Comparative Efficacy of Acupuncture Therapy in Primary Essential Tremor: A Network Meta-Analysis and Systematic Review
Abstract
1. Introduction
2. Methods
2.1. Inclusion and Exclusion Criteria
Article Inclusion Criteria
2.2. Intervention Types
2.3. Intervention Inclusion and Exclusion Criteria
2.4. Search Methods
2.5. Data Extraction
2.6. Data Extraction and Analysis
2.7. Methodological Quality Assessment of Included Studies
2.8. Data Analysis
2.9. Publication Bias
2.10. Sensitivity Analysis
3. Results
3.1. Search Results
3.2. Study Characteristics
3.3. Network Diagram of Different Interventions
3.4. Efficacy Results
3.5. Tremor Six Score
3.6. Adverse Events
3.7. Recurrence Rate
4. Discussion
4.1. Key Findings
4.2. Interpretation of Findings
4.3. Future Research Directions
4.4. Advantages and Limitations
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
References
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| Study | Sample Size | Sex (Male/Female) | Year | Intervention | Duration Of Use | Outcome | |||
|---|---|---|---|---|---|---|---|---|---|
| C/T | C | T | C | T | C | T | |||
| Chen lihua, 2006 [22] | 13/13 | NA | NA | 61.5 ± 4.4 | 58.8 ± 5.1 | Propranolol | Acupuncture + Scalp acupuncture + Propranolol | 1.5 months | A, B, C |
| Huang Junming 2022 [35] | 30/30 | 16/14 | 15/15 | 65.83 ± 9.12 | 62.63 ± 7.84 | Propranolol | Scalp Acupuncture + Propranolol | 1 month | A, B, D, E |
| Jiang Baolong 2008 [36] | 23/23 | 11/12 | 15/8 | 51.11 ± 10.62 | 49.91 ± 11.85 | Propranolol | Acupuncture + Electroacupuncture + Propranolol | 1.5 months | A, B |
| Jiang Baolong 2008 [37] | 23/23 | 12/11 | 14/9 | 51.3 | 50.4 | Propranolol | Acupuncture + Propranolol | 1.5 months | A, B |
| Liu Guanying 2015 [38] | 30/30 | 9/21 | 14/16 | 54.03 ± 11.15 | 55.57 ± 13.07 | Propranolol | Acupuncture + Electroacupuncture + Propranolol | 3 months | A, B |
| Sui Kangmin 2010 [40] | 30/30 | 16/14 | 18/12 | 60.2 ± 6.3 | 59.7 ± 5.9 | Propranolol | Acupuncture + Propranolol | 1 month | A, B |
| Wang Fei 2010 [31] | 18/18 | NA | NA | 62.3 | 62.3 | Propranolol | Acupuncture + Propranolol | 2 months | B, F |
| Yao Dong 2016 [25] | 25/25 | 12/13 | 14/11 | 60 ± 7 | 58 ± 8 | Propranolol | Acupuncture + Propranolol | 1 month | A, B, C |
| Zhang Yunjian 2022 [33] | 20/26 | 11/9 | 14/12 | 65.6 ± 6.8 | 64.3 ± 7.8 | Propranolol | Acupuncture + Massage (Tuina) + Siping Dingchan Drink +Propranolol | 2 months | B, E |
| Zhang Zhijun 2016 [26] | 40/40 | 18/22 | 19/21 | 65. 10 ± 8.22 | 66.35 ± 8.19 | Propranolol | Acupuncture + Tianma Gouteng Drink + Propranolol | 2 months | A, B, C |
| Cao Yang 2016 [32] | 24/24 | 14/10 | 15/9 | NA | NA | Propranolol | Acupuncture + Scalp acupuncture + Propranolol | 1.5 months | A, B |
