Topical Ectoin versus Topical Dexpanthenol for Managing Acute Radiodermatitis Associated with Breast Cancer Radiotherapy: A Randomized Double-Blind Study
Bibliographic record
Abstract
Abstract: Background: Radiodermatitis is a common side effect of breast cancer radiotherapy; however, there is no current consensus regarding an effective standard therapy. Objective: To evaluate the efficacy of topical ectoin versus dexpanthenol in the management of acute radiodermatitis after breast cancer radiotherapy. Methods: Fifty patients randomly used dexpanthenol 5% cream (25 patients), or ectoin 7% cream (25 patients), applied twice daily to the irradiated area during and for 2 weeks after radiotherapy. The study was stratified by the radiotherapy schedule and was double-blind. Radiodermatitis grade, radiation-associated symptoms, and adverse events were assessed weekly during radiotherapy and 2 weeks thereafter. Skin-related quality of life (QOL) scores were measured using the Skindex-16 questionnaire. Results: Both agents were effective in preventing severe radiodermatitis (≥G3). Ectoin had a lower radiodermatitis grade level than dexpanthenol, with a significant difference at week 2 ( P = 0.008). Radiation-associated pain ( P = 0.003) and itching ( P = 0.001) were lower with ectoin than dexpanthenol. Side effects were not significantly different between the 2 treatments ( P = 0.107). Ectoin showed less QOL impairment than dexpanthenol. The radiation schedule was an independent predictor for radiodermatitis persistence. Conclusion: Ectoin showed some clinical benefit over dexpanthenol in improving radiation dermatitis and the radiation schedule is a predictor of radiodermatitis persistence.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".