Effect of the enhanced recovery after surgery protocol on recovery after laparoscopic myomectomy: a systematic review and meta-analysis
Bibliographic record
Abstract
Background: Surgery is the recommended treatment for uterine leiomyoma but it still has issues like postoperative complications and slow recovery. The enhanced recovery after surgery (ERAS) protocol could probably reduce traumatic stress and promote the rapid postoperative recovery of patients, but there are controversies for the results of different studies. This meta-analysis was performed to resolve the controversies and provide evidence for the application of ERAS in gynecology. Methods: The PubMed, Embase, Ovid, CNKI (China), Wanfang Data (China), and Google Scholar databases were searched to recruit all studies on the application of ERAS in laparoscopic myomectomy up to November 2021. The inclusion criteria of studies was established according to the PICOS principles. the Cochrane RoB 2.0 and Newcastle-Ottawa Scale (NOS) scale were used to assess the bias of the studies, RevMan 5.3 software was used for meta-analysis. Results: Ten studies that met the criteria were finally included with 1,441 participants. Eight of them were randomized controlled trials (RCTs) and two were cohort studies, all of them were with low level of bias. Meta-analysis showed that ERAS protocol after laparoscopic myomectomy could significantly shorten the first time getting out of bed after surgery [mean difference (MD) =-4.85; 95% confidence interval (CI): (-7.35, -2.36); P=0.0001], the first defecation time after surgery [MD =-4.69; 95% CI: (-5.68, -3.69); P<0.00001], and the postoperative hospital stay [MD =-1.32, 95% CI: (-2.08, -0.56); P=0.0007]. It could also markedly reduce the patient readmission rate [odds ratio (OR) =0.42; 95% CI: (0.23, 0.76); P=0.004], and notably reduced the incidence of complications [OR =0.37; 95% CI: (0.22, 0.61); Z=3.82; P=0.0001]. Yet, the cost of the ERAS protocol was not significantly different from that of routine care [MD =-127.76, 95% CI: (-997.19, 741.66); P=0.77]. Discussion: The application of ERAS protocol after gynecological laparoscopic myomectomy can shorten the first defecation time, first time out of bed, hospital stay, and reduce the readmission rate as well as the incidence of postoperative complications, without additional costs. But still there was heterogeneity among the studies, the topic still deserved further exploration.
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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 | 0.017 | 0.037 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.019 | 0.050 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".