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변증(辨證) 관련 연구 최신 동향 -2015~2023년 국내 연구를 중심으로-

Trend of Study of Pattern Identification in Republic of Korea from 2015 to 2023

  • Sundong Lee (Haengpa Korean Medicine Clinic) ;
  • Yoochang Han (Department of Acupuncture, Mirae Nursing Hospital) ;
  • Bo-in Kwon (Department of Pathology, College of Korean Medicine, Sangji University) ;
  • Hae-chang Yoon (Department of Public Health, Graduate School, Kyungpook National University)
  • 투고 : 2024.05.24
  • 심사 : 2024.08.14
  • 발행 : 2024.08.31

초록

Objective : Pattern identification in Korean Medicine is a core value, leading to a quantitative and qualitative increase in related studies. This study aims to identify trends in newly published research and discuss pattern identification. Method : We reviewed studies from 2015 to 2023 using the Oriental Medicine Advanced Searching Integrated System provided by the Korea Institute of Oriental Medicine. The keywords used were: pattern identification, cold-heat, deficiency-excess, exterior-interior, yin-yang, phlegm-retained fluid, static blood, qi-blood, qi deficiency, blood deficiency, yin deficiency, yang deficiency, and four-constitution. Results : A total of 150 studies met the inclusion criteria. These comprised 84 observational studies, including case reports, 2 experimental studies, and 64 literature reviews. Most studies were published in the Korean Journal of Oriental Physiology and Pathology. On average, 17.1 studies were published annually, although the number of studies has decreased over the years. Network analysis revealed that the main keyword in titles was pattern identification (n=122), followed by study (n=68) and patients (n=34). Conclusion : These findings highlight trends in studies related to pattern identification, with a focus on its standardization. Considering the limitations of pattern identification, a shift towards a disease-centered approach is recommended.

키워드

과제정보

본 과제(결과물)는 2024년도 교육부의 재원으로 한국연구재단의 지원을 받아 수행된 지자체-대학 협력기반 사업의 결과입니다.(2022RIS-005)

