Predictive markers of response to isotretinoin in female acne
Bibliographic record
Abstract
BACKGROUND: Acne vulgaris is a common and chronic disorder of the pilosebaceous unit. Female acne may be a subtype differing from teenager acne. Isotretinoin is the only therapy impacting on all the major acne-related aetiological factors. All clinical studies demonstrating isotretinoin efficacy in acne patients have been performed either in teenagers or in a mixed population of teenagers and adults. OBJECTIVE: To evaluate isotretinoin efficiency and tolerance in a cohort of females with acne, aged 20+ years. METHODS: Study of 32 women prescribed isotretinoin according to the European recommendations (0.5 mg/kg) in two dermatology departments (France and Greece). The ECLA scale and a global evaluation using the GEA grading were used to evaluate isotretinoin efficacy. The correlation between the clinical response and the different epidemiological factors was determined. RESULTS: Complete response reached 59% on the face, 78% on the trunk and 43% on both the face and trunk. A significant correlation was observed between the facial response and body mass index (p = 0.02), the high-glycemic-load diet (p = 0.0009), tobacco (p = 0.05) and age at acne onset (p = 0.05). CONCLUSION: Isotretinoin at 0.5mg/kg is effective and well tolerated in mild-to-moderate acne in females over 20 years old and results were similar to those of teenagers and men. We can propose positive predictive markers of response to isotretinoin in female acne, including a low body mass index, low glycemic-load diet, no tobacco, absence of early acne onset and of lesions on the neck.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.003 | 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".