C.2 An in-depth analysis of pediatric inflammatory myopathies: findings from a comprehensive tertiary care hospital
Bibliographic record
Abstract
Background: Pediatric inflammatory myopathies (PIM) are a rare, heterogenous group of disorders requiring prompt diagnosis and treatment to reduce complications and improve long-term outcome. This study reviews the clinical characteristics, management, and outcomes in PIM. Methods: A retrospective analysis of pediatric patients diagnosed with PIM at CHEO from January 2009 to December 2023 was performed. Patient data, including age at symptom onset, diagnostic testing performed, treatment, and follow-up durations, were evaluated. Results: A total of 25 patients with juvenile dermatomyositis (JDM), overlap syndromes, and necrotizing myopathy (HMG-CoA reductase and anti-SRP myositis) were identified. Symptoms began at an average age of 8.37 years (1.10-14.11), with formal diagnosis occurring at 8.57 years (2.02-16.11). Initial symptoms included skin changes, muscle weakness, joint pain, and fatigue. Diagnosis involved laboratory testing (CK, myositis antibodies), muscle MRI, electromyography, and/or muscle biopsy. Treatments included corticosteroids, IVIG, and steroid-sparing agents (methotrexate, mycophenolate mofetil, rituximab, hydroxychloroquine). Follow-up averaged 4.23 years (range: 0.5 to 13). Most patients displayed only mild residual symptoms with the exception of an anti-SRP myositis patient who became wheelchair-dependent, requiring ventilatory support. Conclusions: Inflammatory myopathies require prompt treatment to prevent complications. Most patients require multiple treatment modalities, however with early diagnosis and treatment the majority of patients’ symptoms resolve.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".