Chronic atrophic gastritis TCM characteristics and regularity in the Diagnosis and Prescription.doc
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Chronic atrophic gastritis TCM characteristics and regularity in the Diagnosis and Prescription
Chronic atrophic gastritis TCM characteristics and regularity in the Diagnosis and Prescription
Of: Wang Ping, Tang Xudong, Bian Liqun, ZHANG Yin Qiang
[Keywords:] chronic atrophic gastritis, medicine, literature survey
Chronic atrophic gastritis (Chronic atrophic gastritis, CAG) is a clinical common disease, its incidence, etiology, complex, lingering potential refractory disease, symptomatic therapy is often effective conventional western medicine not satisfied. TCM treatment of the disease have certain characteristics and advantages. the author from the perspective of the literature CAG Syndrome Diagnosis and Prescription of regular features and were analyzed for clinical diagnosis and treatment reference.
1 Materials and Methods
1.1 Literature sources
The system retrieves 1994-2006 Chinese Biological Medicine Database of (CBM disc), a database of Chinese biomedical journals (CMCC), China Academic Journal Online (CNKI), Chongqing VIP (VIP), Articles and other Chinese databases to “chronic gastritis, atrophic, ““ gastric disease “,” precancerous state “plus” Chinese medicine “,” TDS “and other words, combined with” atrophic gastritis “,” Medicine Administration “,” Diagnosis and Treatment Experience, “ “Differential Diagnosis and Treatment,” “syndrome differentiation” and other free word retrieval. collection of CAG on the TCM treatment of clinical research experts and the name of the old Chinese digestive medicine TCM lessons learned, academic research and other literature, the literature collected required Syndrome type, the type of medication necessary.
1.2 Data processing and statistical analysis
Extract the relevant information into the literature, including the name of literature, published age syndrome factors, syndrome type and drug, the data after sorting, checking, the input SPSS11.5 software for statistical analysis. Using frequency analysis of statistical syndromes, syndrome elements and the overall frequency of drug use, using
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