Quality of life, mucositis, and xerostomia from radiotherapy for head and neck cancers: A report from the NCIC CTG HN2 randomized trial of an antimicrobial lozenge to prevent mucositis
Bibliographic record
Abstract
BACKGROUND: The National Cancer Institute of Canada Clinical Trials Group undertook a multicenter, randomized, double-blind controlled trial of an oral antimicrobial versus placebo to prevent and treat mucositis. We present the quality of life (QOL) analysis for this trial. METHODS: One hundred thirty-eight patients were randomly assigned. QOL data were collected every 2 weeks before, during, and after radiotherapy. The European Organization for Research and Treatment of Cancer Quality of Life questionnaire (EORTC QLQ-C30) and a Trial Specific Checklist (TSC) were used. RESULTS: The antimicrobial lozenge did not impact QOL. The principal acute side effect of radiotherapy is oral pain, affecting more than 90% of patients. Role function is impacted during treatment, and patients experience fatigue. Appetite was reported to markedly increase during radiotherapy. There was a dramatic and persistent increase in dry mouth. CONCLUSIONS: This study highlights the benefits of combining the EORTC QLQ-30 with an "oral" TSC in a randomized controlled trial and provides valuable baseline data for their use with an objective mucositis scoring system.
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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 | 0.008 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".