PMID- 35002950
OWN - NLM
STAT- MEDLINE
DCOM- 20220214
LR  - 20240405
IS  - 1664-2392 (Print)
IS  - 1664-2392 (Electronic)
IS  - 1664-2392 (Linking)
VI  - 12
DP  - 2021
TI  - Syndrome Differentiation and Treatment Regularity in Traditional Chinese Medicine 
      for Type 2 Diabetes: A Text Mining Analysis.
PG  - 728032
LID - 10.3389/fendo.2021.728032 [doi]
LID - 728032
AB  - OBJECTIVE: The goal of this study was to systematically summarize and categorize 
      the syndrome differentiation, medication rules, and acupoint therapy in the 
      domestic traditional Chinese medicine (TCM) literature on type 2 diabetes 
      mellitus (T2DM), such that guidelines and new insights can be provided for future 
      practitioners and researchers. METHODS: Taking randomized controlled trials 
      (RCTs) on the treatment of T2DM in TCM as the research theme, we searched for 
      full-text literature in three major clinical databases, including CNKI, Wan Fang, 
      and VIP, published between 1990 and 2020. We then conducted frequency statistics, 
      cluster analysis, association rules extraction, and topic modeling based on a 
      corpus of medical academic words extracted from 3,654 research articles. RESULTS: 
      The TCM syndrome types, subjective symptoms, objective indicators, Chinese herbal 
      medicine, acupuncture points, and TCM prescriptions for T2DM were compiled based 
      on invigorating the kidney and Qi, nourishing Yin, and strengthening the spleen. 
      Most TCM syndrome differentiation for T2DM was identified as "Zhongxiao" (the 
      lesion in the spleen and stomach) and "Xiaxiao" (the lesion in the kidney) 
      deficiency syndromes, and most medications and acupoint therapies were focused on 
      the "Spleen Channel" and "Kidney Channel." However, stagnation of liver Qi was 
      mentioned less when compared with other syndromes, which did not have symptomatic 
      medicines. CONCLUSION: This study provides an in-depth perspective for the TCM 
      syndrome differentiation, medication rules, and acupoint therapy for T2DM and 
      provides practitioners and researchers with valuable information about the 
      current status and frontier trends of TCM research on T2DM in terms of both 
      diagnosis and treatment.
CI  - Copyright (c) 2021 Dou, Xia, Zhang, Li, Zhang, Zhao, Huang, Sun, Wu, Han and Liu.
FAU - Dou, Zhili
AU  - Dou Z
AD  - School of Life and Science, Beijing University of Chinese Medicine, Beijing, 
      China.
FAU - Xia, Ye
AU  - Xia Y
AD  - School of Life and Science, Beijing University of Chinese Medicine, Beijing, 
      China.
FAU - Zhang, Jiawei
AU  - Zhang J
AD  - School of Life and Science, Beijing University of Chinese Medicine, Beijing, 
      China.
FAU - Li, Yizhen
AU  - Li Y
AD  - School of Life and Science, Beijing University of Chinese Medicine, Beijing, 
      China.
FAU - Zhang, Yunan
AU  - Zhang Y
AD  - School of Life and Science, Beijing University of Chinese Medicine, Beijing, 
      China.
FAU - Zhao, Lei
AU  - Zhao L
AD  - School of Life and Science, Beijing University of Chinese Medicine, Beijing, 
      China.
FAU - Huang, Zhe
AU  - Huang Z
AD  - School of Life and Science, Beijing University of Chinese Medicine, Beijing, 
      China.
FAU - Sun, Haonan
AU  - Sun H
AD  - School of Life and Science, Beijing University of Chinese Medicine, Beijing, 
      China.
FAU - Wu, Lin
AU  - Wu L
AD  - School of Life and Science, Beijing University of Chinese Medicine, Beijing, 
      China.
FAU - Han, Dongran
AU  - Han D
AD  - School of Life and Science, Beijing University of Chinese Medicine, Beijing, 
      China.
FAU - Liu, Yixing
AU  - Liu Y
AD  - School of Management, Beijing University of Chinese Medicine, Beijing, China.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
PT  - Review
DEP - 20211223
PL  - Switzerland
TA  - Front Endocrinol (Lausanne)
JT  - Frontiers in endocrinology
JID - 101555782
RN  - 0 (Drugs, Chinese Herbal)
SB  - IM
MH  - Acupuncture Points
MH  - Acupuncture Therapy/statistics & numerical data
MH  - China/epidemiology
MH  - Data Mining
MH  - Diabetes Mellitus, Type 2/diagnosis/drug therapy/epidemiology/*therapy
MH  - *Diagnosis, Differential
MH  - Drugs, Chinese Herbal/therapeutic use
MH  - Humans
MH  - Medicine, Chinese Traditional/*methods/statistics & numerical data
MH  - Practice Patterns, Physicians'/statistics & numerical data
MH  - Randomized Controlled Trials as Topic/statistics & numerical data
MH  - Syndrome
PMC - PMC8733618
OTO - NOTNLM
OT  - Chinese herbal medicine
OT  - acupoint therapy
OT  - text mining
OT  - traditional Chinese medicine syndromes
OT  - type 2 diabetes mellitus
COIS- The authors declare that the research was conducted in the absence of any 
      commercial or financial relationships that could be construed as a potential 
      conflict of interest.
EDAT- 2022/01/11 06:00
MHDA- 2022/02/15 06:00
PMCR- 2021/01/01
CRDT- 2022/01/10 09:10
PHST- 2021/06/20 00:00 [received]
PHST- 2021/12/01 00:00 [accepted]
PHST- 2022/01/10 09:10 [entrez]
PHST- 2022/01/11 06:00 [pubmed]
PHST- 2022/02/15 06:00 [medline]
PHST- 2021/01/01 00:00 [pmc-release]
AID - 10.3389/fendo.2021.728032 [doi]
PST - epublish
SO  - Front Endocrinol (Lausanne). 2021 Dec 23;12:728032. doi: 
      10.3389/fendo.2021.728032. eCollection 2021.