002 Multiple exposures to blue light does not improve psoriasis in patients with elevated endogenous levels of protoporphyrin IX
Bibliographic record
Abstract
Endogenous levels of protoporphyrin IX (PpIX) are known to be elevated in psoriatic plaques. Activation of PpIX by visible light after topical application of aminolevulinic acid has been shown to improve psoriasis. This study was designed to determine whether multiple exposures to blue light alone could improve psoriasis in patients exhibiting elevated endogenous PpIX levels. Patients and methods: Seventeen patients with at least two psoriatic plaques of 4 × 4 cm exhibiting elevated endogenous PpIX levels (as detected by in vivo fluorescence spectroscopy) were included in the study. Patients were required to discontinue all topical therapies for at least 2 weeks and systemic therapy for at least 8 weeks before treatment. One of the two plaques on each patient was exposed to 10 J/cm 2 Of blue light from a fluorescence panel three times per week for 4 consecutive weeks. The other plaque was used as a non‐exposed control. Blinded clinical evaluations were performed at baseline and every week during the 4‐week treatment period as well as at 1 and 3 weeks after the last exposure. Psoriasis severity was assessed by evaluating on a scale of 0–4 the presence of erythema, induration, and desquamation. PpIX levels were measured before and after light exposure by in vivo fluorescence spectroscopy at week 1 and 4. Results: All patients completed the study without presenting treatment related side‐effects. In vivo fluorescence spectroscopy demonstrated an almost complete photobleaching of PpIX in exposed plaques immediately after light exposure ( P = 0.005). There was no significant difference between the mean psoriasis severity score of the exposed or control plaques before and after 12 exposures to blue light. Conclusion: Under the current conditions multiple exposures to blue light did not improve psoriasis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 teacher head, 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".