참고문헌

  1. Doo HK. Fundamentals of oriental medicine. Seoul: Kyohaksa. 2002;546.
  2. Park YB, Kim TH. Diagnosis of patterns. Seoul: Sungbosa. 1995;566.
  3. Kim WH, Kim KJ. Formation and system of Korean medicine. Seoul: Joongmoon. 1990;280.
  4. Ko H. Study of Relationship between China BeunJungLonChi and DongEuiBoGam Beun JungLonChi. J Physiol Pathol Korean Med. 2004;18(1):16-21.
  5. He J, Chen WT. Analysis on advantages and deficiencies of patterns identification, Chinese Med Res, 2011;24(4):5-6.
  6. Sun X. Principles of Traditional Chinese Medicine Therapy. China: Sichuan Science Technology Press. 1990;1-6, 17-24, 35-36.
  7. Chen J. Review and Prospect of the Study of Traditional Chinese Medicine "Pattern". J Beijing University of Traditional Chinese Med. 1998;40-43.
  8. Yeo MK, Park KH, Jang ES, Lee YS. National Survey on Utilization of Pattern Identification among Korean Medicine Doctors. J Soc Prev Korean Med. 2015;19(3): 45-55.
  9. Statistics on medical practice. Health Insurance Review & Assessment Service Bigdata Open portal. https://opendata.hira.or.kr/op/opc/olapDiagBhvInfoTab4.do (accessed Aug 05 2024)
  10. Gi YJ, Shin SJ, Han WY, Kim HD, Han YC, Lee SD. Comparative Review of Treatment Based on Syndrome Differentiation and Treatment Based on Syndrome Differentiation from Disease : Emphasis on Hypertension and Headache. J Soc Prev Korean Med. 2017;21(1):9-17. https://doi.org/10.25153/spkom.2017.21.1.002
  11. Park JS, Song YK, Hwang EH, Chung WS, Park WH, Cha YY, Shin SW, Park TY, Jang BH, Kim HJ, Ko SG. Analysis of Development and Application of Pattern Identification System -Based on Oriental Obesity Pattern Identification-. J Oriental Rehab Med. 2014;24(2):107-114.
  12. National Development Institute of Korean Medicine. The 4th Comprehensive Plan for the Promotion and Development of Oriental Medicine 2021-2025. Ministry of Health and Welfare in Republic of Korea. 2021.
  13. Jin HJ, Lee JC, Jang ES. Research Trends of Pattern Identification of Korean Medicine Using the Network Analysis. J Korea Contents Assoc. 2014;14(12): 1037-1046. https://doi.org/10.5392/JKCA.2014.14.12.1037
  14. Lee SS. Network analysis method. 4th ed. Seoul: Nonhyung. 2016;370.
  15. Lee DJ, Yeon JH, Hwang IB, Lee SG. KKMA: A Tool for Utilizing Sejong Corpus based on Relational Database. J KIISE: Computing Practices and Letters. 2010;16(11):1046-1050.
  16. Yeo MK, Dong SO, Lee YS, Jang ES. Review on Reliability and Validity of Questionnaire of Pattern Identification in Traditional Chinese Medicine -Using China National Knowledge Infrastructure. J Physiol & Pathol Korean Med. 2015;29(3):246-255. https://doi.org/10.15188/kjopp.2015.06.29.3.246
  17. Jang ES, Kim YY, Lee EJ, Yoo HR, Jung IC. Review on the Development State and Utilization of Pattern Identification Questionnaire in Korean Medicine by U Code of Korean Classification of Disease. J Physiol & Pathol Korean Med. 2016; 30(2):124-130. https://doi.org/10.15188/kjopp.2016.04.30.2.124
  18. Ko CR, Ku NP, Seol SS. A Comparative Study on the Traditional Medicine Policies between Korea and China: Focused on the Second Korean Medicine Development Plan and the 12.5 Traditional Chinese Medicine Development Plan. J Korea Technol Innovation Soc. 2014;6:421-447.
  19. Park HI, Lee KH. A Literature Review on Pattern-identification of Shoulder Pain. The Acupuncture. 2015;32(2):147-167. https://doi.org/10.13045/acupunct.2015027
  20. Park SG, Noh HM, Hwang CY, Hong SH, Park MC, Jang HC, Kim HK. Classification of Atopic Dermatitis into Digestive and Respiratory Disorders on the Basis of a Literature Study. J Korean Med Ophthalmol Otolaryngol Dermatol. 2016;29(3):106-123. https://doi.org/10.6114/jkood.2016.29.3.106
  21. Jung SY, Hur HS, Jeong HR, Kim KM, Kim YK. Clinical Study on Relationship between Pattern Identifications for Stroke and the Second Derivative of Photoplethysmogram Waveform from Stroke Preventive Examination. J Physiol & Pathol Korean Med. 2015;29(3):230-239. https://doi.org/10.15188/kjopp.2015.06.29.3.230
