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不同干预措施对腰痛患者恐动症干预效果的网状Meta分析 被引量:1

A Network Meta-analysis of the Effect of Different Interventions in Kinesiophobia Patients with Low Back Pain
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摘要 目的:采用网状Meta分析的方法评价不同干预措施对腰痛患者恐动症干预效果。方法:计算机检索The Cochrane Library、PubMed、WOS、Embase、CNKI、CBM、VIP、WanFang Data数据库中与腰痛患者恐动症干预措施相关的随机对照试验,检索时限从建库至2022年1月。由2名研究者独立筛选文献、提取资料并评价纳入研究的偏倚风险后,采用Stata 16.0软件进行网状Meta分析。结果:纳入16项研究,1137例患者。网状Meta分析结果显示,认知行为疗法、虚拟现实训练与常规治疗相比,差异均有统计学意义。SUCRA概率排序结果显示,由高到低依次为虚拟现实训练>认知行为疗法>疼痛神经科学教育>多学科协作疗法>手法治疗>物理治疗>普拉提>分级活动>常规治疗>视频锻炼。结论:本研究证据表明,虚拟现实训练干预腰痛患者恐动症效果最优,其次是认知行为疗法。受纳入研究数量和质量限制,上述结论还需开展更多高质量的RCT来对本研究结果进一步验证。 Objective:To evaluate the effect of different interventions in kinesiophobia patients with low back pain by using network meta-analysis.Method:Randomized controlled trials related to kinesiophobia intervention in patients with low back pain were searched in The Cochrane Library,PubMed,WOS,Embase,CNKI,CBM,VIP and WanFang Data databases.The retrieval period is from database construction to January 2022.Two researchers independently screened the literature,extracted data,and evaluated the risk of bias in the included studies.Stata 16.0 software was used for mesh Meta-analysis.Result:A total of 16 studies involving 1137 patients were included.Results of network Meta-analysis showed that cognitive behavioral therapy,virtual reality training,and multidisciplinary collaborative therapy were statistically significant compared with conventional treatment.The ranking results of SUCRA probability showed that the order from high to low was virtual reality training>cognitive behavioral therapy>pain neuroscience education>multidisciplinary collaborative therapy>manual therapy>physical therapy>Pilates>graded activity>routine therapy>video exercise.Conclusion:The evidence of this study indicates that virtual reality training has the best effect on motility in patients with low back pain,followed by cognitive behavioral therapy.Due to the limitations of the number and quality of the included studies,the above conclusions need to be further verified by more high-quality RCTS.
作者 巩应霞 吴慧娟 许瑞 贾鸿安 王渭昭 王慧娟 苗俊芳 GONG Yingxia;WU Huijuan;XU Rui;JIA Hong'an;WANG Weizhao;WANG Huijuan;MIAO Junfang(School of Nursing,Gansu University of Traditional Chinese Medicine,Lanzhou 730000,China)
出处 《中国医学创新》 CAS 2023年第9期151-157,共7页 Medical Innovation of China
基金 甘肃中医药大学研究生创新创业基金资助项目(2022CX74)。
关键词 腰痛 恐动症 网状Meta分析 Low back pain Kinesiophobia Network Meta-analysis
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  • 1倪江东,汤艳清,谢光荣,张治坤.医学模式的转变与对腰痛患者实施认知行为治疗[J].医学与哲学,2005,26(1):75-76. 被引量:8
  • 2Lumley T. Network meta-analysis for indirect treatment comparisons. StatMed, 2002, 21(16): 2313-2324.
  • 3Higgins JPT, Green S(eds). Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0. Available at: http://www. cochrane-handbook.org.
  • 4张天嵩,钟文昭,李博,主编.实用循证医学方法学.第2版,长沙:中南大学出版社,2014:477-526.
  • 5Dias S, Welton NI, Sutton AJ, et al. Nice Dsu Technical Support Document 2: a Generalised Linear Modelling Framework For Pairwise And Network Meta-Analysis Of Randomised Controlled Trials [EB/OLJ. Available at: http://research-information.bristol. ac.uk/files/7215331/TSD2_General_meta_analysis.final.08.05.12. pdf.
  • 6White IR, Barrett JK, Jackson D, et al. Consistency and inconsistency in network meta-analysis: model estimation using multivariate meta-regression. Res Synth Methods, 2012, 3(2): 111-125.
  • 7White IR. Multivariate random-effects meta-regression: updates to mvmeta. StataJ, 2011, 11(2): 255-270.
  • 8Higgins JPT, Jackson D, Barrett JL, et al. Consistency and inconsistency in network meta-analysis: concepts and models for multi-arm studies. Res Synth Methods, 2012, 3(2): 98-110.
  • 9Dias S, Welton NJ, Caldwell DM, et aL Checking consistency in mixed treatment comparison meta-analysis. Stat ivied, 2010, 29(7-8): 932-944.
  • 10张超,陶华,李胜,曾宪涛.应用Stata软件mvmeta程序包实现网状Meta分析[J].中国循证医学杂志,2014,14(9):1150-1159. 被引量:22

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