Neoadjuvant chemoradiotherapy or chemotherapy alone for oesophageal cancer: population-based cohort study
Bibliographic record
Abstract
BACKGROUND: Although both neoadjuvant chemoradiotherapy (nCRT) and chemotherapy (nCT) are used as neoadjuvant treatment for oesophageal cancer, it is unknown whether one provides a survival advantage over the other, particularly with respect to histological subtype. This study aimed to compare prognosis after nCRT and nCT in patients undergoing oesophagectomy for oesophageal adenocarcinoma (OAC) or squamous cell carcinoma (OSCC). METHODS: Data from the National Cancer Database (2006-2015) were used to identify patients with OAC and OSCC. Propensity score matching and Cox multivariable analyses were used to account for treatment selection biases. RESULTS: The study included 11 167 patients with OAC (nCRT 9972, 89.3 per cent; nCT 1195, 10.7 per cent) and 2367 with OSCC (nCRT 2155, 91.0 per cent; nCT 212, 9.0 per cent). In the matched OAC cohort, nCRT provided higher rates of complete pathological response (35.1 versus 21.0 per cent; P < 0.001) and margin-negative resections (90.1 versus 85.9 per cent; P < 0.001). However, patients who had nCRT had similar survival to those who received nCT (hazard ratio (HR) 1.04, 95 per cent c.i. 0.95 to 1.14). Five-year survival rates for patients who had nCRT and nCT were 36 and 37 per cent respectively (P = 0.123). For OSCC, nCRT had higher rates of complete pathological response (50.9 versus 30.4 per cent; P < 0.001) and margin-negative resections (92.8 versus 82.4 per cent; P < 0.001). A statistically significant overall survival benefit was evident for nCRT (HR 0.78, 0.62 to 0.97). Five-year survival rates for patients who had nCRT and nCT were 45.0 and 38.0 per cent respectively (P = 0.026). CONCLUSION: Despite pathological benefits, including primary tumour response to nCRT, there was no prognostic benefit of nCRT compared with nCT for OAC suggesting that these two modalities are equally acceptable. However, for OSCC, nCRT followed by surgery appears to remain the optimal treatment approach.
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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 | 0.001 | 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) | 0.001 | 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 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".