BMJ Open (Aug 2022)

Factors Associated with the Magnitude Of acUpuncture treatment effectS (FAMOUS): a meta-epidemiological study of acupuncture randomised controlled trials

  • Lehana Thabane,
  • Gordon Guyatt,
  • Qi Zhou,
  • Cynthia Chan,
  • Cristiane de Cássia Bergamaschi,
  • Luciane Cruz Lopes,
  • Claudia M Witt,
  • Jing Meng,
  • Kay Wu,
  • Layla Bakaa,
  • Malini Hu,
  • Tayler A Buchan,
  • Jason Chambers,
  • Yujin Suk,
  • Lauren Giustti Mazzei,
  • Maíra Ramos Alves,
  • Flávia Blaseck Sorrilha,
  • Yu-Ting Huang,
  • Yu-qing Zhang,
  • Tiago V Pereira,
  • Zhao Zeng,
  • Ping Song,
  • Jared E Dookie,
  • Kevin Loniewski,
  • Wei-Juan Gang,
  • Wen-Cui Xiu,
  • Lan-Jun Shi,
  • Rui-Min Jiao,
  • Ji-Wei Yang,
  • Xiao-Shuang Shi,
  • Xiao-Yue Sun,
  • Long-Hui Yang,
  • Xiang-Hong Jing,
  • Li-Zhen Chen,
  • Zhi-Yun Zhang,
  • Heng-Cong Li,
  • Jing-Tao Shi,
  • An-Li Chen,
  • Zheng-Yang Qu,
  • Ling Zou,
  • Dong-Xiao Mou,
  • Xiao-Yu Wang,
  • Qing-Quan Yu,
  • Cameron Ho,
  • Kyle Tong,
  • Jaryd Tong,
  • Jie-wei Zhu,
  • Julia White,
  • Mariana Del Grossi Moura

DOI
https://doi.org/10.1136/bmjopen-2021-060237
Journal volume & issue
Vol. 12, no. 8

Abstract

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Objective To identify factors and assess to what extent they impact the magnitude of the treatment effect of acupuncture therapies across therapeutic areas.Data source Medline, Embase, Cochrane Central Register of Controlled Trials, China National Knowledge Infrastructure, Wanfang Database, VIP Database, and China Biology Medicine disc, between 2015 and 2019.Study selection The inclusion criteria were trials with a total number of randomised patients larger than 100, at least one patient-important outcome and one of two sets of comparisons.Data analysis The potential independent variables were identified by reviewing relevant literature and consulting with experts. We conducted meta-regression analyses with standardised mean difference (SMD) as effect estimate for the dependent variable. The analyses included univariable meta-regression and multivariable meta-regression using a three-level robust mixed model.Results 1304 effect estimates from 584 acupuncture randomised controlled trials (RCTs) were analysed. The multivariable analyses contained 15 independent variables . In the multivariable analysis, the following produced larger treatment effects of large magnitude (>0.4): quality of life (difference of adjusted SMDs 0.51, 95% CI 0.24 to 0.77), or pain (0.48, 95% CI 0.27 to 0.69), or function (0.41, 95% CI 0.21 to 0.61) vs major events. The following produced larger treatment effects of moderate magnitude (0.2–0.4): single-centred vs multicentred RCTs (0.38, 95% CI 0.10 to 0.66); penetration acupuncture vs non-penetration types of acupuncture (0.34, 95% CI 0.15 to 0.53); non-pain symptoms vs major events (0.32, 95% CI 0.12 to 0.52). The following produced larger treatment effects of small magnitude (<0.2): high vs low frequency treatment sessions (0.19, 95% CI 0.03 to 0.35); pain vs non-pain symptoms (0.16, 95% CI 0.04 to 0.27); unreported vs reported funding (0.12, 95% CI 0 to 0.25).Conclusion Patients, clinicians and policy-makers should consider penetrating over non-penetrating acupuncture and more frequent treatment sessions when feasible and acceptable. When designing future acupuncture RCTs, trialists should consider factors that impact acupuncture treatment effects.