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Meta-analysis of the efficacy of acupuncture and moxibustion in the treatment of non-motor symptoms of Parkinson's disease

  • S.I. : Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIOT 2021)
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Abstract

Since the new century, there have been more and more survey reports on the use of acupuncture in the field of tremor and paralysis, reflect the health and accuracy of acupuncture in the field of tremor and paralysis, this article discusses the comparison of the therapeutic effects of acupuncture treatment for tremor paralysis with non-exercise disease, and proposes clinical guiding significance for the treatment of tremor paralysis by acupuncture and moxibustion, and the future-related clinical research can be improved. This paper aims to make acupuncture give full play to its own advantages in the treatment of non-motor symptoms of Parkinson's disease by studying the Meta-analysis of the efficacy of acupuncture and moxibustion in the treatment of non-motor symptoms of Parkinson's disease. This paper proposes a classification model of fifty-layer cyclotron neural network based on deep residual framework. After more than 80,000 clinical ECG assessments, the accurate classification of positive abnormal tremor paralysis has been achieved. In this study, a simple random method was used to randomly divide 120 patients into the treatment group (combined governor tremor group), the control group one (Tongdu acupuncture group), and the control group two (tremor three-needle group). After maintaining modern treatment, three types of acupuncture treatments with different main points are added. The combined group of governor and tremor takes Baihui, Shenting, Yintang, Suliao, Houxi, Shenmai, Sishenzhen, Fengchi, Hegu, and Taichong, Xingping replenishing and reducing technique; Tongdu acupuncture group takes Baihui, Shenting, Yintang, Suliao, Houxi, Shenmai, Xingping replenishing and reducing technique; trembling three-needle group takes Sishen needle, Fengchi, Hegu, Tai Chong, the method of replenishing, replenishing and reducing. Meta-analysis uniformly uses tremor paralysis NMS, SCOPA-UT, PDS and several other efficacy observation indicators. This article uses a fixed-effects model to meta-analyze the experimental conclusions. RR = 1.26, 94% CI is [1.24, 1.71], P = 0.0001 < 0.05, it is considered that the combined effect size is statistically significant, and the effectiveness of acupuncture.

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References

  1. Liu ZG, Gan J (2020) Strengthening the standardized management of non-motor symptoms in Parkinson’s disease. Zhonghua Yi Xue Za Zhi 100(27):2081–2083

    Google Scholar 

  2. Chen FP, Chang CM, Shiu JH et al (2015) A clinical study of integrating acupuncture and western medicine in treating patients with Parkinson’s disease. Am J Chin Med 43(03):407–423

    Article  Google Scholar 

  3. Qiang T, Gai C, Chai Y et al (2019) Combination therapy of scalp electro-acupuncture and medication for the treatment of Parkinson’s disease: a systematic review and meta-analysis. Chin Med Sci J (English) 006(001):26–34

    Google Scholar 

  4. Chen L, Wei Y, Liu M (2019) Effects of Tonifying kidney and benefiting marrow method on non-motor symptoms of Parkinson’s disease with kidney deficiency and marrow reduction. J Tradit Chin Med 060(003):229–231236

    Google Scholar 

  5. Zeng BY, Zhao K (2016) Effect of acupuncture on the motor and nonmotor symptoms in Parkinson’s disease—a review of clinical studies. Cns Neuroence Ther 22(5):333–341

    Article  Google Scholar 

  6. Li BD, Cui JJ, Song J et al (2018) Comparison of the efficacy of different drugs on non-motor symptoms of Parkinson’s disease: a network meta-analysis. Cell Physiol Biochem 45(1):119–130

    Article  Google Scholar 

  7. Dafsari SH, Reddy P et al (2016) Beneficial effects of bilateral subthalamic stimulation on non-motor symptoms in Parkinson’s disease. Brain Stimul 9(1):78–85

    Article  Google Scholar 

  8. Dilan A, Kate M, Natalia B et al (2018) What effects might exenatide have on non-motor symptoms in Parkinson’s disease: a post hoc analysis. J Parkinsons Dis 8(2):247–258

