Bibliographic record
Abstract
Schamberg disease, also known as Schamberg purpura or progressive pigmentary purpura, is characterized by orange-brown or reddish-brown macules/patches with overlaying purpuric spots simulating "cayenne pepper".We report a 54-year-old Chinese woman with Schamberg disease presenting with purpuric macules and patches of varying sizes on the ankles, legs, and knees.The lesions were nonblanchable and nonpalpable and asymptomatic.Close inspection of the lesions revealed pinpoint petechiae resembling grains of cayenne pepper superimposed on the reddishbrown macules/patches.To our knowledge, Schamberg disease has not been reported in the scientific literature in Chinese patients.Laboratory investigations revealed a hemoglobin of 149 g/L, a white blood cell count of 6.2 x 10 9 /L with a normal differential count, and a platelet count 219 x 10 9 /L.The prothrombin time international normalized ratio (INR) was 0.9.A clinical diagnosis of Schamberg disease was made based on the typical history and physical findings.No skin biopsy was deemed necessary.The patient was treated with topical desoximetasone 0.25% cream once a day, and advised to take Vitamin C 500 mg po bid.Follow-up at two weeks revealed a significant decrease in the number and extent of the lesions.Followup at one month showed total resolution of the lesions, by which time desoximetasone 0.25% cream was discontinued. DiscussionTypically, patients with Schamberg disease present with symmetrical reddish-brown macules/patches with superimposed specked cayenne pepper-like petechiae [1,2].It is believed that the condition results from a T cell-mediated immune reaction with the interaction of intercellular cell adhesion molecule 1 [1,4].This results in capillary damage with extravasation of erythrocytes and consequent deposition of hemosiderin in the dermis, giving rise to
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".