Patch Test Positivity to Palladium
Bibliographic record
Abstract
BACKGROUND: The use of palladium (Pd) is increasing in metal objects after the banning of nickel in items in prolonged contact with the skin. The properties of Pd make this metal useful in various industrial fields. OBJECTIVE: The aim of the study was to evaluate the prevalence of Pd sensitization in patients who underwent patch tests for suspected allergic contact dermatitis in the Triveneto region from 2013 to 2018. METHODS: A total of 4816 patients with symptoms and/or signs of suspected contact allergic dermatitis were patch tested. Individual characteristics were assessed using a standardized questionnaire. RESULTS: The overall prevalence of Pd sensitization was 7.6% and 10.8% using PdCl2 1% or 2% petrolatum, respectively, with a higher prevalence in women (odds ratio, 2.6; 95% confidence interval, 1.9-3.7) and in 26- to 55-year-old patients. Monosensitization occurred in 1%-1.5% of the patients tested. Health care workers and technicians were more sensitized to Pd than clerks, but the data did not reach statistical significance. CONCLUSIONS: Palladium sensitization was high, but it was mainly associated with nickel sensitization. A possible occupational role was found for workers with potential contact with Pd-containing objects, but more data are needed to reach statistical significance.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.009 | 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".