Research across Diabetic Macular Edema
Related studies from across the Diabetic Macular Edema family.
Questions about Diabetic Retinopathy
Can smartphone images be used to screen for diabetic retinopathy in low-resource settings?
Yes, smartphone-based imaging combined with AI screening tools can effectively detect diabetic retinopathy in low-resource settings, though further real-world testing is needed.
Full answer →Does having a high LDL-C to HDL-C ratio increase heart risks if I have diabetic retinopathy?
Yes, a high LDL-C to HDL-C ratio (≥2.0) is linked to a higher risk of cardiovascular events in people with type 2 diabetes and diabetic retinopathy, even when taking statins.
Full answer →How well do AI screening tools detect diabetic retinopathy compared to other methods?
AI screening tools detect diabetic retinopathy with high accuracy, outperforming conventional methods in meta-analyses, but real-world performance varies.
Full answer →Is there a link between having diabetic retinopathy and age-related macular degeneration?
Current evidence shows no significant link between diabetic retinopathy and age-related macular degeneration, despite shared risk factors.
Full answer →All Diabetic Retinopathy Articles
- OSAS not significantly tied to diabetic retinopathy overall, but risk doubles in Asian subgroups
- Dynamic gratings serve as tools for diagnosis and treatment evaluation in neuro-ophthalmic conditions
- Specific gut microbiota taxa are associated with the presence of diabetic retinopathy in T2DM patients
- AI-OCT reports reduced false-positive DME referral rates from 69.1% to 24.1%
- AI diagnostic tools show high accuracy but limited real-world validation in systematic review
- Deep learning models show high sensitivity for identifying various stages of diabetic retinopathy
- miR-29a-3p and miR-204-5p are downregulated in diabetic nephropathy as potential biomarker candidates
- High prevalence of microvascular and macrovascular complications among adult Ugandans with diabetes
- Exosomes show promise as biomarkers and therapeutic vectors in diabetic complications
- FDA Approves Pavblu (aflibercept) for Neovascular AMD, RVO, DME, and DR
- Systematic review and meta-analysis finds no significant association between diabetic retinopathy and age-related macular degeneration
- OCT-A metrics show association with diabetic retinopathy status in cross-sectional study
- High LDL-C to HDL-C ratio linked to cardiovascular events in type 2 diabetes with retinopathy
- Systematic Review Finds Chinese and Western Medicine Combination May Improve Diabetic Retinopathy Outcomes
- Meta-analysis finds AI screening tools strongly associated with diabetic retinopathy detection
- Preclinical deep learning model for diabetic retinopathy screening in low-resource settings
- Three-parameter online nomogram predicts diabetic retinopathy risk in community-dwelling type 2 diabetes patients
- Meta-analysis links diabetic retinopathy with anxiety and depression in over 383,000 patients
- Cross-sectional review of diabetic retinopathy prevalence and risk factors in 384 Somaliland patients
- FDA Approves Eylea HD (aflibercept) for nAMD, DME, Diabetic Retinopathy, and Macular Edema Following RVO