Rosacea: New Concepts in Classification and Treatment
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Rosacea is a chronic inflammatory dermatosis mainly affecting the cheeks, nose, chin, and forehead. Rosacea is characterized by recurrent episodes of flushing or transient erythema, persistent erythema, phymatous changes, papules, pustules, and telangiectasia. The eyes may also be involved. Due to rosacea affecting the face, it has a profound negative impact on quality of life, self-esteem, and well-being. In addition to general skin care, there are several approved treatment options available for addressing these features, both topical and systemic. For some features, intense pulse light, laser, and surgery are of value. Recent advances in fundamental scientific research have underscored the roles of the innate and adaptive immune systems as well as neurovascular dysregulation underlying the spectrum of clinical features of rosacea. Endogenous and exogenous stimuli may initiate and aggravate several pathways in patients with rosacea. This review covers the new phenotype-based diagnosis and classification system reflecting pathophysiology, and new and emerging treatment options and approaches. We address new topical and systemic formulations, as well as recent evidence on treatment combinations. In addition, ongoing studies investigating novel therapeutic interventions will be summarized.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it