Document Type

Journal Article

Publication Title

Holistic nursing practice

Volume

36

Issue

4

First Page

198

Last Page

208

PubMed ID

35708556

Publisher

Wolters Kluwer

School

School of Medical and Health Sciences / School of Nursing and Midwifery

RAS ID

52714

Funders

Golden Sunflower Pty Ltd, Industry Engagement PhD Scholarship (G1004815)

Edith Cowan University, award-February 24, 2020

Comments

This is a non-final version of an article published in final form in Zhang, M., Wang, C. C., & Lo, J. (2022). Should Acupuncture-Related Therapies be Considered in Prediabetes Control? Results From a Systematic Review and Meta-analysis of Randomized Controlled Trials. Holistic Nursing Practice, 36(4), 198-208. https://doi.org/10.1097/HNP.0000000000000530

Zhang, M., Wang, C. C., & Lo, J. (2022). Should Acupuncture-Related Therapies be Considered in Prediabetes Control? Results From a Systematic Review and Meta-analysis of Randomized Controlled Trials. Holistic Nursing Practice, 36(4), 198-208.

https://doi.org/10.1097/HNP.0000000000000530

Abstract

To assess the effects and safety of acupuncture-related therapy (AT) interventions on glycemic control for prediabetes, we systematically searched 14 databases and 5 clinical registry platforms from inception to December 2020. Randomized controlled trials involving AT interventions for managing prediabetes were included (PROSPERO registration no. CRD42020209809). Of the 855 identified trials, 34 articles were included for qualitative synthesis, 31 of which were included in the final meta-analysis. Compared with usual care, sham intervention, or conventional medicine, AT treatments yielded greater reductions in the primary outcomes, including fasting plasma glucose (FPG) (standard mean difference [SMD] = -0.83; 95% confidence interval [CI], -1.06, -0.61; P < .00001), 2-hour plasma glucose (2hPG) (SMD = -0.88; 95% CI, -1.20, -0.57; P < .00001), and glycated hemoglobin (HbA1c) levels (SMD = -0.91; 95% CI, -1.31, -0.51; P < .00001), as well as a greater decline in the secondary outcome, which is the incidence of prediabetes (RR = 1.43; 95% CI, 1.26, 1.63; P < .00001). AT is thus a potential strategy that can contribute to better glycemic control in the management of prediabetes. Because of the substantial clinical heterogeneity, the effect estimates should be interpreted with caution. More research is required for different ethnic groups and long-term effectiveness.

DOI

10.1097/HNP.0000000000000530

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