Acupuncture is often considered for the treatment of chronic pain, but its value remains controversial. The Acupuncture Trialists' Collaboration was established in 2006 to provide best evidence on the effects of acupuncture on chronic pain. The collaboration obtains individual patient level data from high quality randomized trials of acupuncture for chronic pain, standardizes the data in order to combine it in a single data set, and then conducts analyses t to address questions concerning both acupuncture effectiveness and acupuncture study design. NCCAM awarded the collaboration R21 funding in support of its work in 2008. The Acupuncture Trialists' Collaboration now consists of an international group of 31 physicians, clinical trialists, biostatisticians, practicing acupuncturists and other specialists including many of the most widely recognized names in acupuncture research. It has been extremely successful in obtaining raw data from trialists in the pain conditions under its remit: osteoarthritis, non- specific back and neck pain, chronic headache, and shoulder pain. Of the 31 trials that met the stringent eligibility criteria for inclusion in the collaboration data set, usable individual patient data have been obtained from 29 trials. Data from all 29 trials have been checked, relabeled and added to the collaboration database, which now includes nearly 18,000 randomized patients. The initial analyses of these data are complete. In particular, we found strong evidence that acupuncture is superior both to no acupuncture control and to sham acupuncture for each of the pain conditions included. We also found evidence that the effect size of acupuncture depended on the comparator, for example, there were smaller differences between true acupuncture and sham techniques involving needle penetration, than between true acupuncture and a non-penetrating sham device. The Acupuncture Trialists' Collaboration therefore has a proven track record of bringing high-impact acupuncture research to fruition. Here we propose to update our database of trials, and analyses thereof, with an additional 5 years of data. Continuation funding for the collaboration will also allow us to extend our analyses to comparisons of acupuncture with drug therapy and to address four additional questions pertaining to acupuncture: predictors of acupuncture benefit; the time course of acupuncture effects; whether there are acupuncture 'responders' that have exceptional improvements after acupuncture therapy; whether outcomes vary between practitioners.

Public Health Relevance

Both the assessment of the clinical value of acupuncture, and research design of acupuncture studies, depend critically on the careful synthesis of prior research data. We plan to combine raw data from all large, high-quality randomized trials of acupuncture for chronic pain into a single data set to enable individual patient data meta- analysis. This will allow us to address questions both about the effectiveness of acupuncture and factors, such as the number of treatments given, that impact its effectiveness.

Agency
National Institute of Health (NIH)
Institute
National Center for Complementary & Alternative Medicine (NCCAM)
Type
Research Project (R01)
Project #
5R01AT006794-05
Application #
8849375
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Reider, Eve
Project Start
2011-08-01
Project End
2017-05-31
Budget Start
2015-06-01
Budget End
2017-05-31
Support Year
5
Fiscal Year
2015
Total Cost
Indirect Cost
Name
Sloan-Kettering Institute for Cancer Research
Department
Type
DUNS #
064931884
City
New York
State
NY
Country
United States
Zip Code
10065
Vickers, Andrew J; Vertosick, Emily A; Lewith, George et al. (2018) Acupuncture for Chronic Pain: Update of an Individual Patient Data Meta-Analysis. J Pain 19:455-474
MacPherson, H; Vertosick, E A; Foster, N E et al. (2017) The persistence of the effects of acupuncture after a course of treatment: a meta-analysis of patients with chronic pain. Pain 158:784-793
Woods, Beth; Manca, Andrea; Weatherly, Helen et al. (2017) Cost-effectiveness of adjunct non-pharmacological interventions for osteoarthritis of the knee. PLoS One 12:e0172749
Saramago, Pedro; Woods, Beth; Weatherly, Helen et al. (2016) Methods for network meta-analysis of continuous outcomes using individual patient data: a case study in acupuncture for chronic pain. BMC Med Res Methodol 16:131
Linde, Klaus; Allais, Gianni; Brinkhaus, Benno et al. (2016) Acupuncture for the prevention of episodic migraine. Cochrane Database Syst Rev :CD001218
Linde, Klaus; Allais, Gianni; Brinkhaus, Benno et al. (2016) Acupuncture for the prevention of tension-type headache. Cochrane Database Syst Rev 4:CD007587
Selby, Luke V; Vertosick, Emily A; Sjoberg, Daniel D et al. (2015) Morbidity after Total Gastrectomy: Analysis of 238 Patients. J Am Coll Surg 220:863-871.e2
MacPherson, Hugh; Vertosick, Emily; Lewith, George et al. (2014) Influence of control group on effect size in trials of acupuncture for chronic pain: a secondary analysis of an individual patient data meta-analysis. PLoS One 9:e93739
Vickers, Andrew J; Linde, Klaus (2014) Acupuncture for chronic pain. JAMA 311:955-6
Vickers, Andrew J; Acupuncture Trialists' Collaboration (2013) In reply. JAMA Intern Med 173:714

Showing the most recent 10 out of 13 publications