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Acupuncture for menopausal vasomotor symptoms: study protocol for a randomised controlled trial

Overview of attention for article published in Trials, June 2014
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Title
Acupuncture for menopausal vasomotor symptoms: study protocol for a randomised controlled trial
Published in
Trials, June 2014
DOI 10.1186/1745-6215-15-224
Pubmed ID
Authors

Marie Pirotta, Carolyn Ee, Helena Teede, Patty Chondros, Simon French, Stephen Myers, Charlie Xue

Abstract

Hot flushes and night sweats (vasomotor symptoms) are common menopausal symptoms, often causing distress, sleep deprivation and reduced quality of life. Although hormone replacement therapy is an effective treatment, there are concerns about serious adverse events. Non-hormonal pharmacological therapies are less effective and can also cause adverse effects. Complementary therapies, including acupuncture, are commonly used for menopausal vasomotor symptoms. While the evidence for the effectiveness of acupuncture in treating vasomotor symptoms is inconclusive, acupuncture has a low risk of adverse effects, and two small studies suggest it may be more effective than non-insertive sham acupuncture. Our objective is to assess the efficacy of needle acupuncture in improving hot flush severity and frequency in menopausal women. Our current study design is informed by methods tested in a pilot study.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 212 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Australia 1 <1%
Unknown 210 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 64 30%
Student > Master 30 14%
Researcher 17 8%
Student > Postgraduate 12 6%
Student > Ph. D. Student 11 5%
Other 29 14%
Unknown 49 23%
Readers by discipline Count As %
Medicine and Dentistry 76 36%
Nursing and Health Professions 36 17%
Psychology 16 8%
Social Sciences 7 3%
Agricultural and Biological Sciences 6 3%
Other 16 8%
Unknown 55 26%