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X Demographics
Mendeley readers
| Title |
Effect of electroacupuncture on opioid consumption in patients with chronic musculoskeletal pain: protocol of a randomised controlled trial
|
|---|---|
| Published in |
Trials, September 2012
|
| DOI | 10.1186/1745-6215-13-169 |
| Pubmed ID | |
| Authors |
Charlie CL Xue, Robert D Helme, Stephen Gibson, Malcolm Hogg, Carolyn Arnold, Andrew A Somogyi, Cliff Da Costa, Yanyi Wang, Shao-chen Lu, Zhen Zheng |
| Abstract |
Chronic musculoskeletal pain is common and has been increasingly managed by opioid medications, of which the long-term efficacy is unknown. Furthermore, there is evidence that long-term use of opioids is associated with reduced pain control, declining physical function and quality of life, and could hinder the goals of integrated pain management. Electroacupuncture (EA) has been shown to be effective in reducing postoperative opioid consumption. Limited evidence suggests that acupuncture could assist patients with chronic pain to reduce their requirements for opioids.The proposed research aims to assess if EA is an effective adjunct therapy to standard pain and medication management in reducing opioids use by patients with chronic musculoskeletal pain. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 136 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 25 | 18% |
| Researcher | 18 | 13% |
| Student > Ph. D. Student | 16 | 12% |
| Student > Master | 13 | 10% |
| Student > Doctoral Student | 9 | 7% |
| Other | 16 | 12% |
| Unknown | 39 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 42 | 31% |
| Nursing and Health Professions | 16 | 12% |
| Psychology | 11 | 8% |
| Agricultural and Biological Sciences | 8 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 2% |
| Other | 15 | 11% |
| Unknown | 41 | 30% |