SYSTEMATIC REVIEW article
Front. Pediatr.
Sec. Neonatology
Volume 13 - 2025 | doi: 10.3389/fped.2025.1547308
A Bayesian Network Meta-Analysis of Non-Pharmacological Interventions for Neonatal Pain Management: A Clinical Effectiveness Comparison
Provisionally accepted
- 1Yuhuan People's Hospital, Taizhou, China
- 2University of North Carolina at Greensboro, Greensboro, United States
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Background: Newborns are particularly vulnerable to pain, and non-pharmacological methods are frequently employed for pain management due to their lack of side effects. However, there is a lack of comprehensive comparison and ranking of the effectiveness of various non-pharmacological interventions.Objective: To evaluate the effectiveness of non-pharmacological interventions and to determine whether differences exist in the efficacy of various interventions.Design: Systematic review and network meta-analysis.Data source: RCTs studies in MEDLINE, EMBASE, Web of Science, Cochrane Central Register of Controlled Trials from inception to November 1, 2024.Review methods: Up to November 1, 2024, we conducted a comprehensive search across four databases to identify studies meeting our inclusion criteria. A Bayesian model was employed for the analysis, and heterogeneity was quantified using random-effects standard deviation (RESD), τ², and I² statistics. The certainty of the synthesized evidence was evaluated using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) approach. This study protocol has been registered with PROSPERO.
Keywords: Non-pharmacological, Network meta-analyses, Pain mamgement, Neonatal Infant Pain Scale, randomized clincial trial, SUCRA, Newborn
Received: 18 Dec 2024; Accepted: 25 Apr 2025.
Copyright: © 2025 xu, pan, xiang, Zheng, sun, li, hu and xue. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Bo Zheng, University of North Carolina at Greensboro, Greensboro, United States
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