Effectiveness of traditional Chinese medicine therapy for knee osteoarthritis: A network meta-analysis

Category Systematic review
JournalChinese Journal of Evidence-Based Medicine
Year 2016
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Objective To systematically review the efficacy and safety of traditional Chinese medicine (TCM) therapies versus non-steroidal anti-inflammatory drugs (NSAIDs) for knee osteoarthritis (KOA). Methods We electronically searched databases including PubMed, The Cochrane Library (Issue 5, 2015), EMbase, CNKI, CBM, VIP and WanFang Data from inception to 14 June 2015, to collect randomized controlled trials (RCTs) about TCM therapies for KOA. Two reviewers independently screened literature, extracted data and assessed the methodological quality of included studies. Then network meta-analysis was performed using Stata 12.0 and WinBUGS 1.4.3 softwares. Results A total of 56 RCTs involving 7 256 patients were included, in which 19 different treatment strategies were investigated. All were short-term efficacy studies. Our work yielded 33 direct and 138 indirect comparisons, among which 76 were demonstrated statistically significant. The result of meta-analysis showed that, the TCM-based therapy group had lower complication rates, compared with the NSAIDs group. TCM internal application + acupuncture + fumigation, internal application + fumigation + moxibustion, acupuncture + massage, TCM extra-apply + massage, massage + fumigation + moxibustion, and massage + fumigation were the top six in terms of treatment effect. NSAIDs ranked 18th. Conclusion The safety and effectiveness of TCM therapies are generally better than NSAIDs except moxibustion, particularly more remarkable for the top six TCM therapies. TCM comprehensive therapies are superior over monomodality therapies. Due to the limitation of the present studies, the long-term efficacy of TCM therapies needs further investigation, and our findings also need to be verified by large-scale and well-designed RCTs.
Epistemonikos ID: 8f2e6d7ec41e038dca2cd40d23bc643a0c19efa9
First added on: Nov 22, 2016