Clinical characteristics of children with juvenile dermatomyositis recruited within the first 7 months of the CARRAnet registry
Bibliographic record
Abstract
Children under the age of 21 with onset of JDM prior to 16 yrs old were included. JDM was established using modified Bohan and Peter criteria. Subjects or their guardians were consented, and clinical data were collected from the patients/guardians and medical providers using both general and JDM-specific case report forms at the time of enrollment. Data regarding demographics, disease characteristics, diagnostic assessment, and medication exposure were collected. Baseline measures of muscle strength, physical functioning, and quality of life were performed, including the Childhood Myositis Assessment Scale (CMAS), Childhood Health Assessment Questionnaire (CHAQ), Health Related Quality of Life measure (HRQOL), ACR Functional Class rating, global disease assessments, and pain scores. Data were pooled and stored in a secure centralized database and de-identified prior to analysis. IRB approval was obtained at each enrolling site. Between May 28, 2010 and December 28, 2010, 102 subjects meeting modified Bohan and Peter criteria for JDM were enrolled from 23 sites in the U.S. The average number of patients enrolled per site was 5.3 (range 1-18). A summary of subject demographics and disease characteristics is provided in Table 1 . Median (quartiles) CMAS score at enrollment was 50 (45, 52) with a range from 0-52. Median CHAQ score at enrollment was 0 (0, 0.5) with a range from 0-3. Median physician and subject global assessment scores at enrollment were 1 (0, 2) with a range from 0-8, and 1 (0, 4) with a range from 0-9 respectively. Subject-reported median pain score at enrollment was 1 (0, 2) with a range from 0-8. HRQOL and ACR functional class results are represented in Figure 1 . Figure 1 In 7 months, the ongoing CARRA registry of children with rheumatic diseases has collected clinical data on 102 children with JDM and has the potential to become one of the largest JDM cohorts in the world. This registry provides the infrastructure needed to advance clinical and translational research and represents a major step towards improving outcomes of children with JDM.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".