Pityriasis amiantacea in erosive pustular dermatosis of the scalp: A report of three cases
Bibliographic record
Abstract
Erosive pustular dermatosis is an uncommon chronic inflammatory condition of the scalp characterized by crusted, erosive plaques and subsequent cicatricial alopecia. Management of erosive pustular dermatosis remains challenging, and various treatments have been described in the literature with inconsistent results. Herein, we report three cases of erosive pustular dermatosis with a pityriasis amiantacea-like presentation in the context of poor scalp hygiene. All patients presented with thick adherent crusts on the scalp that were refractory to multiple therapies. Significant clinical improvement was achieved by addressing scalp hygiene through regular cleansing and the use of dilute sodium hypochlorite compresses, in combination with topical corticosteroids as well as systemic and topical antibiotics. Our findings highlight the importance of addressing scalp hygiene to ameliorate treatment outcomes and minimize the risk of recurrence in patients with erosive pustular dermatosis, especially those with a pityriasis amiantacea-like presentation.
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 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| 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".