Effect of ERAS pathway nursing on postoperative rehabilitation of patients undergoing gastrointestinal surgery: a meta-analysis
Bibliographic record
Abstract
BACKGROUND: This study aimed to systematically evaluate the impact of the Enhanced Recovery After Surgery (ERAS) pathway on postoperative outcomes-including hospital length of stay, complication rates, readmission, reoperation, and mortality-in patients undergoing gastrointestinal surgery, to provide evidence-based guidance for clinical practice. METHODS: We systematically searched PubMed, Cochrane Library, Embase, Web of Science and Scopus databases for randomized controlled trials (RCTs) and cohort studies on ERAS pathway in postoperative rehabilitation. Thirteen studies comprising a total of 5,603 patients were included. Literature screening and quality assessment followed the standards of Cochrane Collaboration and Newcastle-Ottawa scales. Statistical analysis was performed using R software to calculate the relative risk (RR), mean difference (MD) with 95% confidence interval (CI), and heterogeneity through the I² statistic, with significance set at P < 0.05. This systematic review and meta-analysis has been registered in the PROSPERO database (ID: CRD42024608876). RESULTS: The ERAS pathway significantly shortened the postoperative hospital stay (MD = -3.16, 95% CI [-4.10, -2.21], P < 0.01) and reduced the incidence of postoperative complications (RR = 0.70, 95% CI [0.58, 0.84], P < 0.01). It also significantly reduced the readmission rates (RR = 0.75, 95% CI [0.58, 0.96], P = 0.02). However, there was no statistically significant difference in the impact of ERAS pathway on reoperation rate and mortality (RR = 0.59, 95% CI [0.01, 30.14], P = 0.62). CONCLUSIONS: ERAS protocols are associated with improved postoperative recovery in gastrointestinal surgery, including shorter hospital stays and reduced complication and readmission rates. Although no significant effects were found for reoperation or mortality, the overall evidence supports the broader clinical adoption of ERAS, with a need for further high-quality studies to address remaining uncertainties.
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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 | 0.018 | 0.033 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.018 | 0.066 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".