| Song Zhihui 2010 [28] | 25/25 | 13/12 | 14/11 | 52 | 51 | Propranolol | Acupoint catgut embedding | 3 months | A, B |
| Pu Shiqian 2024 [39] | 34/34 | 13/19 | 15/17 | 62.22 ± 5.65 | 62.50 ± 6.51 | Propranolol | Acupuncture | 3 months | A, B, E |
| Qin Lina 2010 [27] | 30/30 | NA | NA | 48.9 | 48.9 | Propranolol | Acupuncture | 1 month | A, B |
| Sun Gangyuan 2016 [29] | 20/20 | 12/8 | 11/9 | 56.24 ± 8.69 | 55.22 ± 9.34 | Propranolol | Scalp Acupuncture | 1 month | A, B |
| Wang Zimei 2019 [24] | 26/26 | 11/15 | 14/12 | NA | NA | Propranolol | Acupoint catgut embedding + Electroacupuncture | 3 months | A, B, C |
| Chen lu 2024 [23] | 39/39 | 16/20 | 17/18 | 54.94 ± 6.58 | 57.31 ± 10.45 | Acupuncture | Electroacupuncture + Auricular Acupuncture | 1 month | B, C, D, G, I |
| Wang Song 2022 [41] | 30/30 | 13/17 | 17/13 | 66.57 ± 10.43 | 69.67 ± 11.06 | Acupuncture | Acupuncture | half a month | B, G, I, J |
| Chang Yu 2020 [34] | 26/26 | 16/10 | 14/12 | 50.15 ± 11.03 | 51.12 ± 11.24 | Acupuncture | Acupuncture | 1.5 months | A, B, C, D, K, |
| Wang Chen 2017 [30] | 30/30 | 17/13 | 14/16 | 60 ± 9 | 58 ± 8 | Acupuncture | Acupuncture | 1 month | A, B, H |
| A | - | - | - | - | - | - | - | - | - | - | - |
| 0.65 (0.24, 1.78) | A+P | - | - | - | - | 0.51 (0.05, 4.88) | 1.90 (0.06, 62.51) | 0.64 (0.09, 4.47) | - | 0.72 (0.13, 3.90) | 0.18 (0.05, 0.66) |
| 0.89 (0.23, 3.52) | 1.37 (0.33, 5.67) | S+P | - | - | - | - | - | - | - | - | - |
| 0.27 (0.03, 2.68) | 0.41 (0.04, 4.24) | 0.30 (0.02, 3.70) | S | - | - | - | - | - | - | - | - |
| 1.19 (0.23, 6.10) | 1.84 (0.35, 9.77) | 1.34 (0.20, 9.08) | 4.44 (0.31, 63.33) | ACE | - | - | - | - | - | - | - |
| 0.86 (0.26, 2.79) | 1.32 (0.39, 4.52) | 0.96 (0.21, 4.52) | 3.19 (0.29, 35.38) | 0.72 (0.12, 4.25) | A+E+P | - | - | - | - | - | - |
| 0.87 (0.23, 3.32) | 1.35 (0.34, 5.35) | 0.98 (0.19, 5.20) | 3.25 (0.27, 39.06) | 0.73 (0.11, 4.82) | 1.02 (0.23, 4.61) | A+S+P | 0.27 (0.01, 11.07) | 0.81 (0.08, 8.17) | - | 0.71 (0.09, 5.77) | 0.09 (0.01, 0.56) |
| 0.96 (0.20, 4.53) | 1.48 (0.30, 7.26) | 1.08 (0.17, 6.82) | 3.56 (0.26, 48.46) | 0.80 (0.10, 6.21) | 1.12 (0.20, 6.16) | 1.09 (0.18, 6.74) | E+AA | 2.98 (0.09, 102.34) | - | 2.62 (0.09, 78.19) | 0.33 (0.01, 8.46) |
| 0.64 (0.11, 3.84) | 0.98 (0.16, 6.12) | 0.72 (0.09, 5.59) | 2.38 (0.15, 37.53) | 0.53 (0.06, 4.99) | 0.74 (0.11, 5.12) | 0.73 (0.10, 5.54) | 0.67 (0.08, 5.89) | ACE+E | - | 0.88 (0.15, 5.13) | 0.11 (0.03, 0.47) |
| 0.50 (0.12, 2.19) | 0.78 (0.17, 3.53) | 0.57 (0.10, 3.35) | 1.88 (0.14, 24.31) | 0.42 (0.06, 3.07) | 0.59 (0.12, 3.01) | 0.58 (0.10, 3.31) | 0.53 (0.08, 3.59) | 0.79 (0.09, 6.58) | A+M+SDD+P | - | - |
