Heck’s Disease in Saudi Patients: A Case Series and Literature Review
Bibliographic record
Abstract
Heck's disease, also known as focal epithelial hyperplasia, is a rare benign oral mucosal condition primarily associated with human papillomavirus (HPV) infection. It typically presents as single or multiple, soft, well-delimited sessile papules or nodules that share the same color as the surrounding mucosa. The condition is more frequently observed in females and predominantly affects children. Although it was initially identified among Native American, Inuit, and African populations, Heck's disease is now recognized worldwide. Some studies have suggested a possible genetic predisposition linked to the human leukocyte antigen (HLA)-DR locus. This report describes three cases of Heck's disease. The first case is a 70-year-old female patient who presented with four whitish, smooth, round lesions located on the upper and lower labial mucosa and the left lateral surface of the tongue. The second case concerns a 39-year-old female patient who exhibited a single white, slightly raised, dome-shaped nodule with a smooth surface on the right side of her tongue. The third case describes a 49-year-old female patient who presented with a pinkish-white lesion measuring approximately 0.3 mm on the left lateral border of the tongue. All three cases were confirmed histopathologically as Heck's disease following excisional biopsy. Notably, two of the patients were sisters, suggesting the potential role of familial or genetic factors in the disease's pathogenesis. In conclusion, this case series contributes to the limited literature on Heck's disease and underscores the need for further research into its genetic associations, particularly among the Saudi population. Comparing the clinical and genetic characteristics of these cases with previously documented cases worldwide may provide valuable insight into the disease's etiology and distribution patterns.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".