Abstract | OBJECTIVE: To investigate and rank the evidence for the efficacy of non-pharmacological interventions in relieving pain after cardiac surgery using comprehensive comparisons. BACKGROUND: Although several previous systematic reviews and meta-analyses showed that non-pharmacological interventions effectively control and reduce pain after cardiac surgery, none quantitatively compared the effect of these different types of interventions. DESIGN: Systematic review and Bayesian network meta-analysis based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Network Meta-Analysis guidelines. METHODS: Six databases were searched from inception to April 2021 to collect all published evidence from randomised clinical trials. One author extracted the relevant information from the eligible trials; a second author independently reviewed the data. Before analysing the extracted data, two investigators independently assessed the quality of the included studies. Conventional meta-analysis was conducted using either fixed- or random-effects models according to statistical heterogeneity. The Bayesian network meta-analysis was conducted using the consistency model. RESULTS: CONCLUSIONS: RELEVANCE TO CLINICAL PRACTICE: The results of this network meta-analysis can guide patients after cardiac surgery and healthcare providers to make optimal decisions in managing postoperative cardiac pain. TRIAL REGISTRATION: PROSPERO CRD42021246183.
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Authors | Maobai Liu, Ruping Ni, Shunmin Huang, Xin Yang, Qinghua Lin, Pengtao Lin, Jing Yang |
Journal | Journal of clinical nursing
(J Clin Nurs)
Vol. 32
Issue 15-16
Pg. 4626-4637
(Aug 2023)
ISSN: 1365-2702 [Electronic] England |
PMID | 35949177
(Publication Type: Systematic Review, Meta-Analysis, Journal Article)
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Copyright | © 2022 John Wiley & Sons Ltd. |
Chemical References |
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Topics |
- Humans
- Pain Management
(methods)
- Analgesics, Opioid
- Network Meta-Analysis
- Bayes Theorem
- Cardiac Surgical Procedures
(adverse effects)
- Pain
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