Gorlin Syndrome Presentation and the Importance of Differential Diagnosis of Skin Cancer: A Case Report
Bibliographic record
Abstract
In a busy community practice, clinical skin findings can often be misinterpreted. Skin cancers can sometimes mimic rashes like psoriasis, eczema or prurigo nodularis in both appearance and symptoms. Gorlin syndrome is one such genetic syndrome, characterized by the eruption of multiple and early onset basal cell carcinomas (BCCs), which can be mistaken for a rash. We describe a 68-year-old female who presented to the dermatology office with a previous history of over 30 BCCs that had been previously biopsied and/or surgically removed. However, the patient had been lost to follow up for several years and had not been seen by a skin specialist. In the interim, she had been misdiagnosed as having eczematous or psoriatic lesions by primary care providers. Patients with Gorlin syndrome are even harder to diagnose as their skin cancers often do not possess the classic features associated with a basal cell or squamous cell carcinoma. When in doubt, and especially if failing topical therapy, patients presenting with dermatological lesions should be properly referred to a specialist for further assessment and workup.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.004 |
| 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".