Pigmented Purpuric Dermatosis: Clinicopathologic Characterization in a Pediatric Series
Bibliographic record
Abstract
Pigmentary purpuras (PPs) are a group of chronic disorders of unknown origin seldom described in children. With this study we sought to better characterize PP eruptions, including clinical evolution and management. A retrospective chart review from 2003 to 2013 querying characteristics of children with a biopsy-proven diagnosis of PP in the Centre Hospitalier Universitaire Ste-Justine dermatology clinic (Montreal, Quebec, Canada) was performed. Follow-up was obtained through telephone interviews. Descriptive statistical analysis was used. Of the 17 subjects, 8 were male and the mean age of onset was 9 years. PP was asymptomatic in 11 patients, pruritic in 3, and of cosmetic concern in 3. Schamberg's disease was the most frequent subtype in 12 cases. Resolution of PP was found in 13 cases with a median duration of less than 1 year (range 6 months-9 years). Five patients experienced spontaneous clearing without treatment, and improvement was observed in 75% of cases treated with topical corticosteroids and 100% with narrowband ultraviolet B (nbUVB). No associated disease, significant drug exposure, or contact allergens were found. Those findings support that PPs in children are idiopathic, chronic eruptions that can benefit from watchful waiting, although topical corticosteroids or nbUVB are may be useful if the patient or family desires faster resolution. This study was limited by its small size, its retrospective nature, and selection and recall bias.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".