Clinical outcomes of the robot-assisted Ivor Lewis procedure for adenocarcinoma of the esophagogastric junction with semi-instrument overlap intrathoracic anastomosis
Bibliographic record
Abstract
Background: The main difficulty of minimally invasive Ivor Lewis (IL) procedure for adenocarcinoma of the esophagogastric junction (AEGJ) is the intrathoracic esophagogastric anastomosis (IEA). We aimed to assess the safety and feasibility of the IL procedure with the da Vinci surgical system for treatment of AEGJ with semi-mechanical intrathoracic IEA. Methods: The cohort included 72 patients with AEGJ who received treatment at the Department of Minimally Invasive Esophagus Surgery of the Tianjin Medical University Cancer Institute and Hospital from August 2020 to March 2023. Of these 72 patients, 17 received neoadjuvant chemo-immunotherapy. The robot-assisted minimally invasive IL procedure was performed using a linear stapler for overlap side-to-side intrathoracic anastomosis and the stapler defect was closed with double full-layer continuous sutures by robotic hand-sewn (semi-mechanical) IEA. Results: Of the 72 AEGJ patients, 2 were converted to exploration, 7 were converted to laparotomy and thoracotomy for circular-stapled intrathoracic anastomosis, and 6 were converted to thoracotomy for circular-stapled anastomosis, which included 2 cases of extensive pleural adhesion and 4 cases of overlap anastomosis failure, whereas 57 underwent the robot-assisted minimally invasive IL procedure with semi-mechanical IEA. Among the 9 patients converted to laparotomy, the laparotomy rate was closely related to the Siewert classification (P<0.005) and preoperative use of neoadjuvant therapy (P<0.05). Among the 57 patients who underwent the robot-assisted minimally invasive IL procedure with semi-mechanical IEA, there were 2 cases of anastomotic leakages (2/57, 3.5%), no case of anastomotic stricture, 5 cases of postoperative pneumonia (5/57, 8.77%), 2 cases of intensive care unit admission (2/57, 3.5%), and 1 case of readmission within 30 days (1/57, 1.75%). None of the patients died within 30 days after surgery. Conclusions: The robot-assisted minimally invasive IL procedure with semi-mechanical IEA is both safe and feasible for AEGJ. However, caution is advised for patients with Siewert type III AEGJ and those who have already received preoperative neoadjuvant 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 | 0.000 | 0.002 |
| 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".