Adjuvant Chemotherapy in Oesophageal Cancer: A Meta-Analysis and Experience from the Shanghai Cancer Hospital
Bibliographic record
Abstract
Whether adjuvant chemotherapy increases survival of oesophageal cancer patients has been widely debated. The present study used meta-analysis software to combine data from six studies up to July 2007 that were found and selected as suitable, comprising a total of 1001 oesophageal cancer patients. The results indicated that adjuvant chemotherapy did not significantly improve outcome in oesophageal cancer patients. A trend towards improved outcome from adjuvant chemotherapy was found in lymph node-positive patients, but did not reach significance. In our own study including 270 oesophageal cancer patients, adjuvant chemotherapy did not improve overall patient survival, but did improve survival for patients with metastases in cervical and/or celiac lymph nodes (stage IVa). Although our study had the largest patient sample, more prospective clinical trials with large numbers of patients are necessary to confirm the value of adjuvant chemotherapy in stage IVa patients.
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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 | 0.009 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.012 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".