Multi-evidence Integration Methodology for Traditional Chinese Medicine: the MERGE Framework

LAI Honghao; WANG Zhe; LI Ying; TANG Wenjing; WANG Beibei; SUN Peidong; SUN Mingyao; HUANG Jiajie; XIAO Zhipan; LI Ying; ZHAO Chen; SHANG Hongcai; YANG Kehu; LIU Jie; GE Long

doi:10.12290/xhyxzz.2023-0083

Volume 15 Issue 1

Jan. 2024

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Medical Journal of Peking Union Medical College Hospital > 2024 > 15(1): 172-182. > DOI: 10.12290/xhyxzz.2023-0083

LAI Honghao, WANG Zhe, LI Ying, TANG Wenjing, WANG Beibei, SUN Peidong, SUN Mingyao, HUANG Jiajie, XIAO Zhipan, LI Ying, ZHAO Chen, SHANG Hongcai, YANG Kehu, LIU Jie, GE Long. Multi-evidence Integration Methodology for Traditional Chinese Medicine: the MERGE Framework[J]. Medical Journal of Peking Union Medical College Hospital, 2024, 15(1): 172-182. DOI: 10.12290/xhyxzz.2023-0083

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Multi-evidence Integration Methodology for Traditional Chinese Medicine: the MERGE Framework

LAI Honghao^{1, 2},
WANG Zhe³,
LI Ying²,
TANG Wenjing²,
WANG Beibei²,
SUN Peidong²,
SUN Mingyao³,
HUANG Jiajie⁴,
XIAO Zhipan⁵,
LI Ying^{1, 2},
ZHAO Chen⁶,
SHANG Hongcai⁷,
YANG Kehu^{8, 9, 10},
LIU Jie^{11, 12, ,},
GE Long^{1, 2, 9, 10, ,}

1.
Evidence-based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou 730000, China
2.
Department of Social Science and Health Management, School of Public Health, Lanzhou University, Lanzhou 730000, China
3.
Evidence-based Nursing Center, School of Nursing, Lanzhou University, Lanzhou 730000, China
4.
College of Nursing, Gansu University of Chinese Medicine, Lanzhou 730030, China
5.
School of Traditional Chinese and Western Medicine, Gansu University of Chinese Medicine, Lanzhou 730030, China
6.
Institute of Basic Research In Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China
7.
Key Laboratory of Chinese Internal Medicine of Ministry of Education, Beijing Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 100700, China
8.
Evidence-based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, China
9.
Collaborative Innovation Center for Evidence-based Traditional Chinese Medicine in Gansu Province, Lanzhou 730000, China
10.
Key Laboratory of Evidence-based Medicine and Knowledge Translation of Gansu Province, Lanzhou 730000, China
11.
Department of Oncology, Guang'anmen Hospital, Chinese Academy of Traditional Chinese Medicine, Beijing 100053, China
12.
China Center for Evidence-based Traditional Chinese Medicine, Beijing 100700, China

Funds:

National Natural Science Foundation of China 82204931

China Academy of Chinese Medical Sciences Innovation Fund CI2021A05502

More Information

Corresponding author:
LIU Jie, E-mail: dr.liujie@163.com

GE Long, E-mail: gelong2009@163.com
Received Date: February 14, 2023
Accepted Date: March 21, 2023
Available Online: April 17, 2023
Issue Publish Date: January 29, 2024

Graphical Abstract

Abstract

Abstract

In the era of evidence-based medicine, it is necessary to explore the unique advantages of traditional Chinese medicine (TCM) based on standardized technical methods and operating procedures in order to achieve the modernization and internationalization of TCM and benefit all humanity. The proposal of a three-pronged evidence system combining TCM theory, human experience and experimental evidence marks an important progress in the thinking method of the TCM evaluation system. The multi-evidence body integrated through appropriate methods provides a strong support for the clinical guideline recommendations and evidence-based health decision-making in TCM. Based on the current methodological progress of international evidence synthesis and grading, this paper proposes a novel approach for integrating multi-evidence in TCM: the MERGE framework. The aim is to establish a solid foundation for the development of this methodology and provide guidance for the advancement of evidence-based medicine framework in TCM.
- evidence-based medicine,
- traditional Chinese medicine,
- multi-evidence,
- evidence integration,
- MERGE framework

