Low-level laser therapy as an adjuvant in the treatment of erythema multiforme of the oral mucosa: a case report
Bibliographic record
Abstract
Erythema multiforme is an autoimmune condition that can affect the skin and mucosa. Oral lesions initially present with edema and progress to superficial erosions with pseudomembrane formation. The most recommended treatment is the use of corticosteroids; however, low-level laser therapy can be effective in the treatment of erythema multiforme. We report a case of erythema multiforme in the oral mucosa treated with low-level laser therapy. A 73-year-old woman using alendronate for osteoporosis, losartan, and puran T4 with extensive ulcers on the upper and lower lips. The clinical diagnosis was erythema multiforme. The proposed treatment was 0.05% clobetasol propionate in gel, 3 times a day, and seven sessions of low-level laser therapy on alternate days. Low-level laser therapy significantly improved the erythema multiforme of the oral mucosa, offering the patient a non-invasive approach with no side effects.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.007 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".