Chinese Journal of Integrative Medicine

, Volume 16, Issue 5, pp 466–471 | Cite as

Therapeutic evaluation on complex interventions of integrative medicine and the potential role of data mining

  • Yu Qiu (邱 禹)
  • Hao Xu (徐 浩)
  • Dong-yan Zhao (赵冬琰)
Review
First Online:
Received:

Abstract

It is a common view that the integration of Chinese medicine (CM) and modern Western medicine is an efficient way to facilitate the development of CM. Integrative medicine is a kind of complex interventions. Scientific therapeutic evaluation plays a crucial role in making integrative medicine universally acknowledged. However, the modern method of clinical study, which is based on the concept of evidence-based medicine, mostly focuses on the population characteristics and single interventional factor. As a result, it is difficult for this method to totally adapt to the clinical features of CM and integrative medicine as complex interventions. One possible way to solve this issue is to improve and integrate with the existing method and to utilize the evaluation model on complex interventions from abroad. As an interdisciplinary technique, data mining involves database technology, artificial intelligence, machine learning, statistics, neural network and some other latest technologies, and has been widely used in the field of CM. Therefore, the application of data mining in the therapeutic evaluation of integrative medicine has broad prospects.

Keywords

integrative medicine Chinese medicine complex intervention therapeutic evaluation data mining 
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References

