The N3 neck: outcomes following primary chemoradiotherapy.
Bibliographic record
Abstract
OBJECTIVE: To study the treatment outcomes of N3 neck disease following primary chemoradiotherapy. DESIGN: Retrospective cohort. SETTING: Tertiary care centre. METHODS: A review was conducted of 25 consecutive patients with N3 neck disease treated with primary platinum-based chemoradiotherapy. A neck dissection (ND) was offered in the event of clinical and/or radiologic evidence of residual disease on follow-up. MAIN OUTCOME MEASURES: Recurrence-free, disease-specific, and overall survival and patterns of failure. RESULTS: A regional complete response (CR) was noted in 48% of the patients. ND was performed in 36% of the cases. The median duration between the end of radiation and ND was 71 days. The recurrence-free survival rates at 1 and 2 years were 73% and 64%, respectively. The 2-, 3-, and 5-year overall survival rates were 66.7%, 52%, and 31.2%, respectively. Disease-specific survival rates were 69.6%, 63.3%, and 50.6%, respectively. Nine patients developed distant recurrence, with one having concurrent local and regional recurrence as well. Patients in the CR group remained free of regional recurrence. Among the initial partial responders, 54% eventually developed distant metastasis compared to 17% in the CR group. CONCLUSION: Patients with N3 disease may be managed with chemoradiotherapy, with ND reserved for salvage. Distant metastasis accounts for most recurrences and for the reduction in survival.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.002 | 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".