Treatment of Moderate to Severe Pediatric Psoriasis: A Retrospective Case Series
Bibliographic record
Abstract
BACKGROUND: Psoriasis has an estimated prevalence of 0.5% to 2.0% in children. There is a paucity of data regarding the management and safety of treatments currently available for children with moderate to severe psoriasis. The aim of this study was to evaluate the treatment response and safety of systemic therapies used to manage moderate to severe pediatric psoriasis in a single referral center. Despite a small sample size, it was hypothesized that multiple therapeutics used for adult psoriasis would have a similar side-effect profile and positive disease response when used in a pediatric population. METHODS: A retrospective case series evaluated 51 children with moderate to severe psoriasis treated with systemic therapies for adverse event occurrence and for disease response using a 5-point Physician Global Assessment scale. RESULTS: Fifty-one patients, some of whom used multiple treatment options, produced 80 treatment data points. Adverse events were reported in 29 of these 80 treatments, with most being minor, subjective side effects. Overall, the most commonly reported side effect was fatigue, which was reported in 7.5% of treatments. Because of the small sample size, the data collected are limited and may not represent a comprehensive safety profile, nor do they allow comparison of efficacy between therapies. This case series found that biologic and immunomodulating therapies provide well-tolerated treatments with positive disease response for moderate to severe pediatric psoriasis. CONCLUSION: Although sample size and study design limit the data from this study, the study provides some guidance where little exists and helps to support the use of these treatments in this setting.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".