Prospective Study of Risk Factors of Relapse after Treatment of Acne with Oral Isotretinoin
Bibliographic record
Abstract
BACKGROUND: The effectiveness of oral isotretinoin against acne is undeniable. However, few data on the maintenance of effect after treatment termination have been published. OBJECTIVE: The purpose of the study was to identify the risk factors of relapse after stopping isotretinoin. METHOD: This prospective open study examined 52 patients with moderate to severe acne at the Dermatological Clinic of the Nantes University Hospital (France). Variables likely to influence relapse were studied using the Cox model. RESULTS: 27 patients (52%) relapsed after stopping treatment. In multivariate analysis, severe seborrhoea and a high score of inflammatory lesions at the end of the treatment, an early age, a family history of acne, prepubertal acne and acne extended to the trunk were the factors increasing significantly the risk of relapse. CONCLUSION: Our data allow to define more precisely the profile of acne patients for whom the risk of relapse is highest and who should therefore be followed up quite regularly after treatment termination.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".