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Prognostic role of microvessel density in patients with glioma

机译:微血管密度在胶质瘤患者中的预后作用

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Background: The aim of this study was to systematically evaluate the prognostic role of microvessel density (MVD) in patients with glioma through performing a meta-analysis. Methods: Web of Science, EMBASE, PubMed, Cochrane Library, and China National Knowledge Infrastructure were searched for potentially relevant literature. The study characteristics and relevant data were extracted. Hazard ratios (HRs) with 95% confidence intervals (CIs) were pooled to estimate the prognostic role of MVD in patients with glioma . Results: Nine studies with 536 patients were included. The pooled HR of higher MVD for overall survival (OS) was 1.64 (95% CI, 1.07–2.50) in patients with glioma . Subgroup analyses were also performed. The pooled HRs of higher MVD in studies from East Asia studies examining high-grade gliomas and studies using anti-CD105 antibodies were 1.99 (95% CI, 1.04–3.80), 1.60 (95% CI, 1.09–2.34) and 2.99 (95% CI, 1.50–5.99), respectively. No significant publication bias was found ( P = .592), but significant between-study heterogeneity was observed (Isup xmlns:mrws="http://webservices.ovid.com/mrws/1.0"2/sup = 80.5%, P .001) in the meta-analysis. Conclusion: Our results suggested that higher MVD was associated with worse OS in patients with glioma . The findings may assist future research on antiangiogenic therapy and help predict prognosis in glioma . However, due to the limited number of studies, more well-designed studies are warranted to further verify our results.
机译:背景:本研究的目的是通过进行META分析系统地评估微血管密度(MVD)对胶质瘤患者的预后作用。方法:潜在相关文献,搜查了科学,Embase,PubMed,Cochrane图书馆和中国国家知识基础设施网络。提取了研究特征和相关数据。合并危害比率(HRS)具有95%置信区间(CIS)以估计MVD在胶质瘤患者中的预后作用。结果:包括536名患者的9项研究。总存活(OS)的汇总HR为胶质瘤的患者为1.64(95%CI,1.07-2.50)。还执行亚组分析。来自东亚研究的汇集HRS在东亚研究中检查高级胶质瘤和研究使用抗CD105抗体的研究为1.99(95%CI,1.04-3.80),1.60(95%CI,1.09-2.34)和2.99(95 %CI,1.50-5.99)分别。发现没有显着的出版物偏见(p = .592),但观察到 - 研究之间的重要性之间的重要性(i 2 = 80.5%,p <.001)在META分析中。结论:我们的研究结果表明,较高的MVD与胶质瘤患者的更严重的操作系统有关。调查结果可以帮助未来的抗血管生成治疗研究,并帮助预测胶质瘤预后。然而,由于研究数量有限,需要更精心设计的研究,以进一步验证我们的结果。

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