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NCT07520045
The goal of this clinical trial is to see if treatment with faricimab or biosimilar ranibizumab leads to different early imaging changes in adults with diabetic retinopathy requiring anti-VEGF treatment and to identify OCT and OCTA biomarkers predictive of differential early treatment response between the two therapies. The main questions it aims to answer are: Which OCT and OCT angiography biomarkers predict early treatment response? How do imaging biomarkers change after three loading doses of treatment? Are imaging biomarkers associated with systemic laboratory parameters? Researchers will compare faricimab to biosimilar ranibizumab to see if there are differences in imaging biomarkers and early treatment response. Participants will: * be randomized in a 1:1 ratio using a computer-generated randomization sequence * undergo comprehensive ophthalmic examinations, including visual acuity and intraocular pressure measurement * undergo OCT and OCT angiography imaging at each visit * receive three intravitreal injections during the loading phase * attend follow-up visits from baseline to 4-5 weeks after the third injection * provide blood samples for systemic laboratory analysis
NCT07296952
This is a a type 3 hybrid effectiveness-implementation pilot study to evaluate the PRONTO-EYE intervention, a rideshare transportation program, in patients with diabetic retinopathy with Medicaid insurance on adherence to ophthalmology visits.
NCT07404657
This study is being done to evaluate the performance of a software that uses artificial intelligence to analyze photographs of the retina to help detect diabetic retinopathy. The study will also assess the safety of the software in combination with a fundus camera already available on the market. This software analyzes retinal photographs to detect more than mild diabetic retinopathy in adults with diabetes. The results will be compared to expert human evaluations.
NCT07351786
This study aims to test the impact of new-generation anti-diabetic drugs, such as SGLT2 inhibitors and DPP-4 inhibitors, on the development of diabetic retinopathy (DR). The study hypothesizes that these drugs have protective effects in diabetic retinopathy by delaying its incidence compared to older agents (including metformin) only. Early intervention is critical, as treatment options for advanced stages of DR are limited in terms of their ability to restore impaired vision and their high associated costs. By focusing on delaying the occurrence of diabetic retinopathy, the investigators aim to reduce the burden of DR and improve the quality of life for diabetic patients.
NCT07301775
Objective of this randomised controlled trial is to compare the efficacy of a single per operative anti VEGF injection with repeated postoperative anti VEGF injections in the prevention of diabetic retinopathy progression after cataract surgery. This Randomised Controlled Trial (RCT) will be conducted at Sahiwal Teaching Hospital and University College of Medicine \& Dentistry Lahore. Duration of study will be from January 2026 to September 2026. This study will be single blind and parallel group research. The study will include diabetic patients of both sexes ≥ 40 years of age presenting with non-proliferative diabetic retinopathy and cataract. Exclusion criteria include proliferative diabetic retinopathy, center-involving diabetic macular oedema (DME), poor glycemic control (HbA1c \>9%), glaucoma, uveitis, prior ocular surgery or laser, and recent systemic thromboembolic events. Subjects will be randomly divided into two groups, each containing 83 subjects. Standard phacoemulsification with intraocular lens implantation will be performed in all participants. A single intra vitreal Aflibercept injection ( 2mg/0.05 ml ), will be given to group 1 participants. While, group 2 participants will receive an intra operative injection plus two additional injections at 1 month and 2 months postoperatively. For all participants, follow up will be performed at 1 week, 1 month, 2 month, 3 month and 6 month. Primary Outcome include progression of diabetic retinopathy (DR) severity (≥1 stage according to the guidelines of the international clinical diabetic retinopathy disease severity scale ICDR) or onset/progression of DME. Secondary Outcomes include changes in best corrected visual acuity, changes in central macular thickness (CMT), and need for rescue treatment. SPSS version 26 will be utilised to analyse the data. P ≤ 0.05 will be taken as statistically significant. Qualitative variable like diabetic retinopathy grading and diabetic macular oedema status will be analysed by utilising Pearson's chi-square test. Quantitative variables like central macular thickness will be analysed by employing t-test.
NCT07249307
This observational study aims to establish key technologies for high-throughput, large-model-based AI-assisted diagnosis using optical coherence tomography (OCT) and OCT angiography (OCTA). The study will collect real-world OCT/OCTA images and corresponding clinical information from patients with common blinding retinal and optic nerve diseases at Peking Union Medical College Hospital. A high-throughput diagnostic framework based on large-scale artificial intelligence models will be developed and evaluated. The primary objective is to determine the diagnostic performance of the AI system, including its ability to identify diabetic retinopathy, branch retinal vein occlusion, central retinal vein occlusion, age-related macular degeneration, pathologic myopic choroidal neovascularization, and glaucoma-related optic nerve damage. The results of this study are expected to support the development of standardized, efficient, and scalable AI-assisted diagnostic pathways for OCT imaging in clinical practice.
NCT07216677
This is a real world investigation of patient who have undergone treatments for chronic eye conditions such as glaucoma and AMD.
NCT07095777
Investigators aim to investigate the effectiveness of visual perceptual learning on visual perceptual function in participants with diabetic retinopathy and to provide novel therapeutic insights for visual functional rehabilitation in diabetic retinopathy.
NCT07034612
This prospective observational study investigates the impact of pulsatile versus non-pulsatile cardiopulmonary bypass (CPB) flow on choroidal circulation in diabetic and non-diabetic patients undergoing elective coronary artery bypass grafting (CABG). A total of 104 patients aged 30 to 70 years will be included, with balanced distribution between diabetic and non-diabetic groups. Optical coherence tomography angiography (OCTA) will be performed preoperatively and at 1 month postoperatively to assess changes in choroidal vascularity. The primary objective is to determine whether the type of CPB flow affects choroidal microcirculation, particularly in diabetic patients. The findings may support more individualized perfusion strategies in patients at risk of ocular microvascular impairment.
NCT07003165
The global distribution of primary ophthalmic medical resources is uneven, and the traditional eye disease screening model has problems such as low efficiency, high cost and limited coverage. With the development of artificial intelligence and other technologies, it provides technical support for the construction of intelligent mobile screening model for eye diseases. The investigator's team has developed the 5G intelligent ophthalmic vehicle and served tens of thousands of people in 108 cities nationwide, initially verifying the feasibility of the new intelligent mobile screening model. However, the application effect, acceptance and influencing factors of this model in different regions are not clear, and there is a lack of economic benefit analysis based on real-world data. In this study, the investigators will conduct a cross-sectional study of large-scale population screening for blinding eye diseases in grassroots areas through the smart mobile screening model, focusing on the screening effectiveness and cost-effectiveness of the smart mobile screening model, integrating real-world multimodal eye health data, developing multiple smart screening analysis models, and exploring its adaptability and direction of improvement in grassroots areas.