| 0.83 (0.18, 3.82) | 1.28 (0.27, 6.14) | 0.93 (0.15, 5.78) | 3.08 (0.23, 41.33) | 0.69 (0.09, 5.27) | 0.97 (0.18, 5.21) | 0.95 (0.16, 5.71) | 0.86 (0.12, 6.18) | 1.30 (0.15, 11.26) | 1.64 (0.25, 10.99) | A+TGD+P | 0.13 (0.05, 0.36) |
| 3.40 (1.75, 6.63) | 5.25 (2.46, 11.16) | 3.82 (1.15, 12.71) | 12.67 (1.40, 114.42) | 2.85 (0.64, 12.64) | 3.97 (1.50, 10.50) | 3.89 (1.23, 12.35) | 3.56 (0.87, 14.47) | 5.33 (1.01, 28.21) | 6.75 (1.82, 25.03) | 4.11 (1.04, 16.29) | C |
| A | 1.41 (−0.32, 3.13) | 0.51 (−2.07, 3.10) | 0.96 (−1.13, 3.04) | 1.51 (−0.64, 3.66) | 0.85 (−1.89, 3.60) | 1.41 (−0.86, 3.69) | 3.08 (1.73, 4.44) |
| −1.41 (−3.13, 0.32) | A+P | −0.89 (−3.35, 1.56) | −0.45 (−2.32, 1.42) | 0.10 (−1.89, 2.10) | −0.55 (−3.17, 2.07) | 0.01 (−2.11, 2.13) | 1.68 (0.60, 2.75) |
| −0.51 (−3.10, 2.07) | 0.89 (−1.56, 3.35) | ACE | 0.44 (−2.25, 3.13) | 1.00 (−1.78, 3.77) | 0.34 (−2.91, 3.59) | 0.90 (−1.97, 3.77) | 2.57 (0.36, 4.78) |
| −0.96 (−3.04, 1.13) | 0.45 (−1.42, 2.32) | −0.44 (−3.13, 2.25) | A+E+P | 0.56 (−1.72, 2.83) | −0.10 (−2.94, 2.74) | 0.46 (−1.93, 2.85) | 2.13 (0.59, 3.67) |
| −1.51 (−3.66, 0.64) | −0.10 (−2.10, 1.89) | −1.00 (−3.77, 1.78) | −0.56 (−2.83, 1.72) | A+S+P | −0.66 (−3.58, 2.27) | −0.10 (−2.58, 2.39) | 1.57 (−0.11, 3.25) |
| −0.85 (−3.60, 1.89) | 0.55 (−2.07, 3.17) | −0.34 (−3.59, 2.91) | 0.10 (−2.74, 2.94) | 0.66 (−2.27, 3.58) | ACE+E | 0.56 (−2.45, 3.57) | 2.23 (−0.16, 4.62) |
| −1.41 (−3.69, 0.86) | −0.01 (−2.13, 2.11) | −0.90 (−3.77, 1.97) | −0.46 (−2.85, 1.93) | 0.10 (−2.39, 2.58) | −0.56 (−3.57, 2.45) | A+TGD+P | 1.67 (−0.16, 3.50) |
| −3.08 (−4.44, −1.73) | −1.68 (−2.75, −0.60) | −2.57 (−4.78, −0.36) | −2.13 (−3.67, −0.59) | −1.57 (−3.25, 0.11) | −2.23 (−4.62, 0.16) | −1.67 (−3.50, 0.16) | C |
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Shi, Q.; Han, J.; Chen, B.; Gao, S.; Shen, M. Comparative Efficacy of Acupuncture Therapy in Primary Essential Tremor: A Network Meta-Analysis and Systematic Review. Healthcare 2026, 14, 803. https://doi.org/10.3390/healthcare14060803
Shi Q, Han J, Chen B, Gao S, Shen M. Comparative Efficacy of Acupuncture Therapy in Primary Essential Tremor: A Network Meta-Analysis and Systematic Review. Healthcare. 2026; 14(6):803. https://doi.org/10.3390/healthcare14060803
Chicago/Turabian StyleShi, Qingping, Jieru Han, Beiyan Chen, Shuang Gao, and Mingli Shen. 2026. "Comparative Efficacy of Acupuncture Therapy in Primary Essential Tremor: A Network Meta-Analysis and Systematic Review" Healthcare 14, no. 6: 803. https://doi.org/10.3390/healthcare14060803
APA StyleShi, Q., Han, J., Chen, B., Gao, S., & Shen, M. (2026). Comparative Efficacy of Acupuncture Therapy in Primary Essential Tremor: A Network Meta-Analysis and Systematic Review. Healthcare, 14(6), 803. https://doi.org/10.3390/healthcare14060803

