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Record W4282927444 · doi:10.21037/gs-22-168

Effect of the enhanced recovery after surgery protocol on recovery after laparoscopic myomectomy: a systematic review and meta-analysis

2022· review· en· W4282927444 on OpenAlexaboutno aff
Yulian Chen, Mingru Fu, Guifen Huang, Jiao Chen

Bibliographic record

VenueGland Surgery · 2022
Typereview
Languageen
FieldMedicine
TopicEnhanced Recovery After Surgery
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMeta-analysisLaparoscopyProtocol (science)Laparoscopic surgerySurgeryPathologyAlternative medicine

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.722
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0300.019
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.040
GPT teacher head0.326
Teacher spread0.287 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designSystematic review
Domainnot available
GenreReview

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".

Quick stats

Citations15
Published2022
Admission routes1
Has abstractyes

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