Classification of insomnia using traditional Chinese medicine diagnostic system : a systematic review

2009 ◽  
Author(s):  
Man-ki Poon
Keyword(s):  
Systematic Review ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Diagnostic System ◽  
System A

scholarly journals Classification of Insomnia Using the Traditional Chinese Medicine System: A Systematic Review

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Maggie Man-Ki Poon ◽  
Ka-Fai Chung ◽  
Wing-Fai Yeung ◽  
Verdi Hon-Kin Yau ◽  
Shi-Ping Zhang
Keyword(s):  
Systematic Review ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Diagnostic Purpose ◽  
Symptom Checklist ◽  
Yin Deficiency ◽  
System A ◽  
Qi Stagnation ◽  
Text Database

A systematic review was conducted to examine traditional Chinese medicine (TCM) patterns commonly diagnosed in subjects with insomnia and clinical features associated with the TCM patterns, and an insomnia symptom checklist for TCM diagnostic purpose was developed based on the review. Two independent researchers searched the China Academic Journals Full-Text Database and 10 English databases. A total of 103 studies and 9499 subjects were analyzed. There was a wide variation in terminology relating to symptomatology and TCM pattern. We identified 69 patterns, with the top 3 patterns (i.e.,deficiency of both the heart and spleen, hyperactivity of fire due to yin deficiency, and liver-qi stagnation transforming into fire) and the top 10 patterns covering 51.8% and 77.4% of the 9499 subjects, respectively. There were 19 sleep-related, 92 non-sleep-related, 14 tongue, and 7 pulse features included as diagnostic criteria of the top 10 TCM patterns for insomnia. Excessive dreaming, dizziness, red tongue, and fine pulse were the most common sleep-related, non-sleep-related, tongue, and pulse features. Overlapping symptomatology between the TCM patterns was present. A standardized symptom checklist consisted of 92 items, including 13 sleep-related, 61 non-sleep-related, 11 tongue, and 7 pulse items, holds promise as a diagnostic tool and merits further validation.

A Computer Method for Validating Traditional Chinese Medicine Herbal Prescriptions

2005 ◽  
Vol 33 (02) ◽  
pp. 281-297 ◽  
Author(s):  
J. F. Wang ◽  
C. Z. Cai ◽  
C. Y. Kong ◽  
Z. W. Cao ◽  
Y. Z. Chen
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Statistical Learning ◽  
Conventional Medicine ◽  
Computer Method ◽  
Support Vector ◽  
Random Combination ◽  
System A ◽  
Statistical Learning Method

Traditional Chinese medicine (TCM) has been widely practiced and is considered as an alternative to conventional medicine. TCM herbal prescriptions contain a mixture of herbs that collectively exert therapeutic actions and modulating effects. Traditionally defined herbal properties, related to the pharmacodynamic, pharmacokinetic and toxicological, as well as physicochemical properties of their principal ingredients, have been used as the basis for formulating TCM multi-herb prescriptions. These properties are used in this work to develop a computer program for predicting whether a multi-herb recipe is a valid TCM prescription. This program is based on a statistical learning method, support vector machine (SVM), and it is trained by using 575 well-known TCM prescriptions and 1961 non-TCM recipes generated by random combination of TCM herbs. Testing results by using 72 well-known TCM prescriptions and 5039 non-TCM recipes showed that 73.6% of the TCM prescriptions and 99.9% of non-TCM recipes are correctly classified by this system. A further test by using 48 TCM prescriptions published in recent years found that 68.7% of these are correctly classified. These accuracies are comparable to those of SVM classification of other biological systems. Our study indicates the potential of SVM for facilitating the analysis of TCM prescriptions.

scholarly journals Clinical Therapeutic Effects of Aspirin in Combination with Fufang Danshen Diwan, a Traditional Chinese Medicine Formula, on Coronary Heart Disease: A Systematic Review and Meta-Analysis

2016 ◽  
Vol 39 (5) ◽  
pp. 1955-1963 ◽  
Author(s):  
Jianchun Huang ◽  
Xiaojun Tang ◽  
Fangxing Ye ◽  
Junhui He ◽  
Xiaolong Kong
Keyword(s):  
Systematic Review ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Randomized Clinical Trials ◽  
Meta Analysis ◽  
Aspirin Therapy ◽  
Therapeutic Effects ◽  
Chinese Medicine Formula

Background/Aims: Coronary heart disease is characterized by vascular stenosis or occlusion resulting in myocardial ischemia, hypoxia and necrosis. In China, the combination of aspirin and Fufang Danshen Diwan (FDD), a traditional Chinese medicine formula, has been suggested in the treatment of coronary heart disease. There have been several studies comparing the effectiveness of aspirin alone and in combination with FDD to treat coronary artery disease; however, it remains unclear whether combined aspirin therapy is superior. This study was thus designed to clarify this issue through a systematic review and meta-analysis. Methods: Databases including PubMed, EMBASE, China National Knowledge Infrastructure (CNKI) database, Wanfang Data and VIP Information were searched. Papers were reviewed systematically by two researchers and analyzed using Cochrane software Revman 5.1. Results: Fourteen randomized controlled trials enrolling 1367 subjects were included. Meta-analyses revealed that aspirin in combination with FDD was significantly more effective at alleviating angina pectoris and improving electrocardiogram (ECG) results relative to aspirin therapy alone, reflected by the summary effects for the clinical markedly effective (OR = 2.45; 95% CI 1.95-3.08) and the total effective (OR = 3.92; 95% CI 2.87-5.36) rates. In addition, combined aspirin and FDD was significantly more efficacious than aspirin monotherapy at improving blood lipid levels, as indicated by the following outcomes: 1) reduction of TC level (SMD −1.12; 95% CI −1.49 to −0.76); 2) reduction of TG level (SMD −0.94; 95% CI −1.15 to -0.74); 3) reduction of LDL level (SMD -0.68; 95% CI -0.88 to -0.48); and 4) improvement of HDL level (SMD 0.52; 95% CI 0.04 to 0.99 ). No serious adverse events were reported in any of the included trials. Conclusion: The present meta-analysis demonstrated that aspirin in combination with FDD was more effective than aspirin alone for treating coronary heart disease. More full-scale randomized clinical trials with reliable designs are recommended to further evaluate the clinical benefits and long-term effectiveness of FDD for the treatment of coronary heart disease.

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