Canadian Case Report of Erythema Nodosum Leprosum Successfully Treated with Prednisone and Thalidomide
Bibliographic record
Abstract
BACKGROUND: Erythema nodosum leprosum (ENL) is a disease rarely encountered in Canada. It is characterized by multiple remissions and recurrences, often requires long-term treatment, and can result in debilitating sequelae. OBJECTIVE: To promote rapid recognition and adequate therapy for ENL. METHODS: Case report of a 39-year-old man diagnosed with an ENL. The clinical and histopathologic features, treatment provided, and response to treatment are detailed in this article. RESULTS: ENL presented itself as painful cutaneous lesions on the face and limbs, bilateral paresthesia of the fourth and fifth fingers, and systemic symptoms. Prednisone 40 mg daily for a week and then 60 mg daily for another week reduced the lesions by 80% and the pain by 50%. Although prednisone 60 mg daily was continued for one more week and then stopped, thalidomide was started at a dose of 300 mg daily for 4 weeks and then reduced gradually, which led to complete resolution. CONCLUSION: At the 7(1/2)-month follow-up, the patient remained completely asymptomatic.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".