SynthesisInternational wound journal2024
Effect of humanised care on the surgical site wound infection after caesarean: A meta-analysis.
Synthesis 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 It has been retracted, and should not be counted. Cited by 4 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.
- Effect of humanised care on the surgical site wound infection after caesarean: A meta-analysis.International wound journal · 2024Pooled it
- RETRACTION: Impact of Evidence-Based Nursing on Surgical Site Wound Infection After Caesarean: A Meta-Analysis.International wound journal · 2025Article
- RETRACTION: Effect of Humanised Care on the Surgical Site Wound Infection After Caesarean: A Meta-Analysis.International wound journal · 2025Article
- RETRACTED: Impact of evidence-based nursing on surgical site wound infection after caesarean: A meta-analysis.International wound journal · 2024Article
Corrections and comments
- Retraction · 2025-03-03Author Unresponsive · Compromised Peer Review · Investigation by Journal/Publisher ·
- Retracted
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Herein, a meta-analysis was conducted to systematically evaluate the effect of humanised care on maternal postoperative wound infections in patients who underwent caesarean section. A computerised search of Embase, Cochrane Library, PubMed, Web of Science, China National Knowledge Infrastructure, Chinese Biomedical Literature Database and Wanfang database was performed, supplemented by a manual search from database inception to September 2023, to collate randomised controlled trials (RCTs) regarding the application of humanised care during the perioperative period of caesarean section. Two researchers screened and selected studies identified according to inclusion and exclusion criteria, and the included literature was evaluated for quality, extracted information and required data. Data analysis was performed using RevMan 5.4 software. Twenty RCTs comprising 2408 patients were included. The results revealed the humanised care group had a lower incidence of postoperative wound infections (0.83% vs. 4.32%, odds ratio [OR]: 0.26, 95% confidence interval [CI]: 0.15-0.46, p < 0.00001) and fewer postoperative complications than the conventional care group (4.32% vs. 16.35%, OR: 0.23, 95% CI: 0.16-0.31, p < 0.00001), with lower anxiety scores (standardised mean difference [SMD]: -3.15, 95% CI: -3.90 to -2.40, p < 0.00001) and depression scores (SMD: -3.68, 95% CI: -4.49 to -2.88, p < 0.00001). The application of humanised care during the perioperative period of caesarean section can prevent postoperative wound infection, reduce postoperative complications and help alleviate maternal anxiety and depression, which is worthy of clinical promotion and application.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.