Journal article
The Effect of Patient Characteristics on Acupuncture Treatment Outcomes An Individual Patient Data Meta-Analysis of 20,827 Chronic Pain Patients in Randomized Controlled Trials
Claudia M Witt, Emily A Vertosick, Nadine E Foster, George Lewith, Klaus Linde, Hugh MacPherson, Karen J Sherman, Andrew J Vickers, Claire Allen, Brian Berman, Benno Brinkhaus, Remy Coeytaux, Hans-Christoph Diener, Heinz G Endres, Michael Haake, Rana S Hinman, Dominik Irnich, Wayne B Jonas, VA Kai Kronfeld, Lixing Lao Show all
CLINICAL JOURNAL OF PAIN | LIPPINCOTT WILLIAMS & WILKINS | Published : 2019
Abstract
OBJECTIVES: To optimally select chronic pain patients for different treatments, as it is of interest to identify patient characteristics that might moderate treatment effect. Our aim was to evaluate the impact of possible moderators on the effect of acupuncture treatment using a large data set. METHODS: We used data from an individual patient data meta-analysis of high-quality randomized trials of acupuncture for chronic headache and migraine, osteoarthritis, and back, neck, and shoulder pain. Using meta-analytic trial-level and patient-level regression analyses, we explored the impact of 5 documented patient characteristics (patients' age at baseline, sex, pain duration, baseline pain sever..
View full abstractGrants
Awarded by National Center for Complementary and Alternative Medicine at the National Institutes of Health, Bethesda, MD
Awarded by National Institute for Health Research, London, UK (NIHR) under its Program Grants for Applied Research scheme
Awarded by NIHR Research Professorship
Funding Acknowledgements
The Acupuncture Trialists' Collaboration is funded by an R21 (AT004189I and an R01 (AT006794) from the National Center for Complementary and Alternative Medicine at the National Institutes of Health, Bethesda, MD to A.J.V.) and by a grant from the Samueli Institute, Alexandria, VA. H.M.P.'s work on this project was funded in part by the National Institute for Health Research, London, UK (NIHR) under its Program Grants for Applied Research scheme (RP-PG-0707-10186). N.E.F., an NIHR Senior Investigator, was supported through an NIHR Research Professorship (RP-011-015). The authors declare no conflict of interest.