Outcomes From an Enhanced Recovery Program for Laparoscopic Gastric Surgery
Bibliographic record
Abstract
PURPOSE: To examine the outcomes from an enhanced recovery after surgery (ERAS) program for laparoscopic gastric surgery. MATERIALS AND METHODS: This was a prospective study of patients undergoing elective laparoscopic gastric resection in an ERAS protocol at a single institution between 2008 and 2012. Outcomes included the length of hospital stay, intraoperative and postoperative complications, the readmission rate, the reoperation rate, and the 30-day mortality. RESULTS: Of the 86 patients, 60 underwent partial gastrectomy and 26 underwent total gastrectomy. Median lymph nodes sampled was 15 (range, 9 to 47). The median length of hospital stay was 4 (range, 1 to 44) days. The conversion rate to open surgery was 11.6%. Four patients (4.7%) had an anastomotic leak. Three patients had postoperative bleeding (4.7%). About 4.7% (n=4) of the patients required readmission and 8.1% required reoperation (n=7). The 30-day mortality rate was 2.3% (n=2) due to complications from anastomotic leak. CONCLUSIONS: Laparoscopic gastrectomy within an ERAS protocol results in a short hospital stay with an acceptable morbidity and mortality rate.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".