Preferred reporting items for network meta-analysis of acupuncture-related therapies: the PRINMA-A statement_Chinese Journal of Evidence-Based Medicine

Authors：

XU Meng ^1,2,3 , CUI Lu ^1,2,3 , LIANG Shanshan ^1,2,3 , NIAN Tao ^1,2,3 , HU Xiaoye ^1,2,3 , HUANG Jiayi ^1,2,3 , WU Yanan ^2,3 , YAN Xinyu ⁴ , WANG Ziyi ^1,2,3 , WANG Yan ^1,2,3 , XUE Jianjun ⁵ ,  YANG Kehu ^1,2,3 ,  LI Xiuxia ^1,2,3

1. Health Technology Assessment Center /Evidence Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou 730000, P. R. China;
2. Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, P. R. China;
3. Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou University, Lanzhou 730000, P. R. China;
4. Institute of Acupuncture and Moxibustion, China Academy of Chinese Medical Science, Beijing 100700, P. R. China;
5. Anesthesia and Pain Medicine Centre, Gansu Provincial Hospital of Traditional Chinese Medicine, Lanzhou 730000, P. R. China;

Corresponding author：

YANG Kehu, Email: kehuyangebm2006@126.com; LI Xiuxia, Email: lixiuxia@lzu.edu.cn

Keywords：

Acupuncture; Network meta-analysis; Reporting guideline; Evidence-based research

DOI：

10.7507/1672-2531.202504040

Video：

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Objective The aim of this study is to construct reporting standards for acupuncture network meta-analysis, providing guidance to enhance the quality of evidence reported in acupuncture therapy research. Methods A Delphi questionnaire was developed based on the preliminary research and literature findings, 20 experts were selected for correspondence to determine the final checklists of items, and then finalized the list of report items. Results A total of two rounds of Delphi questionnaires were made. The expert positivity coefficient (100%), the expert familiarity (0.80) and the expert authority (0.83) were the same in both rounds, the Kendall's coordination coefficients were 0.117 (P<0.001) and 0.332 (P<0.001), respectively, which ultimately led to the formation of the 7 fields of title, abstract, introduction, methods, results, discussion and other, including 23 specific items of the acupuncture-related therapies NMA standards. Conclusion The PRINMA-A statement will help to improve the reporting quality of evidence on acupuncture-related therapies, promote the dissemination and translation of evidence on acupuncture-related therapies.

