Photopatch Testing Among Members of the American Contact Dermatitis Society
Bibliographic record
Abstract
BACKGROUND: Photopatch testing is an important diagnostic tool in evaluating patients with suspected photoallergic contact dermatitis. Although protocols for photopatch testing have been described, there are no consensus recommendations by the American Contact Dermatitis Society (ACDS). OBJECTIVES: The aims of this study were to examine the common practices of photopatch testing among ACDS members and to review and compare commonly used photoallergen series. METHODS: We conducted a questionnaire-based survey among ACDS members via e-mail to inquire about their photopatch test methods. We compared the results with the European consensus methodology and reviewed photoallergen series reported by the respondents. RESULTS: Of the 791 members contacted, 112 members (14%) responded to the survey. Among these, 50 respondents (45%) perform photopatch testing, approximately half of whom (48%) determine minimal erythema dose before the test using UVA with or without UVB irradiation. Respondents use a total of 13 photoallergen series, alone or in any combination, as well as customized series. CONCLUSIONS: These results have potential to aid clinicians in identifying photoallergen series best suited for their patients and suggest a need for consensus recommendations by the ACDS.
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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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".