Is recovery enhancement after gastric cancer surgery really a safe approach for elderly patients?
Bibliographic record
Abstract
BACKGROUND This study aimed to evaluate the safety of enhanced recovery after surgery (ERAS) in elderly patients with gastric cancer (GC). AIM To evaluate the safety of ERAS in elderly patients with GC. METHODS The PubMed, EMBASE, and Cochrane Library databases were used to search for eligible studies from inception to April 1, 2023. The mean difference (MD), odds ratio (OR) and 95% confidence interval (95%CI) were pooled for analysis. The quality of the included studies was evaluated using the Newcastle-Ottawa Scale scores. We used Stata (V.16.0) software for data analysis. RESULTS This study consists of six studies involving 878 elderly patients. By analyzing the clinical outcomes, we found that the ERAS group had shorter postoperative hospital stays (MD = -0.51, I 2 = 0.00%, 95%CI = -0.72 to -0.30, P = 0.00); earlier times to first flatus (defecation; MD = -0.30, I² = 0.00%, 95%CI = -0.55 to -0.06, P = 0.02); less intestinal obstruction (OR = 3.24, I 2 = 0.00%, 95%CI = 1.07 to 9.78, P = 0.04); less nausea and vomiting (OR = 4.07, I 2 = 0.00%, 95%CI = 1.29 to 12.84, P = 0.02); and less gastric retention (OR = 5.69, I 2 = 2.46%, 95%CI = 2.00 to 16.20, P = 0.00). Our results showed that the conventional group had a greater mortality rate than the ERAS group (OR = 0.24, I 2 = 0.00%, 95%CI = 0.07 to 0.84, P = 0.03). However, there was no statistically significant difference in major complications between the ERAS group and the conventional group (OR = 0.67, I 2 = 0.00%, 95%CI = 0.38 to 1.18, P = 0.16). CONCLUSION Compared to those with conventional recovery, elderly GC patients who received the ERAS protocol after surgery had a lower risk of mortality.
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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 | 0.009 | 0.036 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".