Evidence map›Paper›PMID 36896307›Full record

ArticleWorld journal of gastrointestinal surgery2023

Analysis of the impact of ERAS-based respiratory function training on older patients' ability to prevent pulmonary complications after abdominal surgery.

Yue-Xia Gu, Xin-Yu Wang, Mei-Xia Xu, Jia-Jie Qian, Yan Wang

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in World journal of gastrointestinal surgery, 2023. 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
1.0field-weighted citation impact, top 26% 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

5 authors at 1 institution in 1 country.

Yue-Xia GuDepartment of Nursing, Shanghai Fourth People's Hospital Affiliated to Tongji University School of Medicine, Shanghai 200434, China.
Xin-Yu WangDepartment of General Surgery, Shanghai Fourth People's Hospital School of Medicine Tongji University, Shanghai 200434, China.
Mei-Xia XuDepartment of Nursing, Shanghai Fourth People's Hospital Affiliated to Tongji University School of Medicine, Shanghai 200434, China.
Jia-Jie QianDepartment of Nursing, Shanghai Fourth People's Hospital Affiliated to Tongji University School of Medicine, Shanghai 200434, China.
Yan WangDepartment of Nursing, Shanghai Fourth People's Hospital Affiliated to Tongji University School of Medicine, Shanghai 200434, China. 2205309@tongji.edu.cn.
Tongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn China, as the population grows older, the number of elderly people who have died from respiratory problems has increased.

aimTo investigate whether enhanced recovery after surgery (ERAS)-based respiratory function training may help older patients who had abdominal surgery suffer fewer pulmonary problems, shorter hospital stays, and improved lung function.

methodsThe data of 231 elderly individuals having abdominal surgery was retrospectively analyzed. Based on whether ERAS-based respiratory function training was provided, patients were divided into ERAS group (

resultsThe percentage of 18.75% of ERAS group participants and 34.45% of control group participants, respectively, had respiratory infections (

conclusionERAS-based respiratory function training may reduce the risk of pulmonary complications in older individuals undergoing abdominal surgery.

Indexed as

Abdominal surgeryEnhanced recovery after surgeryPulmonary complicationsRespiratory function training

Identifiers

PMID36896307
PMCPMC9988635
OpenAlexW4322506551

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.