Preliminary validation and clinical meaning of the cutaneous assessment tool in juvenile dermatomyositis
Bibliographic record
Abstract
OBJECTIVE: To provide preliminary validation of the Cutaneous Assessment Tool (CAT), a new tool to assess cutaneous manifestations of juvenile dermatomyositis (DM), and to explore the clinical meaning of CAT scores. METHODS: Children with juvenile DM (n = 113) were assessed at baseline and 7-9 months later (n = 94). Internal consistency, redundancy, construct validity, and responsiveness of the CAT were examined. CAT scores corresponding to ordinal global assessments were determined. RESULTS: Item-total correlations ranged from 0.27-0.67 for activity lesions present in > or =10% of patients; item-domain and domain-total correlations ranged from 0.25-0.99. Cronbach's alpha was 0.79 for the CAT activity score and 0.74 for the CAT damage score. As predicted, the CAT activity score correlated strongly with both global disease activity and skin disease activity and moderately with the Childhood Myositis Assessment Scale, whereas the CAT damage score correlated moderately with the physician global disease and skin disease damage scores. Median CAT activity scores of 1, 7, 13, 18, and 31 corresponded to absent, mild, moderate, severe, and extremely severe skin disease activity, respectively. Median CAT damage scores of 0, 1, 2, and 5 correlated with the same descriptions of damage (severe and extremely severe combined). CONCLUSION: Preliminary validation of the CAT demonstrated good internal consistency, nonredundancy, good construct validity, and appropriate responsiveness. The CAT is a comprehensive, semiquantitative assessment tool for skin disease in juvenile DM.
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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 | 0.015 | 0.051 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".