Profile of patients with mild-to-moderate acne in Europe: a survey
Bibliographic record
Abstract
Although acne is almost universal in teenagers, few large cohort studies have investigated the profile of acne patients. To identify the profile of European patients with mild-to-moderate acne. an epidemiological study was performed using inclusion data from a prospective, international, observational phase IV study conducted in patients prescribed an anti-acne cream containing retinaldehyde, glycolic acid, modified rhamnose and Avene Thermal Spring Water. A total of 2926 patients (73.1% female) with mild to moderate acne (mean Global Evaluation of Acne score of 2.55 ± 0.7), aged 22.5 ± 8.0 years, were included in France, Switzerland, Italy and Portugal. A family history of acne was present in 62.9% of patients and mean age at acne onset was 16.0 ± 4.9 years. In total, 69.6% of patients had moderate to severe hyperseborrhoea, 35.6% acne lesions on both face and trunk, 23.6% facial pigmentation and 46% scars. The extent of acne was significantly associated with sex, age at acne onset, history of acne and presence of scars. In women, acne onset was delayed (p<0.0001) and a family history of acne and extension to the trunk were less common than in men (p = 0.0118, and p<0.0001), as were scars (p = 0.0042). In subjects with a family history of acne, the frequency in men was higher (p = 0.0118), acne onset was earlier (p<0.0001) and extension to the trunk and presence of scars were more common (both p<0.0001). Further epidemiological studies would help define specific risk factors for acne occurrence or progression, which may be modified.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".