Real-World Clinical Experience of Dupilumab in the Treatment of Chronic Palmo-Plantar Eczema in Patients with Moderate-Severe Atopic Dermatitis: 52-Week Follow-Up
Bibliographic record
Abstract
Abstract: Background: Hand-foot eczema (HFE) are special locations of dermatitis, which are often associated with atopic dermatitis (AD) and have a significant negative impact on the quality of life, demanding a clinically relevant improvement. Objectives: To evaluate the effectiveness and safety of dupilumab in the treatment of eczema localized in hands and/or feet in patients with moderate-to-severe AD. Methods: Retrospective multicenter study of adult patients with HFE treated with dupilumab for their AD. Patients with other concomitantly systemic immunosuppressive treatments did not undergo a washout period. The severity of palmar and/or plantar involvement was assessed using the Physician Global Assessment (PGA) scale on a scale of 0 ( = clear) to 5 ( = very severe). Eczema Area and Severity Index (EASI) and NRS-pruritus scales were also evaluated. One hundred percent of patients reached week 16, while 67/84 reached week 52 of follow-up. Results: A total of 84 patients were included 86.69% of patients showed a reduction in PGA-Hand, and 80.34% in PGA-Foot at week 52, EASI improvement was reached by 83.55% of patients at week 16 and 87.35% at week 52. Reduction of pruritus (≥4 points in NRS-pruritus scale) was 73.01% at week 16 and 80.67% at week 52. No differences in response to dupilumab were observed in the different subtypes of palmo-plantar dermatitis. Conclusions: The results obtained in our study suggest that dupilumab may be an effective and safe therapeutic option for the treatment of dermatitis localized in hands and/or feet.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".