Proximal versus total gastrectomy for proximal early gastric cancer
Bibliographic record
Abstract
BACKGROUND: Recently, the incidence of proximal early gastric cancer (EGC) has been rising rapidly. Prevalent surgical methods are proximal gastrectomy (PG) and total gastrectomy (TG); however, which method is superior remains controversial. We conducted a systematic review and meta-analysis of original articles to compare the short- and long-term clinical outcomes of PG with TG for proximal EGC. METHODS: Databases, including PubMed, Embase, Web of Science, and Cochrane Library were searched up to October 2018. The Newcastle-Ottawa scale was utilized to conduct quality assessments, and publication bias was evaluated using Egger test. STATA version 14.0 was used to perform the meta-analysis. RESULTS: A total of 2036 patients with proximal EGC in 18 studies were included in the meta-analysis. The results showed that PG was potentially superior to TG regarding operation time, intraoperative blood loss volume, and long-term nutritional status. Overall survival between the PG and TG groups was not significantly different. PG was associated with a high incidence of 2 kinds of postoperative complications: anastomotic stenosis and reflux esophagitis. However, the incidence of these complications associated with esophagojejunostomy with double-tract reconstruction (DTR) was comparable with that of TG. CONCLUSIONS: PG has several advantages over TG for the treatment of proximal EGC, including surgical outcomes and long-term nutritional status. However, anastomotic stenosis and reflux esophagitis frequently occurred in patients undergoing PG. Esophagojejunostomy with DTR could offer a solution to reducing the incidence of these complications.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".