Ultraviolet B Phototherapy Intervention in Patients with Multiple Sclerosis: A Prospective, Randomized Pilot Trial
Bibliographic record
Abstract
Background There is substantial evidence, from well-conducted epidemiological studies, that low vitamin D levels are correlated with increased risk for MS, and multiple case control studies have implicated the involvement of vitamin D deficiency in MS etiology. Narrow-band Ultraviolet B (NB-UVB; 300nm - 311 nm) induced vitamin D production has not previously been studied in a multiple sclerosis (MS) randomized placebo-controlled trial (RCT). Objectives To investigate NB-UVB induced vitamin D production, immunomodulation and MS symptomology following NB-UVB phototherapy in a MS cohort. Methods Using a blinded RCT study design, twelve individuals 18 years or older with MS were enrolled and assigned (1:1) into individualized NB-UVB dose (10-30kJ/m) phototherapy, or into placebo treatment, delivered 3 times per week, for 8-weeks. Serum vitamin D levels, walking performance, strength, cognitive function, mood and circulating progenitor cells (CPCs: CD34+CD45dim), monocyte populations (Intermediate CD14+CD16+, Classical CD14+CD16-), and T regulatory cell (CD4+/CD25+/FoxP3+Tregs) count were assesed. The data were analyzed by 2 x 3 mixed factor ANOVA. Results A statistically significant condition by time interaction on vitamin D levels (F=7.14, p<.005, partial η2=.42) was identified. NB-UVB phototherapy may provide immunomodulation in a select group of MS individuals. Conclusion UVB phototherapy corrects vitamin D deficiency. This study adds to the growing research investigating UVB treatment in MS.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".