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2.	Allen J, Mak SS, Begashaw M, et al. Use of acupuncture for adult health conditions, 2013 to 2021: a systematic review. JAMA Netw Open, 2022, 5(11): e2243665.
3.	MacPherson H, Vickers A, Bland M, et al. Acupuncture for chronic pain and depression in primary care: a programme of research. Southampton (UK): NIHR Journals Library, 2017.
4.	National Center for Complementary And Alternative Medicine. Acupuncture: in depth. 2014.
5.	中共中央国务院关于促进中医药传承创新发展的意见. 中华人民共和国国务院公报, 2019, (31): 6-10.
6.	国家中医药管理局. 中医药标准化行动计划(2024—2026年). 2024.
7.	Ifrim Chen F, Antochi AD, Barbilian AG. Acupuncture and the retrospect of its modern research. Rom J Morphol Embryol, 2019, 60(2): 411-418.
8.	陈璐, 范林鹃, 焦琮舒, 等. 近五年针灸治疗纤维肌痛综合征的作用机制研究进展. 中医药临床杂志, 2024, 36(3): 583-587.
9.	王艳, 王子怡, 徐子涵, 等. 针刺疗法网状Meta分析报告规范关键问题研究. 中国循证医学杂志, 2023, 23(12): 1442-1448.
10.	Wang X, Chen Y, Liu Y, et al. Reporting items for systematic reviews and meta-analyses of acupuncture: the PRISMA for acupuncture checklist. BMC Complement Altern Med, 2019, 19(1): 208.
11.	Yuan T, Xiong J, Wang X, et al. The quality of methodological and reporting in network meta-analysis of acupuncture and moxibustion: a cross-sectional survey. Evid Based Complement Alternat Med, 2021, 2021: 2672173.
12.	Bae K, Shin IS. Critical evaluation of reporting quality of network meta-analyses assessing the effectiveness of acupuncture. Complement Ther Clin Pract, 2021, 45: 101459.
13.	Wang Y, Chen N, Guo K, et al. Reporting and methodological quality of acupuncture network meta-analyses could be improved: an evidence mapping. J Clin Epidemiol, 2023, 153: 1-12.
14.	Moher D, Schulz KF, Simera I, et al. Guidance for developers of health research reporting guidelines. PLoS Med, 2010, 7(2): e1000217.
15.	王艳, 刘文迪, 徐子涵, 等. 针刺疗法研究证据报告规范的结构性分析. 中国循证医学杂志, 2023, 23(12): 1449-1456.
16.	薛敏, 马莎, 刘薇, 等. 基于德尔菲法的卫生监督效能评价指标体系权重研究—以上海卫生监督机构为例. 中国卫生监督杂志, 2014, 21(3): 212-218.
17.	Shang Z. Use of Delphi in health sciences research: a narrative review. Medicine (Baltimore), 2023, 102(7): e32829.
18.	Jamieson S. Likert scale. 2020.
19.	黄迪. 临床路径报告量表的制定. 兰州: 兰州大学, 2016.
20.	李慧珍, 宗星煜, 王晶亚, 等. 基于改良德尔菲法与优序图法的中医药团体标准评价指标体系构建. 中国中医基础医学杂志, 2023, 29(5): 775-780.
21.	何怡瀚, 许能贵, 张海波, 等. 针刺治疗癌痛选穴研究: 基于现有证据和德尔菲法. 中国针灸, 2021, 41(10): 1161-1165.
22.	陈希, 蔡名敏, 陈红, 等. 基于德尔菲法的临床试验质量控制协同度评价指标构建. 中国新药与临床杂志, 2023, 42(2): 123-127.
23.	李晓彦, 张茜, 蒋璐, 等. 基于德尔菲法的中医药临床试验知情同意质量评价问卷的条目筛选. 中药新药与临床药理, 2023, 34(3): 428-432.
24.	Li X, Dai Q, Shi Z, et al. Clinical efficacy and safety of electroacupuncture in migraine treatment: a systematic review and network meta-analysis. Am J Chin Med, 2019, 47(8): 1755-1780.
25.	Dai L, Cheng CW, Tian R, et al. Standard protocol items for clinical trials with traditional Chinese medicine 2018: recommendations, explanation and elaboration (SPIRIT-TCM Extension 2018). Chin J Integr Med, 2019, 25(1): 71-79.
26.	鲍春龄, 东红升, 周亮, 等. 东氏针灸治疗中风瘫痪上海方案专家共识. 上海中医药杂志, 2024, 58(S1): 62-64.
27.	刘巍, 杜宇征, 孟祥刚, 等. 石学敏院士治疗高血压病捻转补泻手法浅析. 中国针灸, 2021, 41(10): 1135-1139.
28.	朱路文, 高维滨, 陈秋欣, 等. 中风后吞咽障碍颈项部针刺技术操作规范—中国康复医学会针灸技术与康复专业委员会. 康复学报, 2025.
29.	Watt J, Tricco AC, Straus S, et al. Research techniques made simple: network meta-analysis. J Invest Dermatol, 2019, 139(1): 4-12.
30.	Ades AE, Welton NJ, Dias S, et al. Twenty years of network meta-analysis: continuing controversies and recent developments. Res Synth Methods, 2024, 15(5): 702-727.
31.	Guyatt GH, Oxman AD, Kunz R, et al. GRADE guidelines: 7. Rating the quality of evidence--inconsistency. J Clin Epidemiol, 2011, 64(12): 1294-1302.
32.	Guyatt GH, Oxman AD, Vist GE, et al. GRADE: an emerging consensus on rating quality of evidence and strength of recommendations. BMJ, 2008, 336(7650): 924-926.
33.	Izcovich A, Chu DK, Mustafa RA, et al. A guide and pragmatic considerations for applying GRADE to network meta-analysis. BMJ, 2023, 381: e074495.
34.	杨欣雨, 李旭豪, 王兴鑫, 等. “针感”与临床针刺疗效的关系及其影响因素. 世界中医药, 2024, 19(11): 1664-1666, 1673.
35.	Infante-Rivard C, Cusson A. Reflection on modern methods: selection bias-a review of recent developments. Int J Epidemiol, 2018, 47(5): 1714-1722.
36.	He Y, Guo X, May BH, et al. Clinical evidence for association of acupuncture and acupressure with improved cancer pain: a systematic review and meta-analysis. JAMA Oncol, 2020, 6(2): 271-278.
37.	Liu S, Wang Z, Su Y, et al. A neuroanatomical basis for electroacupuncture to drive the vagal-adrenal axis. Nature, 2021, 598(7882): 641-645.

