Chronic Actinic Dermatitis: An Analysis at a Single Institution over 25 Years
Bibliographic record
Abstract
BACKGROUND: Chronic actinic dermatitis (CAD) is a rare photosensitivity disorder with scant epidemiologic data. OBJECTIVE: To evaluate demographic data and results of photopatch and patch tests over a 25-year period. METHODS: Retrospective chart review of patients with CAD from 1993 to 2009. RESULTS: Forty patients had a mean age of 57.8 years, and 27 (67.5%) were men. Twelve patients (30%) were skin types I and II, and 17 (42.5%) were skin types V and VI. Nine patients (22.5%) were younger than 50 years, and 4 of these (44.4%) were men. One of the nine patients (11.1%) was skin type I, and 4 (44.4%) were skin types V and VI. Carba mix and para-phenylenediamine were the two most commonly positive agents in patch tests. Sunscreens and plants and plant derivatives were the most commonly positive agents in photopatch tests. CONCLUSIONS: Our findings suggest a trend of two new classes of North American patients at our institution being diagnosed with CAD-younger women with skin types IV to VI and older men with skin types I to III. We observed a greater-than-expected number of positive patch-test reactions to para-phenylenediamine. We suggest that patch testing and photopatch testing of individuals may be useful adjuncts in the assessment of CAD.
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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 | 0.001 | 0.002 |
| 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 | 0.000 | 0.001 |
| 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".