Establishment of a pilot pediatric registry for chronic vasculitis is both essential and feasible: a Childhood Arthritis and Rheumatology Alliance (CARRA) survey.
Bibliographic record
Abstract
OBJECTIVE: To identify the need for, and feasibility of, establishing a web-based USA/Canadian registry of children with chronic systemic vasculitis--an otherwise insufficiently studied population. METHODS: Physician members of the Childhood Arthritis and Rheumatology Research Alliance (CARRA; n = 126) were invited to complete 2 surveys exploring vasculitis-related experience, beliefs about childhood versus adult vasculitis, and commitment to contribute patients to a prospective registry. Diagnoses included Wegener's granulomatosis (WG), childhood polyarteritis nodosa, microscopic polyangiitis (MPA), Takayasu's arteritis, primary angiitis of the central nervous system (PACNS), vasculitis, and unclassified vasculitis. RESULTS: One or both surveys were completed by 102 (81%) physicians. Almost half of first-survey respondents had been in practice for > 15 years. Collective estimated lifetime experience was >1500 patients (WG and unclassified vasculitis were the most common diagnoses). Three hundred seventeen children with vasculitis were seen in the year preceding the survey, with most physicians seeing only 2-5 patients. The majority of respondents believed that childhood vasculitis differed from adult disease, particularly with respect to classification criteria and disease activity markers. Fifty-nine members committed to contribute 2 years' data (approximately 120 patients) to a pilot registry limited to time of diagnosis, focusing on WG, MPA, Churg-Strauss syndrome, PACNS, and unclassified vasculitis. CONCLUSION: We obtained overwhelming consensus from an experienced body of pediatric rheumatologists on the need to study childhood-onset vasculitis independently from adult disease, together with commitment from sufficient members to prospectively contribute 2 years' data to a limited pilot registry to answer some basic questions about presenting and diagnostic features and initial treatment practices at disease onset.
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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) | 0.000 | 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 | 0.000 |
| 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".