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References (61)

References

[1]	喻佳洁, 李琰, 陈雯雯, 等. 循证医学的产生与发展: 社会需求、学科发展和人文反思共同推动[J]. 中国循证医学杂志, 2019, 19(1): 108-113. Yu J J, Li Y, Chen W W, et al. The emergence and development of evidence-based medicine: social needs, disciplin-ary development and humanistic reflection[J]. Chin J Evid Based Med, 2019, 19(1): 108-113.
[2]	Tian G H, Zhao C, Zhang X Y, et al. Evidence-based traditional Chinese medicine research: two decades of development, its impact, and breakthrough[J]. J Evid Based Med, 2021, 14(1): 65-74. DOI: 10.1111/jebm.12420
[3]	国务院. 国务院关于印发中医药发展战略规划纲要(2016—2030年) 的通知[J]. 中华人民共和国国务院公报, 2016(8): 21-29. State Council. Notice of the state council on issuing the outline of the strategic plan for the development of traditional Chinese medicine (2016—2030)[J]. Zhonghua Renmin Gongheguo Guowuyuan Gongbao, 2016(8): 21-29.
[4]	余艳红. 在中国中医药循证医学中心成立仪式上的讲话[J]. 中国中西医结合杂志, 2019, 39(4): 389. Yu Y H. Speech at opening ceremony of the Traditional Chinese Medicine Evidence-based Medical Center[J]. Chin J Integr Tradit West Med, 2019, 39(4): 389.
[5]	邢冬梅, 刘新灿, 张俊华, 等. 循证中医药学进展[J]. 中华中医药杂志, 2022, 37(6): 3319-3323. Xing D M, Liu X C, Zhang J H, et al. Progress of evidence based traditional Chinese medicine[J]. Chin J TCM Pharm, 2022, 37(6): 3319-3323.
[6]	Chen Y L, Wang C, Shang H C, et al. Clinical practice guidelines in China[J]. BMJ, 2018, 360: j5158.
[7]	中国共产党中央委员会, 中华人民共和国国务院. 中共中央国务院关于促进中医药传承创新发展的意见[EB/OL]. (2019-10-26)[2023-02-10]. http://www.gov.cn/zhengce/2019-10/26/content_5445336.htm. Central Committee of the CPC, State Council of the PRC. Opinions of the Central Committee of the Communist Party of China and the State Council on promoting the inheritance, innovation and development of traditional Chinese medicine[EB/OL]. (2019-10-26)[2023-02-10]. http://www.gov.cn/zhengce/2019-10/26/content_5445336.htm.
[8]	Guyatt G H, Rennie D. Users' guides to the medical literature: a manual for evidence-based clinical practice[M]. Chicago: American Medical Association, 2002.
[9]	张越伦, 吴东, 李乃适, 等. 试论循证医学的哲学基础[J]. 协和医学杂志, 2021, 12(3): 401-406. DOI: 10.12290/xhyxzz.2021-0266 Zhang Y L, Wu D, Li N S, et al. Philosophical basis of evidence-based medicine[J]. Med J PUMCH, 2021, 12(3): 401-406. DOI: 10.12290/xhyxzz.2021-0266
[10]	Toon P. What is evidence?[J]. London J Prim Care (Abingdon), 2014, 6(5): 95-97. DOI: 10.1080/17571472.2014.11493425
[11]	Mowat R, Subramanian S V, Kawachi I. Randomized controlled trials and evidence-based policy: a multidisciplinary dialogue[J]. Soc Sci Med, 2018, 210: 1. DOI: 10.1016/j.socscimed.2018.05.003
[12]	Sun X, Tan J, Tang L, et al. Real world evidence: experience and lessons from China[J]. BMJ, 2018, 361: j5262.
[13]	Gokhale M, Stürmer T, Buse J B. Real-world evidence: the devil is in the detail[J]. Diabetologia, 2020, 63(9): 1694-1705. DOI: 10.1007/s00125-020-05217-1