1. World Health Organization. WHO global report on traditional and complementary medicine 2019. 2019.
2. Allen J, Mak SS, Begashaw M, et al. Use of acupuncture for adult health conditions, 2013 to 2021: a systematic review. JAMA Netw Open, 2022, 5(11): e2243665.
3. MacPherson H, Vickers A, Bland M, et al. Acupuncture for chronic pain and depression in primary care: a programme of research. Southampton (UK): NIHR Journals Library, 2017.
4. National Center for Complementary And Alternative Medicine. Acupuncture: in depth. 2014.
5. 中共中央国务院关于促进中医药传承创新发展的意见. 中华人民共和国国务院公报, 2019, (31): 6-10.
6. 国家中医药管理局. 中医药标准化行动计划(2024—2026年). 2024.
7. Ifrim Chen F, Antochi AD, Barbilian AG. Acupuncture and the retrospect of its modern research. Rom J Morphol Embryol, 2019, 60(2): 411-418.
8. 陈璐, 范林鹃, 焦琮舒, 等. 近五年针灸治疗纤维肌痛综合征的作用机制研究进展. 中医药临床杂志, 2024, 36(3): 583-587.
9. 王艳, 王子怡, 徐子涵, 等. 针刺疗法网状Meta分析报告规范关键问题研究. 中国循证医学杂志, 2023, 23(12): 1442-1448.
10. Wang X, Chen Y, Liu Y, et al. Reporting items for systematic reviews and meta-analyses of acupuncture: the PRISMA for acupuncture checklist. BMC Complement Altern Med, 2019, 19(1): 208.
11. Yuan T, Xiong J, Wang X, et al. The quality of methodological and reporting in network meta-analysis of acupuncture and moxibustion: a cross-sectional survey. Evid Based Complement Alternat Med, 2021, 2021: 2672173.
12. Bae K, Shin IS. Critical evaluation of reporting quality of network meta-analyses assessing the effectiveness of acupuncture. Complement Ther Clin Pract, 2021, 45: 101459.
13. Wang Y, Chen N, Guo K, et al. Reporting and methodological quality of acupuncture network meta-analyses could be improved: an evidence mapping. J Clin Epidemiol, 2023, 153: 1-12.
14. Moher D, Schulz KF, Simera I, et al. Guidance for developers of health research reporting guidelines. PLoS Med, 2010, 7(2): e1000217.
15. 王艳, 刘文迪, 徐子涵, 等. 针刺疗法研究证据报告规范的结构性分析. 中国循证医学杂志, 2023, 23(12): 1449-1456.
16. 薛敏, 马莎, 刘薇, 等. 基于德尔菲法的卫生监督效能评价指标体系权重研究—以上海卫生监督机构为例. 中国卫生监督杂志, 2014, 21(3): 212-218.
17. Shang Z. Use of Delphi in health sciences research: a narrative review. Medicine (Baltimore), 2023, 102(7): e32829.
18. Jamieson S. Likert scale. 2020.
19. 黄迪. 临床路径报告量表的制定. 兰州: 兰州大学, 2016.
20. 李慧珍, 宗星煜, 王晶亚, 等. 基于改良德尔菲法与优序图法的中医药团体标准评价指标体系构建. 中国中医基础医学杂志, 2023, 29(5): 775-780.
21. 何怡瀚, 许能贵, 张海波, 等. 针刺治疗癌痛选穴研究: 基于现有证据和德尔菲法. 中国针灸, 2021, 41(10): 1161-1165.