  22. Ahn JH, Kim MH, Yun YH, Choi IH. Relationship between Nasal Endoscopy Index for Pattern Identification and Cold-heat Pattern Identification in Allergic Rhinitis Patients. J Korean Med Ophthalmol Otolaryngol Dermatol. 2015;28(4):1-11. https://doi.org/10.6114/jkood.2015.28.4.001
  23. Lee HJ, Lee BY, Yang SB, Lee HM, Cho SY, Kwon SW, Jung WS, Park SU, Ko CN, Park JM. Analysis the Characteristic of Heart Rate Variability Changes between Deficiency Pattern and Excess Pattern in Stroke Patients Admitted to the Hospital. Korean J Acupuncture. 2016;33(4):176-182. https://doi.org/10.14406/acu.2016.022
  24. Hwang JH, Ko DK. Literature Review of Clinical Studies for the Relationship between Ultrasonographic Examination and Syndrome Differentiation Classification in Chinese Medicine. J Physiol & Pathol Korean Med. 2018;32(4):217-225. https://doi.org/10.15188/kjopp.2018.08.32.4.217
  25. Ko WH, Ha NY, Ko SJ, Park JW, Kim JS. A Clinical Study on the Relationship between Pattern and Ryodoraku Test Identifications for Patients with Functional Dyspepsia. J Int Korean Med. 2019;40(3):369-389.
  26. Kim KH, Kim SG, Cha JY, Yoo HR, Kim JU. Prediction of Deficiency Pattern in Diabetic Patients Using Multi-frequency Bioimpedance Resistance. J Physiol & Pathol Korean Med. 2022;36(3):94-99. https://doi.org/10.15188/kjopp.2022.06.36.3.94
  27. Kim JH, Kim JY, Jeon YJ. Systematic Review of Korean Medicine-related Study on Diagnostic Tools and Pattern Identification registered of Dysmenorrhea in the Korean Journal. J Physiol & Pathol Korean Med. 2015;29(5):434-442. https://doi.org/10.15188/kjopp.2015.10.29.5.434
  28. Ko MS. A study on research trends of age-friendly using text network analysis: focusing on "The Korean Journal of Health Service Management" (2007-2018). Korean J Health Serv Manag. 2019;13(4):19-31. https://doi.org/10.12811/kshsm.2019.13.4.019
  29. Ellen L. Counter clockwise. Seoul: Uknowbooks. 2022;356.
  30. Arthur K. The illness narratives. Seoul: Saibook. 2022;476.
  31. National Clearinghouse for Korean Medicine. Korean Medicine Clinical Practice Guideline. https://nikom.or.kr/nckm/html.do?menu_idx=43 (accessed May 3 2024)
  32. Sung ADM, Heo S, Oh HH, Lee JJ, Park SJ, Lee SD. The Need for Evidence-Based Treatment and Standardization in Korean Medicine :Focusing on Consumer Opinions from the Ministry of Health and Welfare's Survey on Usage of Korean Medicine (2008, 2011, and 2014). J Soc Prev Korean Med. 2016;20(3):31-43.
  33. Kang YS, Kim H, Kim NI, Kim YJ, Kim JH, Kim TW, Lyu JA, Park HP, Song JC, Ahn SW, Eun SM, Lee BW, Jung JH, Jo HJ, Cha WS. Theories of Schools in Korean Medicine. Seoul: Daesungeuihaksa. 2023;656.
  34. Mo G. AI Scary Smart. Seoul: The Korea economic daily. 2023;392.
  35. Yuval NH. 21 Lessons for the 21th century. Seoul:Gimmyoungsa. 2018;560.
  36. David R. The Expectation Effect. Seoul: Kachibooks. 2023;422.
  37. Gi YJ, Shin SJ, Han WY, Kim HD, Han YC, Lee SD. Comparative Review of Treatment Based on Syndrome Differentiation and Treatment Based on Syndrome Differentiation from Disease - Emphasis on Hypertension and Headache -. J Soc Prev Korean Med. 2017;21(1):9-17. https://doi.org/10.25153/spkom.2017.21.1.002
  38. Ahn YO, Yoo GY, Park BJ, Kim DH, Bae JM. Epidemiology the principles and applications. Seoul: Seoul National University Press. 2006;348.
  39. Wang QC. Research direction for syndromes of traditional Chinese medicine: differentiating diseases from syndromes and differentiating syndromes from diseases. J Chinese Integr Med. 2006;4(3):221-224. https://doi.org/10.3736/jcim20060301
  40. Ma JZ, Yao NL. Combination of syndrome differentiation and disease differentiation. Chinese Archives of Traditional Chinese Med. 2015;30(32):93-95.