Panthenol Allergic Contact Dermatitis: Sources of Exposure, Reported Cases, and a Call for More Frequent Testing
Bibliographic record
Abstract
Panthenol, a vitamin B5 derivative, is a key precursor in the synthesis of fatty acids that maintain epithelial function. Its ability to aid in moisturization, skin barrier restoration, and wound healing has led to its frequent incorporation into personal care products and pharmaceuticals-many of which are marketed to be hypoallergenic. While contact allergy to panthenol is rather uncommon, rates of positive reactions are on the rise, increasing from 0.2-0.7% to 1.2% in recent years. In this article, we discuss panthenol's chemical functionality and provide a list of commonly encountered gentle skin care products that may potentiate exposure. In addition, we include a review of the existing cases of panthenol-related allergic contact dermatitis and contact urticaria. Many of these cases involved initial positive reactions to a personal product tested "as-is," with subsequent testing of the individual constituents of these products revealing contact allergy to panthenol. These cases highlight the importance of testing for personal products and suggest potential utility in more routine patch testing to panthenol. Overall, the information presented aligns with several recent calls in the literature to test this allergen more frequently. As more consumers favor hypoallergenic skin care products, patch testing dermatologists may need to consider including panthenol in the baseline or extended allergen series. Furthermore, patients who transition to using hypoallergenic skin care products and continue to experience dermatitis symptoms may benefit from patch testing to panthenol.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".