COVID‐19 related masks increase severity of both acne (maskne) and rosacea (mask rosacea): Multi‐center, real‐life, telemedical, and observational prospective study
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
Masks are essential for COVID-19 prevention, but recently they were suggested to modify cutaneous facial microenvironment and trigger facial dermatoses. To evaluate mask-related rosacea and acne (maskne) in untreated patients during lockdown. In this multi-center, real-life, observational prospective study, we enrolled stable, untreated acne and rosacea patients that wore masks during lockdown at least 6 h/day. They underwent two teledermatological consultations, at the baseline and after 6 weeks. Clinical, pharmacological, and psychological data were recorded. A total 66 patients, 30 (median age: 34.0 [30.25-29.75] yoa) with acne and 36 patients (median age: 48 [43-54] years) with rosacea, were enrolled in this study. After 6 weeks of mask and quarantine, patients with acne displayed an increased Global Acne Grading Scale (GAGS) score in mask-related areas (P < .0001). Likewise, after 6 weeks of mask and quarantine, patients with rosacea displayed a worsen in both physican (P < .0001) and patient (P < .0001) reported outcomes. Remarkably, patients reported also a statistically significant decrease in their quality of life (P < .0001). Masks appear to trigger both acne and rosacea flares. Additional studies are needed to generate evidence and inform clinical decision-making.
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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) | 0.001 | 0.000 |
| 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 | 0.000 |
| 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