Reactivation of Alopecia Areata After Dupilumab Therapy for Atopic Dermatitis
Bibliographic record
Abstract
We present a case report of a 42-year-old woman with severe atopic dermatitis (AD) and history of alopecia areata (AA), which had been in remission for more than 5 years. She was treated with dupilumab for AD, and 4 months after initiating treatment, she developed a rapidly progressive reactivation of AA in an androgenic alopecia pattern. Alopecia resolved after a single intramuscular triamcinolone injection while the patient remained on dupilumab. This is the seventh report to date of dupilumab-associated alopecia but is the first case documenting reactivation of previous AA. Alopecia occurring after dupilumab initiation raises suspicion for a possible unrecognized adverse effect of dupilumab in AD patients.
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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) | 0.000 | 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) | 0.001 | 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".