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Comparative Study
. 2025 Jun 18:16:1553684.
doi: 10.3389/fendo.2025.1553684. eCollection 2025.

Comparative effects of acupuncture and metformin on insulin sensitivity in women with polycystic ovary syndrome: a systematic review and meta-analysis

Affiliations
Comparative Study

Comparative effects of acupuncture and metformin on insulin sensitivity in women with polycystic ovary syndrome: a systematic review and meta-analysis

Yun Wang et al. Front Endocrinol (Lausanne). .

Abstract

Objective: To systematically evaluate the clinical efficacy of acupuncture and metformin on insulin resistance (IR) in women with Polycystic Ovary Syndrome (PCOS).

Methods: A computer search was conducted up to September 30, 2024, in databases including PubMed, EMBASE, Cochrane Library, China Biology Medicine disc (CBM), China National Knowledge Infrastructure (CNKI), Wanfang, and VIP, to collect randomized controlled trials (RCTs) on acupuncture treatment for PCOS. The effect of acupuncture and metformin on insulin sensitivity in PCOS patients was assessed. Two researchers independently screened the literature, extracted data, and evaluated the quality of included studies using the bias assessment tool recommended in the Cochrane Handbook for Systematic Reviews of Interventions 5.1.0. Meta-analysis and network analysis were conducted using Stata 17.Our primary outcome measure was the homeostasis model assessment of insulin resistance(HOMA-IR).The secondary outcomes were fasting blood glucose (FBG), fasting insulin (FINS), body mass index (BMI), and waist-to-hip ratio (WHR).

Results: A total of 11 RCTs involving 1,248 patients were included. The meta-analysis results showed that the reduction in HOMA-IR [SMD = 0.17, 95% CI (-0.18, 0.52)] and FINS [SMD = 0.17, 95% CI (-0.38, 0.71)] values in the acupuncture group were smaller than those in the metformin group. However, reductions in BMI [SMD = -0.15, 95% CI (-0.88, 0.58)], WHR [SMD = -0.15, 95% CI (-0.88, 0.58)], and FPG [SMD = -0.19, 95% CI (-0.40, 0.02)] were greater in the acupuncture group than in the metformin group, but the differences were not statistically significant. Subgroup analysis with placebo interventions added to each group showed that metformin plus sham acupuncture was more effective than acupuncture plus placebo in reducing HOMA-IR values [SMD = 0.49, 95% CI (0.02, 0.96)] with a statistically significant difference; acupuncture plus placebo treatment had a greater advantage in reducing FPG [SMD = -0.38, 95% CI (-0.57, -0.19)] with a statistically significant difference. The network meta-analysis results indicated that only Electroacupuncture (SMD = -0.27, 95% CI [-1.37, 0.83]) and Abdominal acupuncture (SMD = -0.13, 95% CI [-1.19, 0.94]) demonstrated significant effects on reducing HOMA-IR values in women with polycystic ovary syndrome (PCOS) compared to Metformin. However, the differences between groups were not statistically significant. Furthermore, based on SUCRA values, the advantages of various acupuncture modalities for interventions targeting HOMA-IR outcomes were ranked. Electroacupuncture was identified as the most effective intervention for lowering HOMA-IR values in women with PCOS-related insulin resistance (SUCRA value: 67.4%), followed by Abdominal acupuncture (SUCRA value: 58%).

Conclusion: Metformin is more effective in improving HOMA-IR in patients with PCOS, while acupuncture has a greater advantage in reducing FPG. Among the different acupuncture modalities, Electroacupuncture emerged as the optimal intervention for reducing HOMA-IR values in insulin-resistant women with PCOS. Due to the limitations of existing studies, the conclusions of this study need to be confirmed by high-quality, large-sample, multicenter RCTs.

Systematic review registration: https://www.crd.york.ac.uk/prospero/, identifier CRD42023381672.

Keywords: acupuncture; insulin resistance; meta-analysis; metformin; polycystic ovary syndrome; systematic review.

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Literature screening process and results.
Figure 2
Figure 2
Assessment of risk biases of the included studies.
Figure 3
Figure 3
Comparison of changes in HOMA-IR according to intervention.
Figure 4
Figure 4
Comparison of changes in BMI according to intervention.
Figure 5
Figure 5
Comparison of changes in WHR according to intervention.
Figure 6
Figure 6
Comparison of changes in FPG according to intervention.
Figure 7
Figure 7
Comparison of changes in FINS according to intervention.
Figure 8
Figure 8
Comparison of changes in HOMA-IR according to intervention.
Figure 9
Figure 9
Comparison of changes in BMI according to intervention.
Figure 10
Figure 10
Comparison of changes in WHR according to intervention.
Figure 11
Figure 11
Comparison of changes in FPG according to intervention.
Figure 12
Figure 12
Comparison of changes in FINS according to intervention.
Figure 13
Figure 13
The network diagram of HOMA-IR.
Figure 14
Figure 14
The league table of HOMA-IR.
Figure 15
Figure 15
The rank chart of HOMA-IR.

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