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针灸治疗糖尿病周围神经病变:一项系统评价与贝叶斯网络Meta分析

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

作者信息

Lin Shuxiong, Qin Yu, Li Miaomiao, Zhu Maohuai, Wen Hao, Liu Yifen, Lin Huijing, Lu Liming

机构信息

Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong Province, China.

Huizhou Hospital of Traditional Chinese Medicine, Huizhou, Guangdong Province, China.

出版信息

Medicine (Baltimore). 2025 Aug 8;104(32):e43796. doi: 10.1097/MD.0000000000043796.

Abstract

BACKGROUND

Diabetic peripheral neuropathy (DPN) has emerged as a global health challenge with increasing prevalence rates over the past 3 decades. Acupuncture has been increasingly utilized for the treatment of DPN in recent years. However, whether any specific acupuncture intervention should be considered a priority in the treatment of patients is still unclear.We aimed to summarize the latest evidence concerning the benefits and harms of acupuncture-related therapies to identify an optimal acupuncture intervention for DPN patients.

METHODS

This systematic review and network meta-analysis searched databases from inception to October 2024 for randomized controlled trials (RCTs) evaluating acupuncture interventions in patients with DPN receiving mecobalamin therapy. We performed random-effects Bayesian network meta-analyses to synthesize evidence from eligible RCTs.

RESULTS

Our systematic search identified 1831 citations with 62 eligible RCTs involving 5942 participants. Electroacupuncture may be the most effective at improving motor nerve conduction velocity (mean difference [MD]: 10.65; 95% confidence interval [CI]: 4.6-16.7), followed by acupoint injection (AI) combined with traditional Chinese medicine (TCM), AI, herbal fumigation (HF), manual acupuncture (MA), MA combined with HF, and MA combined with moxibustion, with MDs of (10.37; 95% CI: 6.17-14.61), (4.67; 95% CI: 2.57-6.82), (4.72; 95% CI: 1.31-8.14), (3.36; 95% CI: 2.1-4.64), (5.93; 95% CI: 2.53-9.33), and (4.8; 95% CI: 1.69-7.94). AI may be the most effective at improving sensory nerve conduction velocity (MD: 3.94; 95% CI: 2.33-5.57), followed by acupoint injection combined with TCM, bloom needle, HF, MA, MA combined with HF, MA combined with moxibustion, and MA combined with TCM, with MDs of 8.69 (95% CI: 3.72-13.61), 5.6 (95% CI: 2.2-8.99), 4.58 (95% CI: 1.49-7.71), 3.72 (95% CI: 2.62-4.85), 25 (95% CI: 1.64-6.85), 3.58 (95% CI: 1.13-6.08), and 5.7 (95% CI: 4.24-7.17), with low certainty evidence.

CONCLUSION

Electroacupuncture may be the most effective therapy for improving motor nerve conduction function, and AI may be the best therapy for improving sensory nerve conduction function in patients with DPN.

摘要

背景

糖尿病周围神经病变(DPN)在过去30年中患病率不断上升,已成为一项全球性的健康挑战。近年来,针灸越来越多地被用于治疗DPN。然而,对于患者治疗中是否应将某种特定的针灸干预作为优先选择仍不明确。我们旨在总结有关针灸相关疗法的益处和危害的最新证据,以确定针对DPN患者的最佳针灸干预措施。

方法

本系统评价和网状Meta分析检索了从数据库建立至2024年10月的数据库,以查找评估接受甲钴胺治疗的DPN患者的针灸干预措施的随机对照试验(RCT)。我们进行了随机效应贝叶斯网状Meta分析,以综合符合条件的RCT的证据。

结果

我们的系统检索共识别出1831条引文,其中62项符合条件的RCT涉及5942名参与者。电针可能在改善运动神经传导速度方面最有效(平均差值[MD]:10.65;95%置信区间[CI]:4.6 - 16.7),其次是穴位注射(AI)联合中药(TCM)、AI、中药熏蒸(HF)、手动针刺(MA)、MA联合HF以及MA联合艾灸,MD分别为(10.37;95%CI:6.17 - 14.61)、(4.67;95%CI:2.57 - 6.82)、(4.72;95%CI:1.31 - 8.14)、(3.36;95%CI:2.1 - 4.64)、(5.93;95%CI:2.53 - 9.33)和(4.8;95%CI:1.69 - 7.94)。AI可能在改善感觉神经传导速度方面最有效(MD:3.94;95%CI:2.33 - 5.57),其次是穴位注射联合中药、梅花针、HF、MA、MA联合HF、MA联合艾灸以及MA联合中药,MD分别为8.69(95%CI:3.72 - 13.61)、5.6(95%CI:2.2 - 8.99)、4.58(95%CI:1.49 - 7.71)、3.72(95%CI:2.62 - 4.85)、2.5(95%CI:1.64 - 6.85)、3.58(95%CI:1.13 - 6.08)和5.7(95%CI:4.24 - 7.17),证据确定性较低。

结论

电针可能是改善DPN患者运动神经传导功能最有效的疗法,而AI可能是改善感觉神经传导功能的最佳疗法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff8b/12338170/c57392ac340b/medi-104-e43796-g001.jpg

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