Severe atopic dermatitis in early infancy: characteristics, challenges and new perspectives in clinical practice
Bibliographic record
Abstract
Atopic dermatitis (AD) is the most common skin disease in infants and children with a prevalence of 10% in the first two years of life. In this age group up to 15% are severely affected. "Children are not little adults" - this applies in particular to infants with severe atopic dermatitis. Age-specific clinical aspects (psychosocial, neurocognitive, morphological) of the disease require an adjusted disease management. Considering recent approval of systemic treatment options, early identification of infants and children with severe and early persistent disease is of particular importance also in view of possible prevention of atopic comorbidity. As several inborn errors of immunity (IEI) share features of the atopic phenotype, it is essential for clinicians to distinguish signs of immunodeficiency from severe AD. Here, we describe a practical approach on the basis of clinical history and key dermatological and laboratory findings. Furthermore, this paper is aimed at providing an update on general management of severe AD in early infancy, including recommendations for systemic treatment.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".