Real‐life experience with dimethylfumarate in palmoplantar psoriasis: A multicentre retrospective Italian study
Bibliographic record
Abstract
Palmoplantar (PP) psoriasis is considered one of the most hard-to-treat areas with important impact on patients' quality of life, and few data are available about the efficacy of dimethylfumarate (DMF) on these areas. In our noninterventional multicentre retrospective cohort study of patients with PP psoriasis treated with DMF, effectiveness was evaluated as mean pp Psoriasis Area and Severity Index (ppPASI) reduction and as proportion of patients that reach ppPASI 75 at 4, 12, 24 and 48 weeks. The reduction in ppPASI was 23.5% at w4, 49.7% at w12, 69.1% at w24 and 81.1% at w48. pp Investigator's Global Assessment (ppIGA) 0/1 was reached by 5 patients (10.64%) at w4, 10 patients (23.8%) at w12, 11 patients (40.7%) at w24 and 12 patients (60%) at w48 confirming that DMF could represent an effective therapy in patients affected by PP psoriasis. Overall, the treatment was well tolerated although only 24 patients made it to 24 weeks of therapy and 28 patients completed the observation period at 48 weeks. None of the patients reported adverse events requiring discontinuation of the drug. However, this discontinuation rate is in line with clinical trials and real-world evidence.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".