[14]	Cuello-Garcia C A, Santesso N, Morgan R L, et al. GRADE guidance 24 optimizing the integration of randomized and non-randomized studies of interventions in evidence syntheses and health guidelines[J]. J Clin Epidemiol, 2022, 142: 200-208. DOI: 10.1016/j.jclinepi.2021.11.026
[15]	赖鸿皓, 田晨, 朱鸿飞, 等. 如何整合随机与非随机干预研究[J]. 中国循证医学杂志, 2022, 22(7): 836-841. Lai H H, Tian C, Zhu H F, et al. How to integrate randomized and non-randomized studies of interventions[J]. Chin J Evid Based Med, 2022, 22(7): 836-841.
[16]	陈曦, 张宇鹏, 于智敏, 等. 关于中医理论体系框架研究的若干思考[J]. 中国中医基础医学杂志, 2013, 19(1): 3-5. Chen X, Zhang Y P, Yu Z M, et al. Several thoughts on the framework research of traditional Chinese medicine theory system[J]. Chin J Basic Med TCM, 2013, 19(1): 3-5.
[17]	杨忠奇, 唐雅琴, 汤慧敏, 等. 试论中药人用经验资料收集、数据质量与证据形成[J]. 中国中药杂志, 2021, 46(7): 1681-1685. Yang Z Q, Tang Y Q, Tang H M, et al. Data collection, quality and evidence formation for human use experience of traditional Chinese medicine[J]. Chin J CMM, 2021, 46(7): 1681-1685.
[18]	李琰, 喻佳洁, 陈雯雯, 等. 循证医学的科学观和人文观[J]. 中国循证医学杂志, 2019, 19(1): 114-118. Li Y, Yu J J, Chen W W, et al. The view of science and humanism in evidence-based medicine[J]. Chin J Evid Based Med, 2019, 19(1): 114-118.
[19]	杨其霖, 田思胜, 马梅青. 中医药古籍文献数据库建设研究与思考[J]. 中国医药导报, 2018, 15(7): 119-122. Yang Q L, Tian S S, Ma M Q. Research and thinking on the construction of ancient literature database of traditional Chinese medicine[J]. Chin Med Her, 2018, 15(7): 119-122.
[20]	赵雪, 戴国华, 管慧, 等. 中医临床疗效评价指标的选择与应用[J]. 中华中医药杂志, 2022, 37(4): 1863-1867. Zhao X, Dai G H, Guan H, et al. Selection and application of clinical efficacy evaluation indexes of traditional Chinese medicine[J]. Chin J TCM Pharm, 2022, 37(4): 1863-1867.
[21]	Guyatt G H, Oxman A D, Kunz R, et al. What is "quality of evidence" and why is it important to clinicians?[J]. BMJ, 2008, 336(7651): 995-998. DOI: 10.1136/bmj.39490.551019.BE
[22]	Guyatt G, Oxman A D, Akl E A, et al. GRADE guidelines: 1. Introduction-GRADE evidence profiles and summary of findings tables[J]. J Clin Epidemiol, 2011, 64(4): 383-394. DOI: 10.1016/j.jclinepi.2010.04.026
[23]	龙德怀, 尚菊菊, 刘红旭, 等. 中医药随机对照试验质量评价文献再评价[J]. 中华中医药杂志, 2022, 37(9): 5318-5322. Long D H, Shang J J, Liu H X, et al. Re-evaluation of quality evaluation literature of randomized controlled trials of traditional Chinese medicine[J]. Chin J TCM Pharm, 2022, 37(9): 5318-5322.
[24]	郑玉娇, 逄冰, 刘文科, 等. 中医"治未病" 临床研究的现状及对策探析[J]. 环球中医药, 2018, 11(8): 1329-1332. DOI: 10.3969/j.issn.1674-1749.2018.08.047 Zheng Y J, Pang B, Liu W K, et al. Current situation and development strategies of clinical studies on disease prevention theory in traditional Chinese medicine[J]. Glob TCM, 2018, 11(8): 1329-1332. DOI: 10.3969/j.issn.1674-1749.2018.08.047
[25]	陆玉林, 骆文, 陆丽明. 开展真实世界中医药临床研究的机遇与挑战[J]. 中华中医药杂志, 2021, 36(8): 4443-4446. Lu Y L, Luo W, Lu L M. Opportunities and challenges of carrying out real-world study in the field of traditional Chinese medicine[J]. Chin J TCM Pharm, 2021, 36(8): 4443-4446.
[26]	Sherman R E, Anderson S A, Dal Pan G J, et al. Real-world evidence-What is it and what can it tell us?[J]. N Engl J Med, 2016, 375(23): 2293-2297. DOI: 10.1056/NEJMsb1609216
