An updated overview of Juvenile systemic sclerosis in a French cohort
Bibliographic record
Abstract
BACKGROUND: Systemic sclerosis encompasses a range of disorders characterized by vascular and connective tissue abnormalities. Although rare in pediatrics, juvenile systemic sclerosis (jSSc) is a severe and life-threatening condition that significantly impacts children's development. This study aimed to provide an overview of JSSc in France over the past decade. METHODS: Patients with disease onset before the age of 16 were included following a request for observations sent via email to member practitioners of the SOFREMIP (French pediatric Rheumatology society). RESULTS: Our study included 18 patients from 8 different French centers. While our cohort exhibited a balanced distribution between limited and diffuse subsets of the disease, we observed a higher prevalence of the diffuse subset in children above the age of 10. Skin induration was the most reported symptom, while Raynaud's phenomenon was present in 61% of the children at initial clinical evaluation. All children tested positive for antinuclear antibodies, with anti-Scl70 being the most common specificity, even among children with limited cutaneous subsets. Interestingly, we found a high sensitivity of the ACR / EULAR criteria for diagnosing jSSc in our cohort with 83% of patients meeting these criteria, except for 3 children who presented with overlap syndromes. Despite the frequent use of corticosteroids at the onset, no deaths or renal crises were reported. Three patients received treatment with biological agents, specifically Rituximab and Tocilizumab. CONCLUSION: JSSc is a rare but severe disease requiring rapid, specialized, and multidisciplinary care. Further studies are needed to validate proper diagnosis criteria including overlap syndromes and evaluate the use of biotherapies in children.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".