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23篇 您的检索式:作者名="You YuLi"
    题名 作者 年代 出处 被引量
1Effect and safety of acupotomy in treatment of knee osteoarthritis:a systematic review and Meta-analysis显示文摘OBJECTIVE: To evaluate the clinical efficacy and safety of acupotomy in treatment of knee osteoarthritis(OA).METHODS: Extensive literature searches were carried out in PubMed, EMBASE, Cochrane Library(Issue 5, 2017), Chinese Biomedical Literature Database, China National Knowledge Infrastructure Database, China Science and Technology Journal Database and Wanfang Database. All databases were retrieved from their inception until May 31, 2017.Randomized controlled trials incorporating acupotomy versus intra-articular sodium hyaluronate for knee osteoarthritis were included. According to Cochrane Reviews’ Handbook(5.2), two reviewers screened each article and extracted data independently and were blinded to the findings of each reviewer. Meta-analysis was performed by the Cochrane Collaboration’s RevMan 5.3 software.RESULTS: We identified 12 studies involving 1150 patients aged between 40 and 78 years old. The pooled analysis indicated that acupotomy showed a significant improvement for short-term effect[cure rate: odds ratio(OR) = 2.04, 95% confidence interval(CI)(1.46, 2.85), P < 0.01;total effective rate:OR = 2.25, 95% CI(1.55, 3.28), P < 0.01;pain score:standard mean difference(SMD) =-1.02;95% CI(-1.72,-0.31);P = 0.005;Western Ontario and McMaster Universities Questionnaire(WOMAC) score:SMD =-0.74;95% CI(-1.11,-0.37);P < 0.01];and also for long-term effect [total effective rate:OR = 2.99, 95%CI(1.88, 4.76), Z = 4.64, P < 0.01;pain score: SMD =-1.68;95% CI(-2.14,-1.22);P <0.001;WOMAC score: SMD =-0.91;95% CI(-1.40,-0.41);P < 0.001]. In addition, there was no obvious difference between acupotomy group and control group in adverse events [OR = 2.13, 95% CI(0.14, 32.28), P = 0.58].CONCLUSION: Acupotomy is a safe and effective treatment for KOA. However, due to the methodological deficiency of the included studies, well-designed randomized controlled trials are required to further confirm the findings.Fang Ting Li Qi Zhou Fanyuan Liu Fushui Liu Zhongyong Zhao Meimei Chen Mei You Jianyu Jin Yuli Xie Jinmei 2020Journal of Traditional Chinese Medicine2020,40,3:6
2Flavonoids from traditional Chinese herbs for diabetes in rats:a network Meta-analysis显示文摘OBJECTIVE:In this Meta-analysis,we evaluated the hypoglycemic effect of 5 flavonoids found in traditional Chinese herbs(naringenin,kaempferol,puerarin,baicalein,and luteolin)on diabetic rats.METHODS:Four databases including Pub Med,Web of Science,Embase,and Cochrane Library,were searched from inception to May 2020.Only studies using diabetes model rats were included in the analysis.Blood glucose data from the last measurement were collected and analyzed.Pair-wise Meta-analyses were conducted using STATA v14.0 software and a Meta-analysis was conducted using STATA v14.0,ADDIS v1.16.6,and R v3.6.1.The quality of included studies was assessed with the SYRCLE risk of bias tool for animal studies,and publication bias was evaluated with a comparisonadjusted funnel plot.RESULTS:A total of 33 studies were included in the analysis,in which all 5 flavonoids showed a beneficial effect on blood glucose level of diabetic rats were included in the final analysis.The standardized mean differences(95%confidence intervals)were-4.92(-6.67,-3.17)for naringenin,-12(-18.74,-5.27)for kaempferol,-2.52(-3.77,-1.26)for puerarin,-3.04(-5.75,-0.34)for baicalein,and-1.94(-2.95,-0.92)for luteolin.The network Meta-analysis showed no statistically significant differences between the effect sizes of the flavonoids.CONCLUSION:The results of the Meta-analysis showed that naringenin,kaempferol,puerarin,baicalein,and luteolin all have clear hypoglycemic effects in rat diabetes models,highlighting their therapeutic potential for preventing and treating diabetes mellitus in clinical practice.WU You HU Yuli LIU Wei SUN Boju ZHANG Chengfei WU Lili LIU Tonghua 2022Journal of Traditional Chinese Medicine2022,42,1:2
3Four-Order Partial Differential Equations for Noise Removal 显示文摘You Yuli Kaveh M 2000IEEE Trans on Image Processing2000,9,10:1
4A Regularization Approach to Joint Blur Identification and Image Restoration显示文摘You Yuli Kaveh M 1996IEEE Trans on Information Theory1996,5,3:1
5Fourth-order Partial Differential Equations for Noise Removel显示文摘You Yuli Kaveh M 2000IEEE Transactions on Image Processing2000,9,10:1
6Fourth - order partial differential equations for noise removal 显示文摘You Yuli Kaveh D 2000IEEE Trans Image Processing2000,9,10:1
7Behavioral analysis of anisotropie diffusion in image processing显示文摘You Yuli Xu Wenyuan Tannenbaum A 1996IEEE Transactions on Image Processing1996,5,11:1
8A Regularization Approach to Joint Blur Identification and Image Restoration显示文摘You Yuli Kaveh M 1996IEEE Transactions on Image Processing1996,5,3:1
9Fourth-order partial differential equations for noise removal显示文摘You Yuli Kaveh M 2009IEEE Transactions on Image Processing2009,9,10:1
10Monotonically edgesharpening anisotropic diffusion显示文摘Ma Wenhua You Yuli Kaveh M 2012Journal of Electronic Imaging2012,21,1:1
11Behavioral analysis of anisotropic diffusion in image processing显示文摘You Yuli Xu Wenyuan Tannenbaum Allen 1996IEEE Transactions on Image Processing1996,5,11:1
12Fourth-order partial differentialequations for noise removal 显示文摘You Yuli Kaveh M 2000IEEE TransactionImage Processing2000,9,10:1
13Fourth-order partial different equational differential equations for noise removal 显示文摘You Yuli Kaveh M 2000IEEE Trans on Image Processing2000,9,10:1
14A regularization approach to joint blur identification and image restoration显示文摘 Kaveh M 1996IEEE Transaction on Image PRocessing1996,5,:1
15Fourth-order partial differential equations for noise Removal 显示文摘You Yuli Kaveh M 2000IEEE Transactions on Image Processing2000,9,10:1
16Fourth- order partial differential equations for noise removal显示文摘You Yuli Kaveh D 2000IEEE Trans Image Processing2000,9,10:1
17Behavioral analysis of anisotropic diffusion in image processing显示文摘You Yuli Xu Wenyuan Tannenbaum A 1996IEEE Trans Image Proc1996,5,11:1
18Fourth- order partial differential equations for noise removal显示文摘You Yuli Kaveh D 2000IEEE Trans Image Processing2000,9,10:1
19Behavioral analy- sis of anisotropic diffusion in image processing显示文摘YOU Yuli XU Wenyuan Tannenbaum A 1996IEEE IP1996,5,11:1
20Behavioral analysis of anisotropic diffusion in image processing 显示文摘You YuLi Xu WenYuan Tannenbaam Allen 1996Transactions on Image Pmcessing1996,5,11:1
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