Background: To determine the predictive value of retinal microvascular abnormalities for cerebrovascular ischemic diseases (CVDs), we aimed to investigate the quantitative association between retinal microvascular changes and CVD subcategories: white matter hyperintensities (WMHIs), lacunar infarcts (LIs), and cerebral infarctions (CIs). Methods: Using Meta-analyses Of Observational Studies in Epidemiology guidelines, we searched 6 databases through September 2016 for studies evaluating the linkage between retinal microvascular abnormalities and WMHI, and LI and Cl. Studies were included if they reported odds ratios (ORs) and 95% confidence intervals or raw patient level data (that were computed into ORs). Unadjusted and vascular risk-factor adjusted ORs were pooled into meta-analysis using DerSimonian Laird random effects model. Study quality and dissemination biases were assessed and integrated. Results: From 24,444 search-identified records, 28 prospective studies encompassing 56,379 patients were eligible for the meta-analysis. After vascular risk-factor adjustment, focal arteriolar narrowing was associated with WMHI (OR, 1.24 [1.01-1.79]), LI (OR, 1.77 [1.14-2.74]), and CI (OR, 1.75 [1.14-2.69]). Venular dilation was associated with LI (OR, 1.46 [1.10-1.93]), and retinal hemorrhages with WMHI (OR, 2.23 [1.34-3.70]). Any retinopathy exhibited significant association with CI (OR, 1.96 [1.65-2.50]). Heterogeneity was significant (I-2>50%) for all syntheses except retinal hemorrhages and WMHI, and retinopathy and CI (I-2=0.0%). Associations remained significant after adjustments for quality and publication bias. Conclusions: We found the most significant association between retinal hemorrhages and WMHI. Focal arteriolar narrowing and retinopathy predicted CVD subtypes after risk-factor adjustment, suggesting that features different than traditional vascular risk factors, are involved in CVD pathophysiology.