Patch Test Series for Allergic Perineal Dermatitis in the Diapered Infant
Bibliographic record
Abstract
BACKGROUND: Allergic perineal dermatitis (PD) due to diaper wipes, topical medicaments, or diapers has been reported. Although patch testing is the criterion standard for detection of allergic contact dermatitis in children, this is limited by body surface area, decreased tolerance of the patch testing procedure, and increased false-positive rates due to irritant reactions. Therefore, a targeted patch testing series is necessary to better screen diapered infants for possible allergic PD. OBJECTIVE: We propose 2 patch test series (PD series 1 and 2) to screen infants with possible allergic PD. METHODS: Allergens are chosen using existing sensitization data of common allergens in children, published case reports, and the collective experience of American Contact Dermatitis Society members through an electronic survey. RESULTS: PD series 1 includes 23 potential allergens found in wet wipes and topical diaper preparations. PD series 2 contains 10 potential allergens most commonly found in diapers. CONCLUSIONS: We believe that these judiciously chosen patch test series will increase the yield of detecting the causes of allergic PD while not exposing children to an unnecessarily large screening patch test panel.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".