Patient preferences for oropharyngeal cancer treatment de‐escalation
Bibliographic record
Abstract
BACKGROUND: The excellent prognosis of human papillomavirus (HPV)-positive oropharyngeal squamous cell carcinomas (SCCs) against severe chemoradiotherapy (CRT) toxicities has opened discussion of deintensification trials. The purpose of this study was to describe the perspective of patients with HPV-positive and HPV-negative disease toward such studies. METHODS: Fifty-one patients with oropharyngeal SCC (post-CRT) underwent semistructured interviews contrasting toxicities of radiotherapy (RT) alone and CRT. Patients were asked what potential difference in cancer survival was acceptable to prefer RT over CRT. Initially, survival rate was the same for both treatments, then the RT rate was reduced until the preference switched. Treatment experience and preference for deintensified CRT were collected. RESULTS: Ninety-percent of patients initially selected RT, but 69% switched to CRT after 0% to 5% reduction in survival. Patients that rated their treatment experience as mild would accept lower survival versus severe treatment (p = .02). Eighty-one percent of patients (33 of 40) indicated they preferred reduced chemotherapy in CRT. CONCLUSION: Patients accept little difference in survival between treatments to avoid toxicity.
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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 | 0.003 | 0.012 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".