  1. 1.
    Craig N, Dieppe P, Macintyre S, Michie S, Nazareth I, Petticrew M. Developing and evaluating complex interventions: the new Medical Research Council guidance. BMJ 2008;337:a1655.CrossRefPubMedGoogle Scholar
  2. 2.
    Rifkin A. Randomized controlled trials and psychotherapy research. Am J Psychiatry 2007;164:7–8.CrossRefPubMedGoogle Scholar
  3. 3.
    Hawe P, Shiell A, Riley T, Gold L. Methods for exploring implementation variation and local context within a cluster randomized community intervention trial. J Epidemiol Community Health 2004;58:788–793.CrossRefPubMedGoogle Scholar
  4. 4.
    Thomson H, Hoskins R, Petticrew M, Ogilvie D, Craig N, Quinn T, et al. Evaluating the health effects of social interventions. BMJ 2004;328:282–285.CrossRefPubMedGoogle Scholar
  5. 5.
    Bellg AJ, Borrelli B, Resnick B, Hecht J, Sharp Minicuchi D, Ory M, et al. Enhancing treatment fidelity in health behavior change studies: best practices and recommendations from the NIH Behavior Change Consortium. Health Psychol 2004;23:543–551.CrossRefGoogle Scholar
  6. 6.
    Leventhal H, Friedman MA. Does establishing fidelity of treatment help in understanding treatment efficacy? Comment on Bellg et al. (2004). Health Psychol 2004;23:452–456.CrossRefPubMedGoogle Scholar
  7. 7.
    Breslow NE, Day NE. Statistical methods in cancer research. Volume I — The analysis of case-control studies. IARC Sci Pub 1980;32:5–388.Google Scholar
  8. 8.
    Breslow NE, Day NE. Statistical methods in cancer research. Volume II — The design and analysis of Cohort studies. IARC Sci Publ 1987;82:1–406.Google Scholar
  9. 9.
    Xu H, Chen KJ. Integrative medicine: the experience from China. J Altern Complement Med 2008;14:3–7.CrossRefPubMedGoogle Scholar
  10. 10.
    Zhi YJ, Xie YM, Weng WL, Wang YY. Modeling of traditional Chinese medicine clinical complex intervention evaluation. World Sci and Technol: Modernization Tradit Chin Med (Chin) 2007;9(6):25–30.Google Scholar
  11. 11.
    Xie YM, Zhi YG, Wang YY. The initiatory method in evaluation of clinical of Chinese traditional medicine-the use of complex intervention. J Traditl Chin Med (Chin) 2008;49:395–397.Google Scholar
  12. 12.
    Liang MX, Wang XY. Some problems of understanding to be necessarily resolved in study of index and methods of assessment of traditional Chinese medicine curative effects. World Sci Technol: Modernization Tradit Chin Med (Chin) 2006;8:31–35.Google Scholar
  13. 13.
    Liu BY. Thoughts on some problems about evaluation of treatment based on syndrome differentiation. J Tradit Chin Med (Chin) 2007;48:12–14.Google Scholar
  14. 14.
    Yin J, Zhang HJ, Ye JP. Traditional Chinese medicine in treatment of metabolic syndrome. Endocr Metab Immune Disord Drug Targets 2008;8:99–111.CrossRefPubMedGoogle Scholar
  15. 15.
    Campbell M, Fitzpatrick R, Haines A, Kinmonth AL, Sandercock P, Spiegelhalter D, et al. Framework for design and evaluation of complex interventions to improve health. BMJ 2000;321(7262):694–696.CrossRefPubMedGoogle Scholar
  16. 16.
    Thompson TD, Weiss M. Homeopathy-what are the active ingredients? An exploratory study using the UK Medical Research Council’s framework for the evaluation of complex interventions. BMC Complement Altern Med 2006;6:37.CrossRefPubMedGoogle Scholar
  17. 17.
    Yan J, Engle VF, He Y, Jiao Y, Gu W. Study designs of randomized controlled trials not based on Chinese medicine theory are improper. Chin Med 2009;4;3.CrossRefPubMedGoogle Scholar
  18. 18.
    Zhang YH, Liang WX, Zhu L. Comparison of pragmatic clinical trials and explanatory clinical trials. Chin J Integr Tradit West Med (Chin) 2009; 29:161–164.Google Scholar
  19. 19.
    Li H, Liu LT, Zhao WM, Liu JG, Yao MJ, Han YX, et al. Effect of traditional and integrative regimens on quality of life and early renal impairment in elderly patients with isolated systolic hypertension. Chin J Integr Med 2010;16:216–221.CrossRefPubMedGoogle Scholar
  20. 20.
    Fonnebo V, Grimsgaard S, Walach H, Ritenbaugh C, Norheim AJ, MacPherson H, et al. Researching complementary and alternative treatments—the gatekeepers are not at home. BMC Med Res Methodol 2007;7:7.CrossRefPubMedGoogle Scholar
  21. 21.
    Mao J, Hou Y, Shang H, Wang H, Wang X, Zhao Y, et al. Study on the evaluation of the clinical effects of traditional Chinese medicine in heart failure by complex intervention: protocol of SECETCM-HF. Trials 2009;10:122.CrossRefPubMedGoogle Scholar
  22. 22.
    Fang JQ, Liu FB, Hou ZK. Parallel subgroup design of a randomized controlled clinical trial—comparing the approaches of Chinese medicine and Western medicine. Chin J Integr Med 2010;16:394–398.CrossRefGoogle Scholar
