Acupuncture for diabetic peripheral neuropathy: A systematic review and Bayesian network meta-analysis

Area of Science:

• Neurology
• Integrative Medicine
• Evidence-Based Medicine

Background:

• Diabetic peripheral neuropathy (DPN) is a growing global health concern.
• Acupuncture is increasingly used for DPN, but optimal interventions remain unclear.
• This study identifies the most effective acupuncture therapies for DPN.

Purpose of the Study:

• To systematically review and network meta-analyze evidence on acupuncture therapies for DPN.
• To identify the optimal acupuncture intervention for DPN patients receiving mecobalamin therapy.
• To compare the benefits and harms of various acupuncture techniques.

Main Methods:

• Systematic review and random-effects Bayesian network meta-analysis.
• Searched databases from inception to October 2024 for relevant randomized controlled trials (RCTs).
• Included 62 RCTs with 5942 participants evaluating acupuncture for DPN.

Main Results:

• Electroacupuncture showed the most significant improvement in motor nerve conduction velocity.
• Acupoint injection (AI) was most effective for improving sensory nerve conduction velocity.
• Other effective therapies included AI combined with TCM, herbal fumigation, and manual acupuncture.

Conclusions:

• Electroacupuncture is the leading therapy for enhancing motor nerve function in DPN.
• Acupoint injection (AI) is the preferred therapy for improving sensory nerve function in DPN.
• These findings guide the selection of optimal acupuncture interventions for DPN.