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Record W1966389777 · doi:10.2310/7750.2009.08094

Canadian Case Report of Erythema Nodosum Leprosum Successfully Treated with Prednisone and Thalidomide

2010· article· en· W1966389777 on OpenAlexaffabout
Mélissa Saber, Caroline Bourassa-Fulop, Danielle Bouffard, Nathalie Provost

Bibliographic record

VenueJournal of Cutaneous Medicine and Surgery · 2010
Typearticle
Languageen
FieldMedicine
TopicLeprosy Research and Treatment
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMedicinePrednisoneThalidomideAsymptomaticErythema nodosumDermatologySurgeryErythemaClofazimineDiseaseLeprosyInternal medicine

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.400
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.018
GPT teacher head0.274
Teacher spread0.257 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2010
Admission routes2
Has abstractyes

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