765. PATTERNS, TIMING, AND SURVIVAL OF RECURRENCE FOLLOWING SURGERY FOR ESOPHAGEAL ADENOCARCINOMA IN THE EUROPEAN MULTICENTRE ENSURE STUDY
Bibliographic record
Abstract
Abstract Background After surgery for esophageal cancer approximately half of patients will develop disease recurrence. A more accurate and detailed understanding of the pattern, timing, treatment and prognosis of initial recurrence sites can guide improvements in surveillance and therapy. Therefore, the aim of this study was to accurately describe the pattern and timing of esophageal cancer recurrence, and to assess the distinct survival patterns of these recurrence locations. Methods This study included all patients who underwent surgical resection for esophageal and junctional adenocarcinoma registered in the ENSURE study. ENSURE was an international multicenter study of consecutive patients undergoing surgery for esophageal and esophagogastric junction cancers between 2009 and 2015 across 20 centers in Europe and Canada (NCT03461341). The first recurrence site was recorded and recurrence-free survival (RFS) was estimated using Kaplan-Meier curves. Sites of first recurrence were stratified into different groups and survival outcomes post recurrence detection were estimated using Kaplan-Meier curves. Results Of 3397 eligible patients, 1310 patients had disease recurrence with comprehensive follow-up data available (median RFS of 12.1 months). First recurrence was detected at multiple distant sites (n=469; 37.3%) or at a single distant site (n=463; 33.7%), while isolated local recurrence occurred in 189 (14.4%) patients. Liver-only recurrence occurred significantly earlier (median 9.0 months), while lung-only (15.2 months) and local-only occurred later (17.8 months). Patients with multiple-sites and liver-only recurrence had significant worse median post recurrence survival (7.4 and 8.3 months, respectively) when compared with lung- or local-only recurrence (10.4 and 15.9 months, respectively). Conclusion This study demonstrates that specific recurrence locations of esophageal cancer possess distinct RFS curves. Furthermore, specific recurrence locations result in different post recurrence survival outcomes. This information can help guide improvements in surveillance after esophageal cancer surgery and decisions regarding treatment of esophageal cancer recurrence.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".