The Value of Palliative Gastrectomy for Gastric Cancer Patients With Intraoperatively Proven Peritoneal Seeding
Bibliographic record
Abstract
The aim of this study was to evaluate the survival benefit of palliative gastrectomy for gastric cancer patients with peritoneal seeding proven intraoperatively and to identify positive predictive factors for improving survival.The value of palliative resection for gastric cancer patients with peritoneal metastasis is controversial.From 2006 to 2013, 267 gastric cancer patients with intraoperatively identified peritoneal dissemination were retrospectively analyzed. Patients were divided into resection group and nonresection group according to whether a palliative gastrectomy was performed. Clinicopathologic variables and survival were compared. Subgroup analyses stratified by clinicopathologic factors and multivariable analysis for overall survival were also performed.There were 114 patients in the resection group and 153 in nonresection group. The morbidities in the resection and nonresection groups were 14.91% and 5.88%, respectively (P = 0.014). There, however, was no difference in mortality between the 2 groups. The median survival time of patients in the resection group was longer than in nonresection group (14.00 versus 8.57 months, P = 0.000). The median survivals among the patients with different classifications of peritoneal metastasis were statistically significant (P = 0.000). Patients undergoing resection followed by chemotherapy had a significantly longer median survival, compared with that of patients who had chemotherapy alone, those who had resection alone, or those who had not received chemotherapy or resection (P = 0.000). Results of subgroup analyses showed that except for P3 patients and patients with multisite distant metastases, overall survival was significantly better in patients with palliative gastrectomy, compared with the nonresection group. In multivariate analysis, P3 disease (P = 0.000), absence of resection (P = 0.000), and lack of chemotherapy (P = 0.000) were identified as independently associated with poor survival.Palliative gastrectomy might be beneficial to the survival of gastric cancer patients with intraoperatively proven P1/P2 alone, rather than P3. Postoperative palliative chemotherapy could improve survival regardless of operation and should be recommended.
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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".