A novel ultraviolet B home phototherapy system: Efficacy, tolerability, adherence, and satisfaction
Bibliographic record
Abstract
BACKGROUND: Phototherapy is effective in treating psoriasis and other skin conditions. However, clinic-based phototherapy can be time-consuming, expensive, and inconvenient. Conventional home phototherapy addresses many hurdles, but has other limitations. OBJECTIVE: Assess the treatment efficacy, adherence, and satisfaction of a novel ultraviolet B home phototherapy system. METHODS: Eight patients with stable plaque psoriasis completed a multicenter, prospective, open label, interventional study using a home phototherapy device designed to improve treatment control and adherence. Matched control and study lesions were assessed on each subject. A dosing protocol based on American Academy of Dermatology guidelines for narrowband UVB phototherapy was managed by the phototherapy system. Responsiveness to the treatment was measured using the Psoriasis Severity Index (PSI) at 10 weeks versus control. Patient satisfaction was graded on a five-star Likert scale. RESULTS: At 10 weeks, all patients experienced improvement in the treated lesions, with a mean improvement of 57% in PSI (P<0.0001 compared to baseline and P<0.0002 compared to the control lesions). Patient treatment adherence was 96% and treatment satisfaction was 100% five-star rated. Control lesions did not significantly change in PSI over the 10-week period (P=0.1411). CONCLUSIONS: The home phototherapy system provided a safe and effective means to manage plaque psoriasis.
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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) | 0.002 | 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".