensitivity and specificity. The satisfaction question showed good discriminative and construct validity and the JA-PASS and JA-PASS cutoffs were found to be stable over time. CONCLUSION: The acceptable symptom state is a relevant concept for children with JIA and their parents and constitutes a valid outcome measure that is potentially applicable in routine practice and clinical trials.
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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 | 0.002 | 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 | 0.001 |
| 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 it