Prevalence of Allergic Contact Dermatitis in Thailand
Bibliographic record
Abstract
BACKGROUND: Contact dermatitis is a universal condition. Patch testing is an effective diagnostic tool for clinically suspected allergic contact dermatitis. Previous studies have shown that the prevalence of specific allergens varies by geographic area. OBJECTIVE: To determine the relative frequency of positive reactions to different sensitizers in Thai patients with clinically suspected contact dermatitis. METHODS: The results of patch tests performed from January 1, 2004, to December 31, 2006, at the Siriraj Hospital Contact Dermatitis Clinic were analyzed. A total of 323 consecutive patients (83% women and 17% men, with mean age of 39 years) were patch-tested with the total number of allergens used from both European standard patch test series and International patch test series was 26. RESULTS: The most frequent allergen was potassium dichromate (27%), followed by nickel sulfate (26.6%), fragrance mix (20.7%), and cobalt chloride (16.4%). CONCLUSIONS: We compared the results with published findings in Asian-Pacific populations to identify geographic cultural differences in the prevalence of the allergens. The findings of the present study are able to identify the set of prominent local allergens for better revision of the standard patch test to local needs.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".