Postoperative Mortality Rates following Total Gastrectomy for Gastric Cancer: Experience of a Single Surgical Team
Bibliographic record
Abstract
Objective: Total gastrectomy is a complex surgical procedure that is characterized by significant postoperative morbidity and mortality rates and the patients may continue to experience adverse events beyond the standard 30-day follow-up period after surgery. The aim of this study is to investigate postoperative complication and 30-day/90-day mortality rates following total gastrectomy in a cohort of patients and highlight the possible ways that can improve the short-term outcome of this surgical procedure. Material and Methods: 401 patients underwent total gastrectomy for gastric carcinoma by a single surgical team from January 2001 till December 2021. The patients stratified in 3 groups based on the time period when surgery was performed, hospital- and treatment-related objective factors: group I (61 patients); group II (163 patients) and group III (177 patients). Results: Esophagojejunal anastomotic leakage rate varied with periods and ranged from 1.1% to 3.3%, 1.7% in total. Differences were insignificant in complication and death rates between the patients aged ≤70 years and > 70 years (p>0.05). Postoperative death rate within 90 days was higher by 42% compared to that in standard 30-day follow-up period. Neaodjuvant chemotherapy was not found to be associated with an increased rate of 30-day postoperative mortality (p>0.05). Conclusion(s): Total gastrectomy for gastric cancer may be associated with minimal rates of esophagojejunal anastomotic leakage and mortality when performed by specialized and experienced high-volume surgeons. 90-day mortality rate after total gastrectomy is 42% higher compared to 30-day mortality that warrants more intense monitoring of the relevant patients within 3 months after surgery.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 teacher head, 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".