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基于Pubmed数据库的近五年青光眼文献计量分析被引量:3
2013年
目的 了解近5年国际青光眼相关文献的分布规律和研究热点.方法 以Pubmed数据库为数据源,对2007年1月至2011年12月所收录的青光眼相关文献进行统计分析,采用多元统计方法对高频主题词共现矩阵进行转换、并进行聚类分析和绘制战略坐标图;根据社会网络分析方法绘制可视化网络图谱.结果 共检出青光眼相关文献6427篇,近5年每年发文量变化不大.美国、英国、德国、澳大利亚和法国5个发达国家总发文量为4989篇,占发文总数的77.63%,中国以122篇文献排名第9.通过对52个高频主题词或副主题词进行聚类分析,结果显示当前的热点主要集中在以下10个领域:(1)视乳头和神经纤维层病理改变研究及OCT的应用研究;(2)视野和视功能的检查方法;(3)青光眼的药物治疗;(4)开角型青光眼的视野、眼压及视觉障碍的病理生理学;(5)青光眼的手术治疗;(6)开角型青光眼的致病基因研究;(7)青光眼的病理学及动物模型的建立;(8)高眼压引起的并发症和角膜病理研究;(9)先天性青光眼的相关研究,尤其是基因学及并发症方面;(10)青光眼的病因学和流行病学.战略坐标图和社会网络分析显示:青光眼视乳头和神经纤维层形态学、药物治疗和手术治疗已经较为成熟;眼压、视野在青光眼研究中处于核心地位,与疾病的发病、诊断、治疗等领域有着密切关系;青光眼致病基因研究、病理学及动物模型的建立、先天性青光眼、病因学和流行病学研究相对薄弱,有较大的提升空间.结论 多元统计和社会网络分析,直观展示了近五年国际青光眼的研究现状、热点和趋势.欧美国家在青光眼研究领域起着主导作用.国内相关研究的国际影响力有待加强.
黄文彬王伟周民稳陈士达张秀兰
关键词:青光眼文献计量学社区网络聚类分析
POAG患者黄斑区脉络膜厚度分析被引量:2
2014年
目的 评价POAG患者的黄斑区脉络膜厚度,并与相同年龄段正常人群比较,分析其临床意义.方法 临床对照研究.共纳入POAG患者46例(46眼)和正常人50例(50眼),采用频域OCT增强深度成像(EDI)测定中心凹下脉络膜厚度(SFCT)、距中心凹1 mm和3 mm处上、下、鼻、颞4个方位脉络膜厚度(S1CT、S3CT、I1CT、I3CT、N1CT、N3CT、T1CT、T3CT).比较POAG患者与正常人黄斑区脉络膜厚度的差异,并分析POAG患者脉络膜厚度与年龄、IOP、眼部生物参数及视野平均缺损(MD)间的相关性.结果 POAG患者黄斑区脉络膜厚度分布趋势与正常人相似,均表现为黄斑中心凹下脉络膜(SFCT)最厚和鼻侧3 mm(N3CT)最薄;POAG患眼与正常人黄斑区脉络膜厚度差异无统计学意义;不同病程阶段POAG患者脉络膜厚度亦未观察到明显不同.POAG患者SFCT、I1CT、N1CT、N3CT及黄斑区平均脉络膜厚度与MD之间存在负相关(r=-0.509、-0.515、-0.495、-0.480、-0.478,P<0.05).结论 POAG患者和正常人黄斑区脉络膜厚度有类似分布特征,但且其黄斑区脉络膜厚度与正常人无明显差异.
杜绍林王伟张秀兰林顺潮
关键词:青光眼开角型脉络膜厚度体层摄影术光学相干
Neovascular glaucoma: challenges we have to face被引量:14
2014年
Neovascular glaucoma (NVG) is a blinding, intractable disease, which is difficult to manage. It is referred to as an "end-stage" ocular disease. Conventional treatments for extremely uncontrolled NVG cases include retinal cryotherapy or enucleation. Major advancements in the diagnosis and the treatment of NVG, such as glaucoma drainage implant surgery and anti-vascular endothelial growth factor (anti-VEGF) treatment, have led to a new era in the management of this condition. However, many challenges still remain to be overcome.
Zhang Xiulan Zhou Minwen
A prospective comparative study on neovascular glaucoma and non- neovascular refractory glaucoma following Ahmed glaucoma valve implantation被引量:18
2014年
Background Neovascular glaucoma is a refractory disease, and difficult to manage. The aim of this study was to evaluate the clinical outcomes of Ahmed glaucoma valve implantation (AGVI) in neovascular glaucoma (NVG) and non- NVG patients. Methods This prospective, non-randomized study included 55 eyes of 55 patients with refractory glaucoma; 27 had NVG (NVG group) and 28 had non-NVG (non-NVG group). All of the patients underwent AGVI. The NVG group was adjunctively injected with intravitreal ranibizumab/bevacizumab (IVR/IVB) before AGVI. Intraocular pressure (lOP) was the primary outcome measure in this study. Surgical success rate, number of antiglaucoma medications used, best corrected visual acuity (BCVA), and postoperative complications were analyzed between the groups. Results All of the patients completed the study (follow-up of 12 months). Kaplan-Meier survival curve analysis indicated that the qualified success rates in the NVG and non-NVG groups at 12 months were 70.5% and 92.9%, respectively; this difference was significant (P=-0.036). The complete success rates in the NVG and non-NVG groups at 12 months were 66.7% and 89.3%, respectively (P=0.049). Compared with preoperative examinations, the postoperative mean lOP and use of medications were significantly lower at all follow-up time points in both groups (all P 〈0.05). There were significant differences in BCVA between the two groups at the 12-month follow-up (X2=9.86, P=0.020). Cox proportional hazards regression showed NVG as a risk factor for surgical failure (RR=15.08, P=0.033). Postoperative complications were similar between the two groups. Conclusions AGVI is a safe and effective procedure in refractory glaucoma, but the success rate of surgery was related to the type of refractory glaucoma. The complete and qualified success rates of NVG patient adjunctive anti-vascular endothelial growth factor treatment are still lower than those of non-NVG patients.
Li ZhengZhou MinwenWang WeiHuang WenbinChen ShidaLi XingyiGao XinboZhang Xiulan
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