Toxicity and outcomes in combined modality treatment of head and neck squamous cell carcinoma: cisplatin versus cetuximab
Bibliographic record
Abstract
AIMS: The standard of care for locally advanced head and neck squamous cell carcinoma (HNSCC) is radiation therapy (RT) with concurrent cisplatin (CIS). Patients with renal or cardiac dysfunction, hearing loss or poor performance status (PS) may receive RT and cetuximab (CET) at our institution. This study compares treatment toxicities and outcomes. METHODS AND MATERIALS: All patients treated with curative intent RT and concurrent CIS (100 mg/m 2 Day 1, 22, 43) or CET (400 mg/m 2 Day -7, 250 mg/m 2 weekly during RT) between August 2007 and July 2010 were reviewed and toxicity and outcomes analyzed. RESULTS: Among 349 subjects (262 RT-CIS, 87 RT-CET) characteristics were similar except in age, head and neck subsite and RT fractionation. RT-CIS required more dose reductions, delays, and unplanned admissions and received less intended systemic therapy (ST). Weight loss and gastrostomy-tube use were similar. RT-CIS caused more nausea/vomiting, while RT-CET was associated with more dermatitis and acneiform rash. With mean follow-up of 20 months and 16 months, RT-CIS subjects experienced improved 1-year locoregional control (LRC) (90% vs. 72%, P < 0.01), disease-free survival (DFS) (83% vs. 67%, P < 0.01) and overall survival (OS) (90% vs. 80%, P = 0.04). On multivariate analysis type of ST was associated with LRC and DFS, but not OS. CONCLUSIONS: In patients with locally advanced HNSCC, CIS and CET were associated with different toxicity profiles. RT-CIS was associated with improved LRC and DFS, but similar OS compared to RT-CET.
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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 | 0.001 |
| 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".