The effect of honey on radiation-induced oral mucositis in head and neck cancer patients
Bibliographic record
Abstract
AIM: The aim of this study is to evaluate the effect of honey on clinically scoring grades of oral mucositis. MATERIALS AND METHODS: This interventional study was carried out in Radiation Oncology Department of Mayo Hospital, Lahore. In this study, 82 patients of both genders, of head and neck cancer, planned for radiotherapy, were divided into two groups by random sampling numbers. Patients in both groups were treated with a total dose of 60-78 Grays in 4-6 weeks. In treatment group, patients were instructed to take 20 mL of honey. In control group, they were advised to rinse with 0.9% of saline. Patients were evaluated every week to assess the grades of oral mucositis up to 6 weeks. The assessment tool was Radiation Therapy Oncology Group Grading System. The statistical analysis was done by Chi-square test. RESULTS: In honey-treated group, the proportion of mucositis (Grades 3 and 4) was lower and statistically significant as compared to control group at the end of 6 weeks of radiation. CONCLUSION: This study showed that oral intake of honey during radiotherapy is valuable in the reduction of severity of oral mucositis.
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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 | 0.000 | 0.001 |
| 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 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".