Bibliographic record
Abstract
Background and Objective Recall dermatitis is an uncommon entity that has been noted with patch testing, repeat exposures to a medication or allergen, and the concurrent use of ultraviolet radiation and certain medications. Recall dermatitis from primary cutaneous exposure and subsequent oral exposure are rare, and the etiology remains unknown. Conclusion We report a case of recall dermatitis with a drug eruption secondary to metronidazole. Therapy with this medication was initially topical for rosacea and subsequently oral for a gastrointestinal infection. This case draws attention to the use of metronidazole and the risk of recall dermatitis. Contexte et objectif La dermatite immunitaire secondaire est une affection rare, qui s'observe a la suite de la realisation de tests epicutanes, de reexpositions à des medicaments ou a des allergenes ou encore de l'emploi concomitant des rayons ultraviolets et de certains medicaments. La dermatite immunitaire secondaire, liee a une premiere exposition a une substance par voie cutanee et à une exposition ultérieure par voie orale a cette même substance est un phénomène rare, de cause inconnue. Conclusions Sera expose ici un cas de dermatite immunitaire secondaire, se manifestant par une eruption d'origine médicamenteuse, consecutive à l'utilisation du metronidazole. Le medicament avait été employe une premiere fois par voie topique pour traiter la rosacee et une deuxième fois par voie orale pour traiter une infection gastro-intestinale. Ce cas attire l'attention sur l'utilisation du metronidazole et sur le risque de dermatite immunitaire secondaire.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".