Dental Allergic Contact Dermatitis: An Interesting Case Series and Review of the Literature
Bibliographic record
Abstract
When patients have persistent oral complaints, it is important to consider allergic contact dermatitis to dental components. We present 3 cases seen at the Ottawa Hospital Patch Test Clinic between 2007 and 2009 with persistent oral lesions. Mercury, methacrylate, and beryllium were found to be the responsible allergens after patch testing. Of note, our case is the fourth reported dental contact dermatitis case to beryllium. Subsequently, a literature review and an examination of reported cases and management strategies were done. There is debate over the necessity of changing dental work after a positive patch-test result. We conclude that it is necessary to do your best to uncover all of the materials used in dental work. Often, material safety sheets do not include all allergens present in products. We advocate that if a positive reaction is found and deemed relevant, then appropriate replacement of the offending agent should be recommended.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".