Prevalence of Surfactant in the Contact Allergen Management Program
Bibliographic record
Abstract
BACKGROUND: Surfactants are common ingredients in topical products, which can cause both irritant and allergic contact dermatitis. OBJECTIVE: The aim of this study was to determine the prevalence of 12 common groups of surfactants and 12 common individual surfactants among products in each category in the American Contact Dermatitis Society Contact Allergen Management Program (CAMP). METHODS: The American Contact Dermatitis Society CAMP was queried for the 12 surfactant groups and the 12 individual surfactants. RESULTS: The laureth/pareth sulfate group was the most prevalent surfactant group in CAMP products (17.9%). Laureth/pareth sulfates were the most common surfactant group in all product categories, except household and eye care products. The betaine/sultaine group (13.5%) and glucosides (10.0%) were also found in a significant proportion of CAMP products. Oleamidopropyl dimethylamine has the highest positive reaction rate (3.5%) but was tied for the lowest prevalence (0.20%) of the 12 individual surfactants studied. In contrast, cocamidopropyl betaine has a lower positive reaction rate (1.6%) with a higher prevalence (10.4%). CONCLUSIONS: Surfactants were commonly found across all product types in CAMP. This study provides important information on allergen and irritant exposures in care products.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.003 | 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 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".