Literature DB >> 32571096

Identifying patients with chronic pain who respond to acupuncture: results from an individual patient data meta-analysis.

Nadine E Foster1, Emily A Vertosick2, George Lewith3, Klaus Linde4, Hugh MacPherson5, Karen J Sherman6, Claudia M Witt7,8, Andrew J Vickers2.   

Abstract

BACKGROUND: In a recent individual patient data meta-analysis, acupuncture was found to be superior to sham and non-sham controls in patients with chronic pain. It has been suggested that a subgroup of patients has an exceptional response to acupuncture. We hypothesized the presence of exceptional acupuncture responders would lead to a different distribution of pain scores in acupuncture versus control groups, with the former being skewed to the right.
METHODS: This individual patient data meta-analysis included 39 high-quality randomized trials of acupuncture for chronic headache, migraine, osteoarthritis, low back pain, neck pain and shoulder pain published before December 2015 (n = 20,827). In all, 25 involved sham acupuncture controls (n = 7097) and 25 non-acupuncture controls (n = 16,041). We analyzed the distribution of change scores and calculated the difference in the skewness statistic-which assesses asymmetry in the data distribution-between acupuncture and either sham or non-acupuncture control groups. We then entered the difference in skewness along with standard error into a meta-analysis.
FINDINGS: Control groups were more right-skewed than acupuncture groups, although this difference was very small. The difference in skew was 0.124 for non-acupuncture-controlled trials (p = 0.047) and 0.141 for sham-controlled trials (p = 0.029). In a pre-specified sensitivity analysis excluding three trials with outlying results known a priori, the difference in skew between acupuncture and sham was no longer statistically significant (p = 0.2).
CONCLUSION: We did not find evidence to support the notion that there are exceptional acupuncture responders. The challenge remains to identify features of chronic pain patients that can be used to distinguish those that have a good response to acupuncture treatment.

Entities:  

Keywords:  acupuncture; pain research, individual patient data meta-analysis, chronic pain, exceptional responder

Mesh:

Year:  2020        PMID: 32571096      PMCID: PMC8564764          DOI: 10.1177/0964528420920303

Source DB:  PubMed          Journal:  Acupunct Med        ISSN: 0964-5284            Impact factor:   2.267


  44 in total

Review 1.  Effectiveness of acupuncture for nonspecific chronic low back pain: a systematic review and meta-analysis.

Authors:  Megan Lam; Rose Galvin; Philip Curry
Journal:  Spine (Phila Pa 1976)       Date:  2013-11-15       Impact factor: 3.468

2.  Acupuncture for chronic knee pain: a randomized clinical trial.

Authors:  Rana S Hinman; Paul McCrory; Marie Pirotta; Ian Relf; Andrew Forbes; Kay M Crossley; Elizabeth Williamson; Mary Kyriakides; Kitty Novy; Ben R Metcalf; Anthony Harris; Prasuna Reddy; Philip G Conaghan; Kim L Bennell
Journal:  JAMA       Date:  2014-10-01       Impact factor: 56.272

Review 3.  Comparative effectiveness of pharmacologic interventions for knee osteoarthritis: a systematic review and network meta-analysis.

Authors:  Raveendhara R Bannuru; Christopher H Schmid; David M Kent; Elizaveta E Vaysbrot; John B Wong; Timothy E McAlindon
Journal:  Ann Intern Med       Date:  2015-01-06       Impact factor: 25.391

Review 4.  State-of-the-Art management of knee osteoarthritis.

Authors:  Kenton H Fibel; Howard J Hillstrom; Brian C Halpern
Journal:  World J Clin Cases       Date:  2015-02-16       Impact factor: 1.337

5.  Does Acupuncture Reduce Stress Over Time? A Clinical Heart Rate Variability Study in Hypertensive Patients.

Authors:  Kristen Sparrow; Brenda Golianu
Journal:  Med Acupunct       Date:  2014-10-01

6.  The effectiveness of an acupuncturist working in general practice--an audit.

Authors:  Patrick W Harborow; Jane Ogden
Journal:  Acupunct Med       Date:  2004-12       Impact factor: 2.267

7.  OARSI guidelines for the non-surgical management of knee osteoarthritis.

Authors:  T E McAlindon; R R Bannuru; M C Sullivan; N K Arden; F Berenbaum; S M Bierma-Zeinstra; G A Hawker; Y Henrotin; D J Hunter; H Kawaguchi; K Kwoh; S Lohmander; F Rannou; E M Roos; M Underwood
Journal:  Osteoarthritis Cartilage       Date:  2014-01-24       Impact factor: 6.576

8.  Efficacy of acupuncture for the prophylaxis of migraine: a multicentre randomised controlled clinical trial.

Authors:  Hans-Christoph Diener; Kai Kronfeld; Gabriele Boewing; Margitta Lungenhausen; Christoph Maier; Albrecht Molsberger; Martin Tegenthoff; Hans-Joachim Trampisch; Michael Zenz; Rolf Meinert
Journal:  Lancet Neurol       Date:  2006-04       Impact factor: 44.182

9.  Single-point acupuncture and physiotherapy for the treatment of painful shoulder: a multicentre randomized controlled trial.

Authors:  J Vas; C Ortega; V Olmo; F Perez-Fernandez; L Hernandez; I Medina; J M Seminario; A Herrera; F Luna; E Perea-Milla; C Mendez; F Madrazo; C Jimenez; M A Ruiz; I Aguilar
Journal:  Rheumatology (Oxford)       Date:  2008-04-10       Impact factor: 7.580

Review 10.  What intrinsic factors influence responsiveness to acupuncture in pain?: a review of pre-clinical studies that used responder analysis.

Authors:  Yu-Kang Kim; Ji-Yeun Park; Seung-Nam Kim; Mijung Yeom; Seungmin Lee; Ju-Young Oh; Hyangsook Lee; Younbyoung Chae; Dae-Hyun Hahm; Hi-Joon Park
Journal:  BMC Complement Altern Med       Date:  2017-05-25       Impact factor: 3.659

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  2 in total

1.  Acupuncture in chronic aspecific low back pain: a Bayesian network meta-analysis.

Authors:  Alice Baroncini; Nicola Maffulli; Jörg Eschweiler; Friedrich Molsberger; Alexandra Klimuch; Filippo Migliorini
Journal:  J Orthop Surg Res       Date:  2022-06-20       Impact factor: 2.677

2.  Identification of subgroup effect with an individual participant data meta-analysis of randomised controlled trials of three different types of therapist-delivered care in low back pain.

Authors:  Siew Wan Hee; Dipesh Mistry; Tim Friede; Sarah E Lamb; Nigel Stallard; Martin Underwood; Shilpa Patel
Journal:  BMC Musculoskelet Disord       Date:  2021-02-16       Impact factor: 2.362

  2 in total

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