[27]	Jarow J P, LaVange L, Woodcock J. Multidimensional evidence generation and FDA regulatory decision making: defining and using "real-world" data[J]. JAMA, 2017, 318(8): 703-704. DOI: 10.1001/jama.2017.9991
[28]	Schünemann H J, Cuello C, Akl E A, et al. GRADE guidelines: 18. How ROBINS-I and other tools to assess risk of bias in nonrandomized studies should be used to rate the certainty of a body of evidence[J]. J Clin Epidemiol, 2019, 111: 105-114. DOI: 10.1016/j.jclinepi.2018.01.012
[29]	Li L, Smith H E, Atun R, et al. Search strategies to identify observational studies in MEDLINE and Embase[J]. Cochrane Database Syst Rev, 2019, 3(3): MR000041.
[30]	王志稳, 冷敏敏, 孙月. 证据整合研究中文献检索策略的制订[J]. 中华护理教育, 2021, 18(10): 883-888. Wang Z W, Leng M M, Sun Y. Developing high-quality search strategy in evidence synthesis[J]. Chin J Nurs Educ, 2021, 18(10): 883-888.
[31]	Faber T, Ravaud P, Riveros C, et al. Meta-analyses including non-randomized studies of therapeutic interventions: a methodological review[J]. BMC Med Res Methodol, 2016, 16: 35. DOI: 10.1186/s12874-016-0136-0
[32]	Bilandzic A, Fitzpatrick T, Rosella L, et al. Risk of bias in systematic reviews of non-randomized studies of adverse cardiovascular effects of thiazolidinediones and cyclooxygenase-2 inhibitors: application of a new cochrane risk of bias tool[J]. PLoS Med, 2016, 13(4): e1001987. DOI: 10.1371/journal.pmed.1001987
[33]	Sanderson S, Tatt I D, Higgins J P T. Tools for assessing quality and susceptibility to bias in observational studies in epidemiology: a systematic review and annotated bibliogr-aphy[J]. Int J Epidemiol, 2007, 36(3): 666-676. DOI: 10.1093/ije/dym018
[34]	Deeks J J, Dinnes J, D'Amico R, et al. Evaluating nonran-domised intervention studies[J]. Health Technol Assess, 2003, 7(27): iii-x.
[35]	孙凤, 高乐, 杨智荣, 等. 偏倚风险评估系列: (五)非随机干预性研究[J]. 中华流行病学杂志, 2018, 39(3): 374-381. DOI: 10.3760/cma.j.issn.0254-6450.2018.03.024 Sun F, Gao L, Yang Z R, et al. Series of risk of bias assessment (5): risk of bias in non-randomized studies-of interventions (ROBINS-I)[J]. Chin J Epidemiol, 2018, 39(3): 374-381. DOI: 10.3760/cma.j.issn.0254-6450.2018.03.024
[36]	Dreier M, Borutta B, Stahmeyer J, et al. Comparison of tools for assessing the methodological quality of primary and secondary studies in health technology assessment reports in Germany[J]. GMS Health Technol Assess, 2010, 6: Doc07.
[37]	中华中医药学会《中医药真实世界研究技术规范》制订组. 中医药真实世界研究技术规范: 证据质量评价与报告[J]. 中医杂志, 2022, 63(3): 293-300. Technical Specifications Development Group for Real World Study in Traditional Chinese Medicine, China Association of Chinese Medicine. Technical specifications for real world study in traditional Chinese medicine: evidence quality evaluation and reporting[J]. J TCM, 2022, 63(3): 293-300.
[38]	刘建平. 传统医学证据体的构成及证据分级的建议[J]. 中国中西医结合杂志, 2007, 27(12): 1061-1065. Liu J P. The composition of evidence body of traditional medicine and recommendations for its evidence grading[J]. Chin J Integr Tradit West Med, 2007, 27(12): 1061-1065.
