Practical Management of Patients with Atopic Dermatitis on Dupilumab
Bibliographic record
Abstract
INTRODUCTION: Dupilumab is approved to treat moderate-to-severe atopic dermatitis (AD) in several countries in patients as young as 6 years of age. Since its approval, practical issues related to the use of dupilumab for AD have arisen, with particular interest in transitioning from current therapies and managing medication overlap, considerations for special populations of patients with AD, and management of potential adverse events. METHODS: This article aims to review the literature addressing several practical management issues related to dupilumab use for AD and to provide a framework for clinical decision-making in these circumstances and sub-populations. Each statement was reviewed, revised and voted on by authors to provide their level of agreement and degree of uncertainty for each statement. RESULTS: An agreement level > 80% was achieved for all of the statements. CONCLUSION: The expert panel provides statements considering the practical management of patients with AD taking dupilumab to inform clinical decision-making in specific but frequently encountered clinical situations.
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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 | 0.026 | 0.063 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| 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".