Low Dose Oral Alitretinoin With Narrowband Ultraviolet B Therapy for Chronic Hand Dermatitis
Bibliographic record
Abstract
Background Chronic hand dermatitis (CHD) is difficult to treat and has high individual and societal burdens. Phototherapy and oral alitretinoin are safe monotherapies for CHD, but their combination has not been assessed. Objective To assess the effectiveness and safety of low dose oral alitretinoin combined with phototherapy versus high dose oral alitretinoin for CHD refractory to topical corticosteroids. Methods This retrospective study of adult patients with CHD refractory to topical corticosteroid therapy compared low dose oral alitretinoin (10 mg three times weekly) combined with narrowband ultraviolet B therapy (three times weekly; LDA-UVB) to high dose oral alitretinoin (30 mg daily; HDA) for 16 weeks. Outcomes were improvement in disease severity measured by the Physician’s Global Assessment and quality of life measured with the Dermatology Life Quality Index. Results The mean age of the study population ( n = 64) was 41.25 years and 57.8% were male. Both cohorts experienced improvements in disease severity and quality of life after 16 weeks, however, significantly more participants who received LDA-UVB ( n = 21/33, 63.6%) achieved “clear” or “almost clear” assessments compared to those who received HDA ( n = 12/31, 38.7%; P < .05). Adverse effects were significantly more prevalent in the HDA group ( P < .0001) and included headache, elevated cholesterol, and dry lips. Conclusions The combination of low dose oral alitretinoin with narrowband-UVB therapy was more effective and had fewer adverse effects compared to high dose oral alitretinoin for participants with CHD refractory to topical corticosteroid therapy.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.001 | 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".