[39]	苏鹏丽, 刘骏, 于亚南, 等. 中医药证据体系及评价要素研究现状分析[J]. 中医杂志, 2022, 63(3): 288-292. Su P L, Liu J, Yu Y N, et al. Analysis of the current status of research on evidence system and evaluation elements of traditional Chinese medicine[J]. J TCM, 2022, 63(3): 288-292.
[40]	钱静华, 郭志丽. 构建适合中医药特征的临床证据评价体系[J]. 中华中医药杂志, 2018, 33(10): 4302-4304. Qian J H, Guo Z L. Construct a clinical evidence evaluation system suitable for the characteristics of TCM[J]. Chin J TCM Pharm, 2018, 33(10): 4302-4304.
[41]	金锐, 王宇光, 张冰. 试论完善传统中医药组方合理性评价技术在中药新药审评中的重要性[J]. 中药新药与临床药理, 2020, 31(9): 1117-1122. Jin R, Wang Y G, Zhang B. Improving evaluation technology for the rationality of Chinese medicine prescrip-tion in the new drug reviews of Chinese patent medicine[J]. Tradil Chin Drug Res Clinic Pharm, 2020, 31(9): 1117-1122.
[42]	刘迈兰, 吴曦, 任玉兰, 等. 借鉴循证医学实践方法研究中医古籍的思考[J]. 时珍国医国药, 2010, 21(3): 726-727. DOI: 10.3969/j.issn.1008-0805.2010.03.107 Liu M L, Wu X, Ren Y L, et al. Researches on ancient literatures of traditional Chinese medicine in view of methods of evidence based practice[J]. Shizhen Guoyi Guoyao, 2010, 21(3): 726-727. DOI: 10.3969/j.issn.1008-0805.2010.03.107
[43]	张磊, 佟琳, 曾宪涛, 等. 中医古籍证据循证评价标准研究现状[J]. 中国中医药图书情报杂志, 2021, 45(5): 66-69. Zhang L, Tong L, Zeng X T, et al. Research status of evidence-based evaluation standards of evidence in ancient TCM books[J]. Chin J Lib Inform Sci TCM, 2021, 45(5): 66-69.
[44]	陈薇, 方赛男, 刘建平. 基于证据体的中医药临床证据分级标准建议[J]. 中国中西医结合杂志, 2019, 39(3): 358-364. Chen W, Fang S N, Liu J P. Recommendations for clinical evidence grading on traditional Chinese medicine based on evidence body[J]. Chin J Integr Tradit West Med, 2019, 39(3): 358-364.
[45]	李承羽, 赵晨, 陈耀龙, 等. 中医药临床指南/共识中推荐意见分级标准的制订[J]. 中医杂志, 2020, 61(6): 486-492. Li C Y, Zhao C, Chen Y L, et al. Development of grading criteria on recommendations in clinical guidelines/consensus for traditional Chinese medicine[J]. J TCM, 2020, 61(6): 486-492.
[46]	Richards D A, Bazeley P, Borglin G, et al. Integrating quantitative and qualitative data and findings when undertaking randomised controlled trials[J]. BMJ Open, 2019, 9(11): e032081. DOI: 10.1136/bmjopen-2019-032081
[47]	Fetters M D, Curry L A, Creswell J W. Achieving integration in mixed methods designs-principles and practices[J]. Health Serv Res, 2013, 48(6 Pt 2): 2134-2156.
[48]	Lewin S, Booth A, Glenton C, et al. Applying GRADE-CERQual to qualitative evidence synthesis findings: introduction to the series[J]. Implement Sci, 2018, 13(Suppl 1): 2.
[49]	拜争刚, 刘少堃, 黄崇斐, 等. 定性系统评价证据分级工具: CERQual简介[J]. 中国循证医学杂志, 2015, 15(12): 1465-1470. DOI: 10.7507/1672-2531.20150238 Bai Z G, Liu S K, Huang C F, et al. An introduction of quality classification tool for qualitative evidence-CERQual[J]. Chin J Evid Based Med, 2015, 15(12): 1465-1470. DOI: 10.7507/1672-2531.20150238
