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Acupuncture for insomnia symptoms in hypertensive patients: a systematic review and meta-analysis

Authors :
Jieying Zhang
Xuancheng Zhou
Hailun Jiang
Weiming Zhu
Hao Chi
Lai Jiang
Shengke Zhang
Jinyan Yang
Shizhe Deng
Boxuan Li
Bifang Zhuo
Menglong Zhang
Beidi Cao
Zhihong Meng
Source :
Frontiers in Neurology, Vol 15 (2024)
Publication Year :
2024
Publisher :
Frontiers Media S.A., 2024.

Abstract

PurposeIn the realm of pain management, traditional Chinese medicine, specifically acupuncture, has garnered increasing attention. This meta-analysis pioneers the evaluation of acupuncture’s effectiveness in treating insomnia among hypertensive patients.MethodsWe conducted a comprehensive search across several databases—PubMed, Web of Science, Cochrane Library, WANFANG, China National Knowledge Infrastructure (CNKI), Sinomed, and the Chinese Journal of Science and Technology (VIP). Additionally, forward and backward articles of studies published from the inception of these databases until 10 September 2023, were reviewed. This systematic review and meta-analysis included all randomized controlled trials (RCTs) focusing on acupuncture for insomnia in hypertensive patients, without imposing language or date restrictions. We rigorously assessed all outcome measures reported in these trials. The evidence was synthesized by calculating the difference between mean differences (MD) in symptom change. The quality of the evidence was determined using the Cochrane Risk of Bias tool. This study is registered with PROSPERO under number CRD42023461760.ResultsOur analysis included 16 RCTs, comprising 1,309 patients. The findings revealed that acupuncture was significantly more effective than the control group in reducing insomnia symptoms, as indicated by a greater decrease in the PSQI score (MD = −3.1, 95% CI [−3.77 to −2.62], p

Details

Language :
English
ISSN :
16642295
Volume :
15
Database :
Directory of Open Access Journals
Journal :
Frontiers in Neurology
Publication Type :
Academic Journal
Accession number :
edsdoj.51c38fc550c4469b8812c27b499d785c
Document Type :
article
Full Text :
https://doi.org/10.3389/fneur.2024.1329132