Prognostic factors and long-term outcomes of resected pancreatic adenocarcinoma: A comparison between two decades.
Bibliographic record
Abstract
318 Background: There have been improvements in short and long-term survival rates for patients with resected pancreatic adenocarcinoma over time The main objective of this study was to evaluate differences in long-term survival in a cohort of patients with resected pancreatic adenocarcinoma. Methods: This is a retrospective cohort study of patients who underwent pancreatic resection for pancreatic adenocarcinoma over 2 decades at a high volume academic centre. Univariate and multivariate analysis using Cox proportional hazards model were performed to evaluate prognostic factors associated with long-term survival. Time trend analyses were performed to evaluate differences between decades. Results: There were 489 patients identified, 179 patients during the early (1991-2000) and 310 during the recent decade (2001-2010). Main differences between early and recent decade were: node-positive disease rate (59% vs. 69%), number of lymph nodes collected (median 7 vs. 17), perioperative mortality (6.7% vs. 1.6%) and percentage of patients receiving adjuvant therapy (33% vs. 68%), respectively. There were no differences in sex distribution, age, margin positivity rate or tumor grade. In the multivariate analysis, node, margin status, tumor grade, adjuvant therapy and decade of resection were independently associated with overall survival for the entire cohort. Patients who received adjuvant therapy had better median overall survival: 17 [95% confidence interval (CI): 14-22] vs. 26 months (95% CI: 24-31). Median overall survival for the early and recent decade were 16 months (95% CI: 14-20) and 27 months (95% CI: 24-30, p<0.001), respectively. Conclusions: Factors associated with improved long-term survival remain comparable over time: low tumor grade, node and margin negative disease. Short and long-term survival for patients with resected pancreatic adenocarcinoma has improved in the recent decade. This is due to decreased perioperative mortality and increase use of adjuvant therapy.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".