  23. 23.
    GRACE Investigators. Rationale and design of the GRACE (Global Registry of Acute Coronary Events) project: a multinational registry of patients hospitalized with acute coronary syndromes. Am Heart J 2001;141:190–199.CrossRefGoogle Scholar
  24. 24.
    Lasalvia A, Bonetto C, Cristofalo D, Tansella M, Ruggeri M. Predicting clinical and social outcome of patients attending real world mental health services: a 6-year multi-wave follow-up study. Acta Psychiatr Scand Suppl 2007;(437):16–30.Google Scholar
  25. 25.
    Magliano L, Fiorillo A, Malangone C, Rosa CD, Maj M. Patient functioning and family burden in a controlled, realworld trial of family psychoeducation for schizophrenia. Psychiatr Serv 2006;57:1784–1791.CrossRefPubMedGoogle Scholar
  26. 26.
    Vidal JS, Lacombe JM, Dartigues JF, Pasquier F, Robert P, Tzourio C, et al. Memantine therapy for Alzheimer disease in real-world practice: an observational study in a large representative sample of French patients. Alzheimer Dis Assoc Disord 2008;22:125–130.CrossRefPubMedGoogle Scholar
  27. 27.
    Hu LS, Zheng SM, Wang W, Li YL. The design of stratified, polycentric and prospective cohort study to appraise the curative efficacy of treatment based on syndrome differentiation. China J Tradit Chin Med Pharm (Chin) 2008;23:146–148.Google Scholar
  28. 28.
    Liu JP. Qualitative research and evidence-based medicine. Chin J Integr Med (Chin) 2008;28(28):165–167.Google Scholar
  29. 29.
    Yu H, Liu JP. Qualitative method and its application status in healthcare. J Evidence-Based Med (Chin) 2008;8:292–296.Google Scholar
  30. 30.
    Kaptchuk TJ. Powerful placebo: the dark side of the randomized controlled trial. Lancet 1998;351(9117):1722–1725.CrossRefPubMedGoogle Scholar
  31. 31.
    Malterud K. The art and science of clinical knowledge: evidence beyond measures and numbers. Lancet 2001;358(9279):397–400.CrossRefGoogle Scholar
  32. 32.
    Liu JP. Evidence-based medicine approach and traditional Chinese medicine therapeutic evaluation. J Capital Med Univ (Chin) 2007;28:212–215.Google Scholar
  33. 33.
    Li ZG, Wang TF, Ren J, Du CF. The analysis of several methods of Data Mining in the research of traditional Chinese medicne. Acta Chin Med Pharm (Chin) 2008;36(2):29–32.Google Scholar
  34. 34.
    Fan JP, Li CH, Wu MQ, Liang JH, Hou LP. Study on application of Bayesian network in Chinese medicine diagnose. J Management Sci China (Chin) 2008;11(6):143–150.Google Scholar
  35. 35.
    Zhou M, Wang Y, Qiao YJ. The use of Data Mining in the initiatory study of the absent medicinal property prediction. Chin J Inform Tradit Chin Med (Chin) 2008;15(6):93–94.Google Scholar
  36. 36.
    Liu JP, Zhang KX, Yang J. The technology of Data Mining and the use in traditional Chinese medicine. J Liaoning Univ Tradit Chin Med (Chin) 2007;9(6):203–204.Google Scholar
  37. 37.
    Gao ZY, Xu H, Shi DZ, Shi ZX, Zhou XZ. The analysis of the prescription law about acute coronary syndrome based on the association rule. Liaoning J Tradit Chin Med (Chin) 2007;34:284–285.Google Scholar
  38. 38.
    Fan XS, Shang EX, Wang CJ, Sun SF, Li WL, Sun JW, et al. A Data-Mining approach to research of prescriptions of Chinese material medical. J Nanjing Tradit Chin Med Univ (Chin) 2008;24(6):379–382.Google Scholar
  39. 39.
    Shen YC, Yin J, Wang XY, Fu HY. Application of multivariate series data mining method on scientific evaluation of therapeutic effect of traditional Chinese medicine. Application Res Computers (Chin) 2009;26:2633–2639.Google Scholar
  40. 40.
    Shen YC, Wang XY, Fu HY, Li XY. The Study on assessment of traditional Chinese medicine clinical therapeutic effect on menopausal syndrome based on data mining. Chin J Health Statistics (Chin) 2008;25(4):387–390.Google Scholar
  41. 41.
    Yin Y, Zhang B, Zhao YH, Zhang XH, Zhang MW. Interactive Data Mining framework based on Chinese medicine therapeutic evaluation. Computer Engineering (Chin) 2008;34(23):34–36.Google Scholar
  42. 42.
    Gao ZY, Xu H, Chen KJ, Shi DZ, Li LZ, Zhou XZ. Efficacy evaluation of Shengmai Injection in treating coronary heart disease based on random walk model. J Chin Integr Med (Chin) 2008;6(9):902–906.CrossRefGoogle Scholar

Copyright information

© Chinese Association of the Integration of Traditional and Western Medicine and Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Yu Qiu (邱 禹)
    • 1
  • Hao Xu (徐 浩)
    • 2
  • Dong-yan Zhao (赵冬琰)
    • 1
  1. 1.Beijing University of Chinese MedicineBeijingChina
  2. 2.National Integrative Medicine Center for Cardiovascular DiseaseChina-Japan Friendship HospitalBeijingChina

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