SUN Xiling, JIANG Weiwei, LIU Zhuojun, et al. Analysis of Internal Logical Structure and Overlapping Multiple Variable Group Affecting the Clinical Effect of Chinese Medicine[J]. Journal of Traditional Chinese Medicine2017, 58(5): 366-369.
SUN Xiling, JIANG Weiwei, LIU Zhuojun, et al. Analysis of Internal Logical Structure and Overlapping Multiple Variable Group Affecting the Clinical Effect of Chinese Medicine[J]. Journal of Traditional Chinese Medicine2017, 58(5): 366-369.DOI: 10.13288/j.11-2166/r.2017.05.002.
The diagnosis and treatment process of Chinese medicine clinic is an organic whole. Before treatment
there is a process of drawing conclusion by treatment based on syndrome differentiation. After treatment
there is a process of carrying out the conclusion. Previous Chinese medicine effect evaluation is mainly embodied in changes of symptoms
signs and laboratory indexes after therapy
which reflects the external logical structure of clinical process
but lack of systematical understanding and detailed analysis on objective factors that may influence the conclusion accuracy of treatment based on syndrome differentiation
and lack of research on internal logical structure of clinical process. By analyzing the whole basic path of Chinese medicine clinical process
the authors summarize the internal factors influencing the conclusion accuracy of treatment based on syndrome differentiation: a multiple variable group contributed by 3 parts
i. efrom determining cause
focus and nature
to aiming at syndrome
symptom and disease
to in accordance with patient’s individuality
seasonal conditions and local conditions. There are 9 specific multi variable factors
which may reflect the internal logical structure of clinical process. Deep analysis of complex syndromes of clinical cases
finding out that multiple variable groups may come out and get overlapped at the same time and further research on the inner law of overlapping multi variable factor groups are significant ways to improve the level of treatment based on syndrome differentiation and clinical effect.