A Review of Current and Emerging Treatments for Managing Pediatric Hand Eczema
Bibliographic record
Abstract
Abstract Purpose of Review Pediatric chronic hand eczema (P-CHE) is a debilitating condition that significantly impacts quality of life. Despite its rising prevalence, no P-CHE specific guidelines exist. Current management relies heavily on clinical experience, anecdotal evidence, and extrapolation from adult data. This review aims to identify gaps in P-CHE management and summarize current and emerging therapeutic options. Recent Findings Topical corticosteroids and non-pharmacological measures remain the cornerstone of P-CHE management. Topical calcineurin, topical Janus kinase (JAK) inhibitors, and phototherapy offer steroid-sparring alternatives. Although systemic treatments are often avoided due to safety concerns in children, they are essential for achieving adequate control and symptom management in severe or refractory cases. Alitretinoin, methotrexate, and cyclosporine are used cautiously off-label. Dupilumab, approved for pediatric atopic dermatitis, has shown promising efficacy and safety in P-CHE trials. Similarly, the use of oral JAK-inhibitors is at the forefront of emerging treatment options. Summary Effective P-CHE management requires a multifaceted, patient- and family-centered approach that balances efficacy, safety, and adherence. The literature reflects a critical gap in P-CHE specific data– especially in systemic therapies and non-atopic subtypes. Existing data is primarily derived from limited subgroup analyses within adult predominant trials, or from patients with atopic hand dermatitis enrolled within larger atopic dermatitis studies. Future research must address these gaps to inform guideline development and improve outcomes for affected children.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".