Excited Skin Syndrome: Study of 39 Patients
Bibliographic record
Abstract
Background: Excited skin syndrome (ESS) is an adverse reaction obtained when carrying out epicutaneous patch tests, characterized by multiple positive test results, associated with one or more strongly positive tests, which are not all reproduced when the patient is tested afterward. Objective: The aim of this study was (1) to determine the frequency of ESS in patients submitted to patch testing, (2) to confirm the influence of the evolution time of the primary dermatosis with ESS induction, (3) to determine differences among patients according the rate of positive test loss, and (4) to compare the number of positive tests for each substance between the first test, when all allergens in the test battery were applied, and the second test, when only the allergens with positive tests on the first occasion were applied at a greater distance from one another. Methods: Epicutaneous tests were carried out in 630 patients with a suspected diagnosis of allergic contact dermatitis. Patients presenting 2 or more positive test results were considered to have ESS and were submitted to a second patch test. Results and Conclusions: ESS developed in 39 of the 630 patients tested, corresponding to a frequency of 6.2%. Analysis of data found a longer duration of the primary dermatitis in patients who in whom ESS developed compared with those who did not. Parabens, fragrance mix, and thimerosal had more positive patch test reactions using standard application techniques relative to the retest procedure, which placed the substances at a greater distance from one another, suggesting that, in addition to the factors previously reported to influence the reduction of ESS, the position of the allergens in the testing procedure also should be considered.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".