    Article  Google Scholar 

  9. Trenkwalder C, Kies B, Rudzinska M et al (2015) Rotigotine effects on early morning motor function and sleep in Parkinson’s disease: a double-blind, randomized, pLacebo-Controlled Study (RECOVER). Mov Disord 26(1):90–99

    Article  Google Scholar 

  10. Amara AW, Memon AA (2018) Effects of exercise on non-motor symptoms in Parkinson’s disease. Clin Ther 40(1):8–15

    Article  Google Scholar 

  11. Luginger E, Wenning GK, Bösch S et al (2015) Beneficial effects of amantadine on L-dopa-induced dyskinesias in Parkinson’s disease. Mov Disord 15(5):873–878

    Article  Google Scholar 

  12. Nagasubramanian G, Sankayya M (2021) Multi-variate vocal data analysis for detection of Parkinson disease using deep learning. Neural Comput Appl 33:4849–4864

    Article  Google Scholar 

  13. Fernandez HH, Lapane KL (2015) Estrogen use among nursing home residents with a diagnosis of Parkinson’s disease. Mov Disord 15(6):1119–1124

    Article  Google Scholar 

  14. Amini M, Pedram MM, Moradi A, Jamshidi M, Ouchani M (2021) Single and combined neuroimaging techniques for Alzheimer's disease detection. Comput Intell Neurosci 9523039:1–9523039:22

  15. Martinez-Martin P, Chaudhuri KR, Rojo-Abuin JM et al (2015) Assessing the non-motor symptoms of Parkinson’s disease: MDS-UPDRS and NMS Scale. Eur J Neurol 22(1):37–43

    Article  Google Scholar 

  16. Singh G, Jain TK, Liu W et al (2020) Effects of balance training on nonmotor symptoms in individuals with Parkinson disease. Top Geriatr Rehabil 36(3):187–193

    Article  Google Scholar 

  17. Park JY, Choi H, Baek S et al (2015) p53 signalling mediates acupuncture-induced neuroprotection in Parkinson’s disease. Biochem Biophys Res Commun 460(3):772–779

    Article  Google Scholar 

  18. Nutt JG, Lea ES, Houten LV et al (2015) Determinants of tapping speed in normal control subjects and subjects with Parkinson’s disease: differing effects of brief and continued practice. Mov Disord 15(5):843–849

    Article  Google Scholar 

  19. Welsh MD, Dorflinger E, Chernik D et al (2015) Illness impact and adjustment to Parkinson’s disease: before and after treatment with tolcapone. Mov Disord 15(3):497–502

    Article  Google Scholar 

  20. Bianchi MLE, Riboldazzi G, Mauri M et al (2019) Correction to: Efficacy of safinamide on non-motor symptoms in a cohort of patients affected by idiopathic Parkinson’s disease. Neurological ences 40(2):281–281

    Article  Google Scholar 

  21. Wang S, Ma B, Ma J et al (2015) Effects of electroacupuncture on the expression of related protein mRNA in the striatum in rats with Parkinson’s disease. Chin Acupunct Moxib 35(7):697–701

    MathSciNet  Google Scholar 

  22. Yang Y, Miao S, Zhou R et al (2019) The development of visual neuroimaging research of acupuncture in the treatment of Parkinson’s disease. Brain Sci Adv 5(3):161–168

    Article  Google Scholar 

  23. Abeliovich A, Gitler AD (2016) Defects in trafficking bridge Parkinson’s disease pathology and genetics. Nature 539(7628):207–216

    Article  Google Scholar 

  24. Sohn SA, Lee KY, Kim CW et al (2018) Acupuncture treatment in clinical studies for Parkinson’s disease: a literature review. J Acupunct Res 35(4):149–157

    Article  Google Scholar 

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Acknowledgements

This work was supported by Hubei Provincial Education Planning General Project (2020GB004)

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Correspondence to Mingang Guo.

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Huang, G., Guo, M. Meta-analysis of the efficacy of acupuncture and moxibustion in the treatment of non-motor symptoms of Parkinson's disease. Neural Comput & Applic 35, 2089–2101 (2023). https://doi.org/10.1007/s00521-022-07198-1

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  • DOI: https://doi.org/10.1007/s00521-022-07198-1

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