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基于进展速度的眼底自发荧光模式在地图样萎缩周围的再分类:系统评价和荟萃分析。

RECLASSIFICATION OF FUNDUS AUTOFLUORESCENCE PATTERNS SURROUNDING GEOGRAPHIC ATROPHY BASED ON PROGRESSION RATE: A Systematic Review and Meta-Analysis.

机构信息

Department of Ophthalmology and Visual Science, Yale University School of Medicine, New Haven, Connecticut.

Department of Biomedical Engineering, Yale University, New Haven, Connecticut.

出版信息

Retina. 2019 Oct;39(10):1829-1839. doi: 10.1097/IAE.0000000000002480.

Abstract

PURPOSE

To reclassify fundus autofluorescence (FAF) patterns around geographic atrophy (GA) based on GA progression rates.

METHODS

MEDLINE, EMBASE, Cochrane Library, Clinicaltrials.gov, and PubMed were searched for studies reporting GA progression rates among different FAF patterns, such as "None," "Focal," "Banded," "Patchy," "Diffuse Nontrickling," and "Diffuse Trickling." The GA radius growth rate among different FAF patterns was compared, and a GA growth function for each group was derived. To account for the patients' different entry times, a horizontal translation factor was introduced to shift each data subset from "time after enrollment" to "duration of GA."

RESULTS

Seven studies with 496 eyes were included. Based on GA radius growth rates, the six FAF patterns were clustered into four groups with a high correlation coefficient within each group: Group 1, None, 0.061 mm/year (r = 0.996), Group 2, Focal, 0.105 mm/year (r = 0.987), Group 3, Banded, Patchy, and Diffuse Nontrickling, 0.149 mm/year (r = 0.993), and Group 4, "Diffuse Trickling, 0.245 mm/year (r = 0.997).

CONCLUSION

This meta-analysis suggested that the six FAF patterns can be coalesced into four groups based on lesion progression rates. Simplification of the reclassified FAF patterns may shed light on the GA natural history and assist in the design of clinical trials.

摘要

目的

根据地图状萎缩(GA)的进展速度,重新分类 GA 周围的眼底自发荧光(FAF)模式。

方法

在 MEDLINE、EMBASE、Cochrane 图书馆、Clinicaltrials.gov 和 PubMed 上搜索报告不同 FAF 模式(如“无”、“局灶性”、“带状”、“斑片状”、“弥漫性非滴状”和“弥漫性滴状”)中 GA 进展率的研究。比较不同 FAF 模式下 GA 半径增长率,并为每个组推导一个 GA 生长函数。为了考虑患者不同的进入时间,引入了一个水平平移因子,将每个数据子集从“登记后时间”转换为“GA 持续时间”。

结果

纳入了 7 项包含 496 只眼的研究。根据 GA 半径增长率,将六种 FAF 模式聚类为四个组,每个组内相关性系数较高:组 1,无,0.061mm/年(r=0.996);组 2,局灶性,0.105mm/年(r=0.987);组 3,带状、斑片状和弥漫性非滴状,0.149mm/年(r=0.993);组 4,“弥漫性滴状”,0.245mm/年(r=0.997)。

结论

这项荟萃分析表明,根据病变进展速度,六种 FAF 模式可以合并为四个组。简化重新分类的 FAF 模式可能有助于了解 GA 的自然史并协助临床试验设计。

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