Date Palm Pollen as a Preventative Intervention in Radiation- and Chemotherapy-Induced Oral Mucositis
Bibliographic record
Abstract
OBJECTIVE: The objective of this study was to explore the effectiveness of date palm pollen (DPP) in the prevention and treatment of oral mucositis induced by radiation and chemotherapy. METHODS: Twenty subjects with varying head and neck cancers were enrolled. Ten subjects were treated with DPP administered orally (2 g daily for 42 days) as a swish and swallow suspension, and 10 control subjects received the facility standard of care. Objective oral assessments using the Oral Mucositis Assessment Scale (OMAS) were conducted at baseline and while the subjects were on treatment. Study subjects also evaluated the treatment impact by visual analog scales for severity of mouth pain and ability to swallow. RESULTS: The results obtained demonstrate a statistically significant difference between the mean OMAS score in the DPP treatment group and the control group. Symptoms such as impairment of solid food intake observed with the control group were not observed in the DPP-treated group following the treatment. Reduction of mucositis severity of pain and ability to swallow were statistically significant in the DPP-treated group. CONCLUSION: DPP treatment reduced the incidence of mouth pain and oral ulcers that often require modifications to soft/liquid diet. The complex mixture of bioactive constituents contained in DPP may have protected the oral mucosa by blocking oxidative free radicals, preventing DNA damage, and neutralizing inflammatory reactions. Further randomized controlled studies are needed to validate DPP efficacy in the broader management of chemotherapy- and radiation-induced mucositis.
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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) | 0.000 | 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) | 0.001 | 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 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".