Evidence map›Paper›PMID 42052936›Full record

ArticleInternational wound journal2024

RETRACTED: Impact of evidence-based nursing on surgical site wound infection after caesarean: A meta-analysis.

Li-Hua Zhang, Jian-Li Wu, Qin Zhang, Nai-Mei Li, Wen-Ying Li

RetractedAbstract readRetracted Publication
In one paragraph

Article in International wound journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Li-Hua ZhangDepartment of Obstetrics, People's Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Jian-Li WuDepartment of Otolaryngology, People's Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Qin ZhangDepartment of Emergency, People's Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Nai-Mei LiDepartment of Obstetrics, People's Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Wen-Ying LiDepartment of Obstetrics, People's Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We conducted this study to investigate the effect of evidence-based care on surgical site wound infection after caesarean section. A computerised search of PubMed, Embase, Google Scholar, Cochrane Library, China National Knowledge Infrastructure and Wanfang databases for randomised controlled trials (RCTs) on the use of evidence-based care in caesarean section delivery was applied from the database inception to November 2023. Two researchers independently screened the literature, extracted data and performed quality assessment based on inclusion and exclusion criteria. Stata 17.0 software was applied for data analysis. Twenty-one RCTs involving 3269 caesarean sections were finally included. The analysis revealed the implementation of evidence-based nursing interventions was effective in reducing the incidence of post-caesarean section wound infections (OR = 0.29, 95% CI: 0.21-0.39, p < 0.001) and complications (OR = 0.29, 95% CI: 0.23-0.38, p < 0.001) compared with conventional care. This study shows that the application of evidence-based nursing in postoperative caesarean section care can effectively reduce the incidence of postoperative wound infection and complications and improve the quality of life, which is worthy of clinical nursing application and promotion.

Indexed as

caesarean sectionevidence‐based nursingmeta‐analysiswound infection

Identifiers

PMID42052936
PMCPMC10831914

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.