Young Individuals With Atopic Disease and Asthma or Rhinoconjunctivitis May Have Clinically Relevant Contact Allergies
Bibliographic record
Abstract
BACKGROUND: Children and adolescents with atopic disease who have allergic asthma and/or rhinitis with and without atopic dermatitis may have hidden, clinically relevant contact allergies. OBJECTIVE: The objective of this study was to survey contact allergies in children and adolescents who had been offered allergen-specific immunotherapy and accepted (exposed)/not accepted (unexposed) such treatment. METHODS: Thirty-seven exposed and 24 unexposed individuals with atopic disease were patch tested with a standard series supplemented with aluminum chloride hexahydrate, an empty Finn Chamber, and 8 antigen preparations. RESULTS: In the exposed group, 18 allergies were detected in 13 individuals with atopic disease when excluding reactions to aluminum and antigen preparations, whereas the corresponding figures for the unexposed group were 9 and 6, respectively (non-significant difference). Independent of the allergen-specific immunotherapy, significantly more (P = 0.013) individuals with atopic dermatitis had at least 1 contact allergy. Clinically relevant allergies were represented by sesquiterpene lactone mix, para-tertiary butylphenol-formaldehyde resin, tixocortol pivalate, and colophony. CONCLUSIONS: Clinically relevant contact allergies are not uncommon in children and adolescents with atopic disease, which is why patch testing always should be considered in the management of dermatitis in individuals with atopic disease.
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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 | 0.000 | 0.001 |
| 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) | 0.004 | 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".