Current Understanding of Seborrheic Dermatitis: Epidemiology, Burden of Disease, and Pathophysiology
Bibliographic record
Abstract
Seborrheic dermatitis is a common chronic dermatosis predominantly affecting sebum-rich areas. The diagnosis of seborrheic dermatitis can be challenging due to its clinical resemblance to other dermatoses. Seborrheic dermatitis can significantly impact quality of life, particularly in those with pruritus and dyspigmentation involving the facial region. The pathogenesis of seborrheic dermatitis is complex, and while its etiology is not yet fully understood, current evidence points to a complex interplay between 3 key factors: skin microbiome dysbiosis involving Malassezia spp. overgrowth and alterations in bacterial composition, dysregulated inflammatory responses in the skin, and skin barrier dysfunction. This review provides an updated overview of seborrheic dermatitis epidemiology, burden of disease, and pathophysiology, highlighting the integral roles of microbiome, inflammation, and skin barrier dysfunction in its pathogenesis. This is the first in a series of 3 reviews, each addressing different aspects of seborrheic dermatitis, including its epidemiology, diagnosis, and treatment considerations.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| 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".