DocumentCode :
2590058
Title :
Literature measurement data analysis of acupuncture treatment for depression
Author :
Fan, Ling ; Fu, Wenbin ; Xu, Nenggui ; Liu, Jianhua ; Liang, Zhaohui ; Ou, Aihua
Author_Institution :
Dept. of Acupuncture &Moxibustion, Guangdong Provincial Hosp. of Traditional Chinese Med., Guangzhou, China
Volume :
4
fYear :
2011
fDate :
15-17 Oct. 2011
Firstpage :
1978
Lastpage :
1981
Abstract :
To do the trend analysis of the related clinical literature of acupuncture treatment of depression and to understand the current situation and develop trend of acupuncture treatment for depression. Methods: Use the method of evidence-based medicine to search the related literature of acupuncture treatment of depression published from 1989 to 2010 by hand and by using the computer among the 5 databases which includes Chinese Biomedical Literature Database. Use SPSS 18.0 statistical software for data processing, calculation of frequency number, frequency and composition ratio, and do the analysis with non-parametric Runs test. Results: The number of literature of acupuncture treatment for depression is increasing year by year, by doing the runs test Z = 4.15, P <;0.05, the difference was statistically significant. Conclusion: Acupuncture as a new therapy to treat depression in recent years has been paid more and more attention, but there are relatively few randomized controlled literature, rigorous clinical randomized controlled study is needed.
Keywords :
data analysis; database management systems; medical computing; patient treatment; Chinese Biomedical Literature Database; SPSS 18.0 statistical software; acupuncture treatment; composition ratio; data processing; depression; evidence-based medicine; frequency number calculation; frequency ratio; literature measurement data analysis; nonparametric Runs test; trend analysis; Databases; Diseases; Educational institutions; Hospitals; Statistical analysis; Systematics; acupuncture; depression; literature; measurement data;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2011 4th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9351-7
Type :
conf
DOI :
10.1109/BMEI.2011.6098664
Filename :
6098664
Link To Document :
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