Title |
Individual patient data meta-analysis of acupuncture for chronic pain: protocol of the Acupuncture Trialists' Collaboration
|
---|---|
Published in |
Trials, September 2010
|
DOI | 10.1186/1745-6215-11-90 |
Pubmed ID | |
Authors |
Andrew J Vickers, Angel M Cronin, Alexandra C Maschino, George Lewith, Hugh Macpherson, Norbert Victor, Karen J Sherman, Claudia Witt, Klaus Linde, the Acupuncture Trialists' Collaboration |
Abstract |
The purpose of clinical trials of acupuncture is to help clinicians and patients make decisions about treatment. Yet this is not straightforward: some trials report acupuncture to be superior to sham (placebo) acupuncture while others show evidence that acupuncture is superior to usual care but not sham, and still others conclude that acupuncture is no better than usual care. Meta-analyses of these trials tend to come to somewhat indeterminate conclusions. This appears to be because, until recently, acupuncture research was dominated by small trials of questionable quality. The Acupuncture Trialists' Collaboration, a group of trialists, statisticians and other researchers, was established to synthesize patient-level data from several recently published large, high-quality trials. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
New Zealand | 2 | 1% |
Norway | 1 | <1% |
Italy | 1 | <1% |
India | 1 | <1% |
Brazil | 1 | <1% |
Denmark | 1 | <1% |
United States | 1 | <1% |
Unknown | 178 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 25 | 13% |
Student > Master | 24 | 13% |
Student > Bachelor | 22 | 12% |
Student > Ph. D. Student | 15 | 8% |
Student > Doctoral Student | 12 | 6% |
Other | 57 | 31% |
Unknown | 31 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 88 | 47% |
Nursing and Health Professions | 19 | 10% |
Agricultural and Biological Sciences | 10 | 5% |
Social Sciences | 7 | 4% |
Psychology | 6 | 3% |
Other | 21 | 11% |
Unknown | 35 | 19% |