The Importance of Assessing Burning and Stinging when Managing Rosacea: A Review
Bibliographic record
Abstract
Rosacea, a chronic condition usually recognized by its visible presentation, can be accompanied by invisible symptoms, such as burning and stinging. The aim of this review is to gather the most recent evidence on burning and stinging, in order to further emphasize the need to address these symptoms. Inflammatory pathways can explain both the signs and symptoms of rosacea, but available treatments are still evaluated primarily on their ability to treat visible signs. Recent evidence also highlights the adverse impact of symptoms, particularly burning and stinging, on quality of life. Despite an increasing understanding of symptoms and their impact, the management of burning and stinging as part of rosacea treatment has not been widely investigated. Clinicians often underestimate the impact of these symptoms and do not routinely include them as part of management. Available therapies for rosacea have the potential to treat beyond signs, and improve burning and stinging symptoms in parallel. Further investigation is needed to better understand these benefits and to optimize the management of rosacea.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".