Evidence map›Paper›PMID 38519945›Full record

ArticleBMC anesthesiology2024

Association of adherence to the enhanced recovery after surgery pathway and outcomes after laparoscopic total gastrectomy.

Yiming Hao, Qingchuan Zhao, Kun Jiang, Xiangying Feng, Yumei Ma, Jianzhong Zhang, Xi'an Han, Gang Ji, Hailong Dong, Huang Nie

Open access · goldAbstract read
In one paragraph

Article in BMC anesthesiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Yiming Hao *Department of Gastrointestinal Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Qingchuan Zhao *Department of Gastrointestinal Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Kun JiangDepartment of Digital Center, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Xiangying FengDepartment of Gastrointestinal Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Yumei MaDepartment of Anesthesiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Jianzhong ZhangThe Unimed Scientific Inc, Wu Xi, China.
Xi'an HanThe Unimed Scientific Inc, Wu Xi, China.
Gang JiDepartment of Gastrointestinal Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China. jigang@fmmu.edu.cn.
Hailong DongDepartment of Anesthesiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China. hldong6@hotmail.com.
Huang NieDepartment of Anesthesiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China. niehuang@163.com.
Air Force Medical University · CNXijing Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe current study used a composite outcome to investigate whether applying the ERAS protocol would enhance the recovery of patients undergoing laparoscopic total gastrectomy (LTG). EXPOSURES: Laparoscopic total gastrectomy and perioperative interventions were the exposure. An ERAS clinical pathway consisting of 14 items was implemented and assessed. Patients were divided into either ERAS-compliant or non-ERAS-compliant group according the adherence above 9/14 or not. MAIN OUTCOMES AND MEASURES: The primary study outcome was a composite outcome called 'optimal postoperative recovery' with the definition as below: discharge within 6 days with no sever complications and no unplanned re-operation or readmission within 30 days postoperatively. Univariate logistic regression analysis and multivariate logistic regression analysis were used to model optimal postoperative recovery and compliance, adjusting for patient-related and disease-related characteristics.

resultsA total of 252 patients were included in this retrospective study, 129 in the ERAS compliant group and 123 in the non-ERAS-compliant group. Of these, 79.07% of the patients in ERAS compliant group achieved optimal postoperative recovery, whereas 61.79% of patients in non-ERAS-compliant group did (P = 0.0026). The incidence of sever complications was lower in the ERAS-compliant group (1.55% vs. 6.5%, P = 0.0441). No patients in ERAS compliant group had unplanned re-operation, whereas 5.69% (7/123) of patients in non-ERAS-compliant group had (p = 0.006). The median length of the postoperative hospital stay was shorter in the in the ERAS compliant group (5.51 vs. 5.68 days, P = 0.01). Both logistic (OR 2.01, 95% CI 1.21-3.34) and stepwise regression (OR 2.07, 95% CI 1.25-3.41) analysis showed that high overall compliance with the ERAS protocol facilitated optimal recovery in such patients. In bivariate analysis of compliance for patients who had an optimal postoperative recovery, carbohydrate drinks (p = 0.0196), early oral feeding (P = 0.0043), early mobilization (P = 0.0340), and restrictive intravenous fluid administration (P < 0.0001) were significantly associated with optimal postoperative recovery. CONCLUSIONS AND RELEVANCE: Patients with higher ERAS compliance (almost 70% of the accomplishment) suffered less severe postoperative complications and were more likely to achieve optimal postoperative recovery.

Indexed as

Enhanced Recovery After SurgeryLaparoscopyGastrectomyHumansLength of StayPostoperative ComplicationsRetrospective StudiesComplianceComplicationsEnhanced recovery after surgeryLaparoscopic total gastrectomyOptimal postoperative recovery

Identifiers

PMID38519945
PMCPMC10958831
OpenAlexW4393074803

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.