Treatment of stage <scp>I</scp>a and <scp>I</scp>b mycosis fungoides with psoralen <scp>UVA</scp> monotherapy: an observational study in tertiary hospitals in the <scp>C</scp>anary <scp>I</scp>slands
Bibliographic record
Abstract
BACKGROUND: Mycosis fungoides (MF) is the most common form of primary cutaneous T cell lymphoma. Psoralen combined with ultraviolet A (PUVA) is a first-line treatment for early-stage disease. OBJECTIVES: This study was conducted to assess the clinical effectiveness of and tolerance to PUVA monotherapy in MF. METHODS: We retrospectively reviewed the files of patients who received PUVA for stage I disease. The study included 31 patients, of whom 32% presented with stage Ia and 67% with stage Ib disease, and 68% presented with patch and 32% with plaque disease. All patients received treatment three times per week. RESULTS: Complete response (CR) was achieved in 71% of patients. The median cumulative dose of UVA at CR was 211.7 J/cm(2) . There was a significant difference in median cumulative dose at CR between patients with plaque and patch disease, respectively, but not between patients with stage Ia and Ib disease. Median disease-free survival (DFS) was 230 weeks. Patients with patch disease achieved longer DFS than those with plaque disease (P = 0.004), although DFS was similar in stage Ia and Ib patients. Of the patients who received maintenance therapy, 58% relapsed. Univariate analysis showed patch disease to be a predictive factor for CR, but no predictors of relapse were identified. A total of 71% of patients developed clinical adverse reactions. CONCLUSIONS: Psoralen with UVA is a safe and effective treatment for early-stage MF. Patch disease responds more favorably than plaque disease and is associated with a longer period of DFS. Maintenance treatment does not appear to reduce recurrence. Current evidence suggests that the proposed revision to the classification of MF, which takes into account the extent and type of disease, more accurately predicts response to PUVA.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 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".