The Prognostic Impact of Minimally Invasive Esophagectomy on Survival After Esophagectomy Following a Delayed Interval After Chemoradiotherapy
Bibliographic record
Abstract
OBJECTIVE: To evaluate prognostic differences between minimally invasive esophagectomy (MIE) and open esophagectomy (OE) in patients with surgery after a prolonged interval (>12 wk) following chemoradiotherapy (CRT). BACKGROUND: Previously, we established that a prolonged interval after CRT before esophagectomy was associated with poorer long-term survival. METHODS: This was an international multicenter cohort study involving 17 tertiary centers, including patients who received CRT followed by surgery between 2010 and 2020. Patients undergoing MIE were defined as thoracoscopic and laparoscopic approaches. RESULTS: A total of 428 patients (145 MIE and 283 OE) had surgery between 12 weeks and 2 years after CRT. Significant differences were observed in American Society of Anesthesiologists grade, radiation dose, clinical T stage, and histologic subtype. There were no significant differences between the groups in age, sex, body mass index, pathologic T or N stage, resection margin status, tumor location, surgical technique, or 90-day mortality. Survival analysis showed MIE was associated with improved survival in univariate ( P =0.014), multivariate analysis after adjustment for smoking, T and N stage, and histology (HR=1.69; 95% CI: 1.14-2.5) and propensity-matched analysis ( P =0.02). Further subgroup analyses by radiation dose and interval after CRT showed survival advantage for MIE in 40 to 50 Gy dose groups (HR=1.9; 95% CI: 1.2-3.0) and in patients having surgery within 6 months of CRT (HR=1.6; 95% CI: 1.1-2.2). CONCLUSIONS: MIE was associated with improved overall survival compared with OE in patients with a prolonged interval from CRT to surgery. The mechanism for this observed improvement in survival remains unknown, with potential hypotheses including a reduction in complications and improved functional recovery after MIE.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 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".