Evidence map›Paper›PMID 35662829›Full record

ArticleFrontiers in surgery2022

Model-Based Computational Analysis on the Effectiveness of Enhanced Recovery after Surgery in the Operating Room with Nursing.

Wenji Li, Shu Huang, Yong Xie, Guanyu Chen, Jun Yuan, Yun Yang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

6 authors at 4 institutions in 1 country.

Wenji LiThe First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Shu HuangDepartment of Orthopedics, Hunan Provincial People's Hospital (The First-Affiliated Hospital of Hunan Normal University), Changsha, China.
Yong XieDepartment of Orthopedics, Hunan Provincial People's Hospital (The First-Affiliated Hospital of Hunan Normal University), Changsha, China.
Guanyu ChenDepartment of Orthopedics, Hunan Provincial People's Hospital (The First-Affiliated Hospital of Hunan Normal University), Changsha, China.
Jun YuanDepartment of Orthopedics, Hunan Provincial People's Hospital (The First-Affiliated Hospital of Hunan Normal University), Changsha, China.
Yun YangThe First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Hunan Normal University · CNHunan Provincial People's Hospital · CNSun Yat-sen University · CNThe First Affiliated Hospital, Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: In order to better understand the relative surgical process, this work used a model-based computational analysis on the effectiveness of enhanced recovery after surgery (ERAS) in the operating room with nursing. Methods: A total of 360 surgical patients in the First Affiliated Hospital, Sun Yat-sen University, from the period June 2020 to March 2021, were randomly divided into two groups, namely, observation group and control group, with 180 cases in each group. Routine nursing was used in the control group, while ERAS was implemented in the observation group from the point of view of four aspects, namely, preoperative visit, intraoperative cooperation, postoperative return visit, and psychological intervention. Results: Postoperative complications, average hospital stay, nursing satisfaction, and postoperative quality of life in the observation group were significantly better than those in the control group (all Conclusion: The application of ERAS for surgical patients can enhance team awareness, optimize the process of cooperation, reduce surgical complications and improve nursing quality, and prognosis, and it is worth popularizing in the operating room.

Indexed as

complicationenhanced recovery after surgeryoperating room nursingsatisfactionsurgery

Identifiers

PMID35662829
PMCPMC9159805
OpenAlexW4280587025

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.