EFFECT OF HONEY ON THE BODY WEIGHT IN HEAD AND NECK CANCER PATIENTS AFTER RADIOTHERAPY
Bibliographic record
Abstract
Body weight loss is a negative consequence of radiotherapy in head and neck cancer. The aim of this study is to determine the efficacy of honey on body weight of the patients.
 Materials and Methods: This interventional study was carried out in Radiation Oncology department of Mayo hospital, Lahore. This study involved 82 patients, divided into two groups by random sampling, who received 60-70 Grays of radiation in 22-30 fractions with curative intent. 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. The weight loss during radiotherapy was calculated as the difference between the weight at the start and the end of radiotherapy. The statistical analysis was done by t-test. Results: In honey-treated group, patients showed static and positive change in body weight when compared to control group and it is statistically significant.
 Conclusion: This study showed that oral intake of honey during radiotherapy is valuable for maintaining body weight during and after radiotherapy.
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 | 0.001 |
| 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".