Meta‐analysis of Enhanced Recovery After Surgery (ERAS) Protocols in Emergency Abdominal Surgery
Bibliographic record
Abstract
OBJECTIVES: To evaluate enhanced recovery after surgery (ERAS) protocols in emergency abdominal surgery. METHODS: The electronic data sources were explored to capture all studies that evaluated the impact of ERAS protocols in patients who underwent emergency abdominal surgery. The quality of randomised and non-randomised studies was evaluated by the Cochrane tool and the Newcastle-Ottawa scale, respectively. Random or fixed effects modelling were utilised as indicated. RESULTS: Six comparative studies, enrolling 1334 patients, were eligible. ERAS protocols resulted in shorter post-operative time to first flatus (mean difference: -1.40, P < 0.00001), time to first defecation (mean difference: -1.21, P = 0.02), time to first oral liquid diet (mean difference: -2.30, P < 0.00001), time to first oral solid diet (mean difference: -2.40, P < 0.00001) and length of hospital stay (mean difference: -3.09, -2.80, P < 0.00001). ERAS protocols also resulted in lower risks of total complications (odds ratio: 0.50, P < 0.00001), major complications (odds ratio: 0.60, P = 0.0008), pulmonary complications (odds ratio: 0.38, P = 0.0003), paralytic ileus (odds ratio: 0.53, 0.88, P = 0.01) and surgical site infection (odds ratio: 0.39, P = 0.0001). Both ERAS and non-ERAS protocols resulted in similar risk of 30-day mortality (risk difference: -0.00, P = 0.94), need for re-admission (risk difference: -0.01, P = 0.50) and need for re-operation (odds ratio: 0.83, P = 0.50). CONCLUSIONS: Although ERAS protocols are commonly used in elective settings, they are associated with favourable outcomes in emergency settings as indicated by reduced post-operative complications, accelerated recovery of bowel function and shorter post-operative hospital stay without increasing need for re-admission or re-operation. There should be an effort to incorporate ERAS protocols into emergency abdominal surgery settings.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.027 | 0.052 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.014 | 0.054 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 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".