Feelings of stigmatization in patients with rosacea
Bibliographic record
Abstract
Abstract Background Rosacea is a chronic facial disease that may lead to feelings of stigmatization, which can negatively impact psychological and social well‐being. Objective The aim of this study was to evaluate different aspects of rosacea that could contribute to feelings of stigmatization. Methods An online survey of a representative sample of the adult population in the UK, France, Germany and US was conducted to identify patients with rosacea based on presence of three or more clinical features. Results Among the patients who completed the survey ( n = 807), mean age at first sign/symptom of rosacea was 31.3 ± 14.5 years; mean duration of disease was 102 ± 119 months. One‐third of patients reported feelings of stigmatization (FS; n = 275). Male patients were more likely to experience FS (49% vs. 37.2% in non‐FS population; P = 0.0037). Those with FS were more likely to avoid social situations (54.2% vs. 2.0%, P < 1.00 E‐10 ) and had a higher rate of depression (36.7% vs. 21.1%, P < 1.00 E‐10 ). Conclusions Stigmatization is important in the daily lives of those with rosacea and should be taken into consideration in the management of these patients.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".