22. 陈希, 蔡名敏, 陈红, 等. 基于德尔菲法的临床试验质量控制协同度评价指标构建. 中国新药与临床杂志, 2023, 42(2): 123-127.
23. 李晓彦, 张茜, 蒋璐, 等. 基于德尔菲法的中医药临床试验知情同意质量评价问卷的条目筛选. 中药新药与临床药理, 2023, 34(3): 428-432.
24. Li X, Dai Q, Shi Z, et al. Clinical efficacy and safety of electroacupuncture in migraine treatment: a systematic review and network meta-analysis. Am J Chin Med, 2019, 47(8): 1755-1780.
25. Dai L, Cheng CW, Tian R, et al. Standard protocol items for clinical trials with traditional Chinese medicine 2018: recommendations, explanation and elaboration (SPIRIT-TCM Extension 2018). Chin J Integr Med, 2019, 25(1): 71-79.
26. 鲍春龄, 东红升, 周亮, 等. 东氏针灸治疗中风瘫痪上海方案专家共识. 上海中医药杂志, 2024, 58(S1): 62-64.
27. 刘巍, 杜宇征, 孟祥刚, 等. 石学敏院士治疗高血压病捻转补泻手法浅析. 中国针灸, 2021, 41(10): 1135-1139.
28. 朱路文, 高维滨, 陈秋欣, 等. 中风后吞咽障碍颈项部针刺技术操作规范—中国康复医学会针灸技术与康复专业委员会. 康复学报, 2025.
29. Watt J, Tricco AC, Straus S, et al. Research techniques made simple: network meta-analysis. J Invest Dermatol, 2019, 139(1): 4-12.
30. Ades AE, Welton NJ, Dias S, et al. Twenty years of network meta-analysis: continuing controversies and recent developments. Res Synth Methods, 2024, 15(5): 702-727.
31. Guyatt GH, Oxman AD, Kunz R, et al. GRADE guidelines: 7. Rating the quality of evidence--inconsistency. J Clin Epidemiol, 2011, 64(12): 1294-1302.
32. Guyatt GH, Oxman AD, Vist GE, et al. GRADE: an emerging consensus on rating quality of evidence and strength of recommendations. BMJ, 2008, 336(7650): 924-926.
33. Izcovich A, Chu DK, Mustafa RA, et al. A guide and pragmatic considerations for applying GRADE to network meta-analysis. BMJ, 2023, 381: e074495.
34. 杨欣雨, 李旭豪, 王兴鑫, 等. “针感”与临床针刺疗效的关系及其影响因素. 世界中医药, 2024, 19(11): 1664-1666, 1673.
35. Infante-Rivard C, Cusson A. Reflection on modern methods: selection bias-a review of recent developments. Int J Epidemiol, 2018, 47(5): 1714-1722.
36. He Y, Guo X, May BH, et al. Clinical evidence for association of acupuncture and acupressure with improved cancer pain: a systematic review and meta-analysis. JAMA Oncol, 2020, 6(2): 271-278.
37. Liu S, Wang Z, Su Y, et al. A neuroanatomical basis for electroacupuncture to drive the vagal-adrenal axis. Nature, 2021, 598(7882): 641-645.

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Latest ArticlesPreferred reporting items for network meta-analysis of acupuncture-related therapies: the PRINMA-A statement

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