Meta-Analysis and Systematic Review of Neural Stem Cells therapy for experimental ischemia stroke in preclinical studies.
Meta-Analysis and Systematic Review of Neural Stem Cells therapy for experimental ischemia stroke in preclinical studies.
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DOI：
10.1038/srep32291
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发表时间：
2016-08-24
影响因子：
4.6
通讯作者：
Guo X
中科院分区：
文献类型：
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作者：
Chen L;Zhang G;Gu Y;Guo X
评价神经干细胞移植治疗实验性缺血性卒中的临床前研究，确定神经干细胞移植治疗的效果大小及不同临床措施之间的相关性。我们首先检索文献以确定神经干细胞治疗动物脑缺血模型的研究，然后计算研究的质量分数，通过Meta分析评估神经干细胞治疗相对于行为和组织学终点的效果大小。共有37项研究和54项独立治疗干预被用于系统回顾和荟萃分析。中位质量评分为5分(10分)。36项研究(53个干预组)报告了功能性结果，22项研究(34个干预组)报告了结构性结果。经分组和敏感性分析调整后，mNSS的平均效应大小提高了1.35，转盘试验改善了1.84，圆柱体试验改善了0.61，梗塞体积改善了0.84。此外，效应大小与临床变量有一定的交互作用，例如早期NSCs治疗等。在这项临床前研究中，我们证明移植NSCs显著改善了缺血性卒中的结果(包括功能和结构结果)。建议未来卒中的临床前动物模型研究应提高研究质量和有效性，并减少潜在的混杂发表偏倚。
To evaluate the preclinical studies using NSCs transplantation therapy for experimental ischemic stroke, and determine the effect size of NSCs therapy and the correlations between different clinical measures. We firstly searched literatures to identify studies of NSCs therapy in animal cerebral ischemia models, and then calculated the quality score of studies, assessed the effect size of NSCs therapy relative to behavioral and histologic endpoints by meta-analysis. A total of 37 studies and 54 independent treated interventions were used for systematic review and meta-analysis. The median quality score was 5 of 10. 36 studies (53 intervention arms) reported functional outcome, 22 studies (34 intervention arms) reported structural outcome. After adjusted by subgroup and sensitivity analysis, the mean effect sizes were improved by 1.35 for mNSS, 1.84 for rotarod test, 0.61 for cylinder test, and 0.84 for infarct volume. Furthermore, effect size had a certain interaction with clinical variables, for example early NSCs therapy etc. In this preclinical studies, we demonstrated that transplanted NSCs significantly improved outcomes (both functional and structural outcome) in ischemic stroke. It is suggested that future preclinical animal model studies of stroke should improve study quality validity and reduce potentially confounded publication bias.