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Effects of acupuncture treatment on depression insomnia: a study protocol of a multicenter randomized controlled trial

Overview of attention for article published in Trials, January 2013
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Title
Effects of acupuncture treatment on depression insomnia: a study protocol of a multicenter randomized controlled trial
Published in
Trials, January 2013
DOI 10.1186/1745-6215-14-2
Pubmed ID
Authors

Yuan-Fang Chen, Jian-Hua Liu, Neng-Gui Xu, Zhao-Hui Liang, Zhen-Hua Xu, Shu-Jun Xu, Wen-Bin Fu

Abstract

More than 70% of patients with depression who see their doctors experience insomnia. Insomnia treatment is a very important link for depression treatment. Furthermore, antidepression treatment is also important for depression insomnia. In acupuncture, LU-7 (Lie Que) and KID-6 (Zhao Hai), which are two of the eight confluence points in meridian theory, are used as main points. An embedded needle technique is used, alternately, at two groups of points to consolidate the treatment effect. These two groups of points are BL-15 (Xin Shu) with BL-23 (Shen Shu) and BL-19 (Dan Shu) with N-HN-54 (An Mian). The effectiveness of these optimized acupuncture formulas is well proven in the practice by our senior acupuncturists in Guangdong Provincial Hospital of TCM. This study has been designed to examine whether this set of optimized clinical formulas is able to increase the clinical efficacy of depression insomnia treatment.

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Mendeley readers

The data shown below were compiled from readership statistics for 191 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
New Zealand 1 <1%
Unknown 189 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 96 50%
Student > Master 16 8%
Researcher 12 6%
Student > Ph. D. Student 12 6%
Student > Doctoral Student 8 4%
Other 20 10%
Unknown 27 14%
Readers by discipline Count As %
Medicine and Dentistry 86 45%
Nursing and Health Professions 33 17%
Agricultural and Biological Sciences 13 7%
Psychology 9 5%
Social Sciences 5 3%
Other 12 6%
Unknown 33 17%