Childhood Arthritis and Rheumatology Research Alliance Consensus Treatment Plans for New‐Onset Polyarticular Juvenile Idiopathic Arthritis
Bibliographic record
Abstract
OBJECTIVE: There is no standardized approach to the initial treatment of polyarticular juvenile idiopathic arthritis (JIA) among pediatric rheumatologists. Understanding the comparative effectiveness of the diverse therapeutic options available will result in better health outcomes for polyarticular JIA. The Childhood Arthritis and Rheumatology Research Alliance (CARRA) developed consensus treatment plans (CTPs) for use in clinical practice to facilitate such studies. METHODS: A case-based survey was administered to CARRA members to identify the common treatment approaches for new-onset polyarticular JIA. Two face-to-face consensus conferences employed modified nominal group technique to identify treatment strategies, operational case definition, end points, and data elements to be collected. A core workgroup reviewed the relevant literature, refined plans, and developed medication dosing and monitoring recommendations. RESULTS: The initial case-based survey identified significant variability among treatment approaches for new-onset polyarticular JIA. We developed 3 CTPs based on treatment strategies for the first 12 months of therapy, as well as case definitions and clinical and laboratory monitoring schedules. The CTPs include a step-up plan (nonbiologic disease-modifying antirheumatic drug [DMARD] followed by a biologic DMARD), an early combination plan (nonbiologic and biologic DMARD combined within a month of treatment initiation), and a biologic only plan. This approach was approved by 96% of the CARRA JIA Research Committee members attending the 2013 CARRA face-to-face meeting. CONCLUSION: Three standardized CTPs were developed for new-onset polyarticular JIA. Coupled with data collection at defined intervals, use of these CTPs will enable the study of their comparative effectiveness in an observational setting to optimize initial management of polyarticular JIA.
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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 | 0.036 | 0.049 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".