[50]	中华中医药学会. 关于对中华中医药学会《中医药整体证据研究的标准化操作规程》拟发布团体标准项目公示的通知[EB/OL]. (2020-03-27)[2023-02-10]. http://www.cacm.org.cn/zhzyyxh/bzhsj/202003/84ca423a5f9c46e29d78509907b0b846.shtml. China Association of Chinese Medicine. Notice on the proposed publication of group standard items for the standar-dized operating procedures for the study of overall evidence of traditional Chinese medicine by the China Association of Chinese Medicine[EB/OL]. (2020-03-27)[2023-02-10]. http://www.cacm.org.cn/zhzyyxh/bzhsj/202003/84ca423a5f9c46e29d78509907b0b846.shtml.
[51]	王巍巍, 杨智荣, 孙凤, 等. 网状Meta分析GRADE证据总结表的制订、解读与应用[J]. 中国循证医学杂志, 2020, 20(12): 1471-1476. Wang W W, Yang Z R, Sun F, et al. Development, elaboration and application of GRADE summary of finding table for network Meta-analysis[J]. Chin J Evid Based Med, 2020, 20(12): 1471-1476.
[52]	秦微. 中医基础理论中信息思维文献检索探究[J]. 辽宁中医药大学学报, 2016, 18(5): 163-165. Qin W. Information theory literature search in basic theory of traditional Chinese medicine[J]. J Liaoning Univer of TCM, 2016, 18(5): 163-165.
[53]	高曼, 李海燕. 中医药信息学应用研究热点[J]. 首都医科大学学报, 2022, 43(4): 592-599. Gao M, Li H Y. Application research hotspot of traditional Chinese medicine informatics[J]. J Capital Med Univer, 2022, 43(4): 592-599.
[54]	段逸山. 中医典籍词语索引的编制及其作用[J]. 中国索引, 2020(2): 3-14. Duan Y S. The compilation and function of word index in traditional Chinese medicine classics[J]. Zhongguo Suoyin, 2020(2): 3-14.
[55]	王莹莹, 白宇, 丁长林, 等. 面向语义检索的中医理论知识库构建方法的研究[J]. 中文信息学报, 2012, 26(5): 72-78. Wang Y Y, Bai Y, Ding C L, et al. Construction of TCM theoretical knowledge base for semantic retrieval[J]. J Chin Inform Process, 2012, 26(5): 72-78.
[56]	杨忠奇, 高蕊, 胡思源, 等. 中药人用经验研究专家共识[J]. 中国中药杂志, 2022, 47(18): 4829-4834. Yang Z Q, Gao R, Hu S Y, et al. Expert consensus on human use experience research of traditional Chinese medicine[J]. Chin J CMM, 2022, 47(18): 4829-4834.
[57]	Davis K, Minckas N, Bond V, et al. Beyond interviews and focus groups: a framework for integrating innovative qualitative methods into randomised controlled trials of complex public health interventions[J]. Trials, 2019, 20(1): 329. DOI: 10.1186/s13063-019-3439-8
[58]	Djulbegovic B, Guyatt G H. Progress in evidence-based medicine: a quarter century on[J]. Lancet, 2017, 390(10092): 415-423. DOI: 10.1016/S0140-6736(16)31592-6
[59]	Miles A, Bentley P, Polychronis A, et al. Advancing the evidence-based healthcare debate[J]. J Eval Clin Pract, 1999, 5(2): 97-101. DOI: 10.1046/j.1365-2753.1999.00205.x
[60]	Miles A, Bentley P, Polychronis A, et al. Evidence-based medicine: why all the fuss? This is why[J]. J Eval Clin Pract, 1997, 3(2): 83-86. DOI: 10.1046/j.1365-2753.1997.00103.x
[61]	Greenhalgh T, Howick J, Maskrey N. Evidence based medicine: a movement in crisis?[J]. BMJ, 2014, 348: g3725. DOI: 10.1136/bmj.g3725

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Multi-evidence Integration Methodology for Traditional Chinese Medicine: the MERGE Framework

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Multi-evidence Integration Methodology for Traditional Chinese Medicine: the MERGE Framework

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