0-7-21 hypofractionated palliative radiotherapy: an effective treatment for advanced head and neck cancers
Bibliographic record
Abstract
OBJECTIVE: We report our experience in providing palliative radiotherapy (RT) to patients with head and neck cancers (HNCs). Our hypofractionated regimen, "0-7-21", treats patients with 24 Gy in three fractions. METHODS: Patients, disease and response data were retrieved for candidates of 0-7-21 from 2005 to 2012. Primary end points included symptom and tumour size responses to RT based on response evaluation criteria in solid tumours (RECIST) guidelines. Secondary end points included progression-free survival (PFS) within the irradiated field, overall survival (OS) and symptomatic PFS (SPFS), calculated using Kaplan-Meier method and adverse events. Cox proportional hazards regression and logistic regression were used to investigate for prognostic factors. RESULTS: A total of 110 patients were included. Among the patients, 40% and 31% had complete response for symptoms and tumour size, respectively; 42% and 50% had partial response for symptoms and tumour size, respectively; and 15% had stability of symptoms and tumour size. Median 6-month OS was 51%, and PFS within the irradiated field was 39%. Planning target volume was predictive of OS (p < 0.001), PFS (p < 0.001) and SPFS (p < 0.005), while higher TNM stage was associated with poorer tumour response (p = 0.02). CONCLUSION: 0-7-21 is an effective and well-tolerated palliative RT regimen for patients with HNC. There was excellent symptom and local control with acceptable toxicity profile in these patients. ADVANCES IN KNOWLEDGE: This is the first study to describe the outcomes of 0-7-21 in treating advanced HNCs. The positive results suggest that 0-7-21 provides excellent palliation with minimal toxicity, with significantly less on-treatment time than current published palliative RT regimen.
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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) | 0.001 | 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) | 0.000 | 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".