The Medical Necessity of Comprehensive Patch Testing
Bibliographic record
Abstract
Allergic contact dermatitis is associated with significant disease and economic burden in the United States. To properly manage allergic contact dermatitis, it is important to accurately identify the substance(s) implicated in the dermatitis to prevent disease recurrence. The commercially available T.R.U.E Test (36 allergens) screening panel has been reported to have a conservative hypothetical allergen detection rate of 66.0%, at most. Importantly, these calculations are based on the 78% of patients who had clinically relevant reactions to allergens present on the North American Contact Dermatitis Group screening series (70 allergens), without the use of supplemental allergens. Testing with supplemental allergens beyond a screening series can more fully evaluate an individual's environmental and occupational exposure, which may significantly increase diagnostic accuracy. Comprehensive patch testing with additional allergens in sunscreens, cosmetics, and fragrances, for example, may increase the diagnostic yield as well as the likelihood of achieving a cure if the dermatitis is chronic and recalcitrant.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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) | 0.000 | 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 teacher head, 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".