Genital Scabies with Granulomatous Dermatitis: A Case Report
Bibliographic record
Abstract
Introduction: Scabies is a contagious infection of the skin that is commonly found in the extremities. Scabies may be difficult to diagnose when its location is clinically unconventional. Previous reports on granulomatous scabies excluded a genital manifestation. Here we report a case with genital scabietic as granulomatous dermatitis. Case presentation: The current report focuses on a genital manifestation of scabietic lesions in a young adult. The case involved a 27-year-old man managed in our dermatology clinic with a 3-week history of itchy rash located on the groin, penile shaft, and scrotum. The rash was suspected to be scabies based on the physical examination, and the diagnosis was confirmed by microscopy. Histologic examination revealed a non-necrotizing granulomatous lesion. The patient was treated with oral ivermectin at 24 mg (400 mcg/kg) three times weekly for 6 weeks and fully recovered. Discussion: Scabies can mimic other skin conditions such as psoriasis, atopic dermatitis, diaper dermatitis, allergic contact dermatitis, and irritant contact dermatitis. Especially when the lesions are located in clinically unconventional locations, scabies may be difficult to diagnose. In our patient, the biopsy primarily showed granulomatous dermatitis; however, confirmatory diagnosis of scabies is made by recovering mites, mite fecal pellets, and eggs from a skin scraping. In addition, the prompt recovery of our patient after oral ivermectin treatment further strengthened our diagnosis. Conclusion: This case highlights the importance of considering scabies as a differential diagnosis of genital rash.
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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) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".