View clinical trials related to Diabetic Retinopathy.
Filter by:The randomized clinical trial aims to compare the therapeutic effects between panretinal photocoagulation(PRP) and PRP combined with intravitreal conbercept (IVC) injection in severe nPDR with/without diabetic macular edema patients.
The study will explore the impact of photobiomodulation (PBM), pulsating at frequencies of red (660nm) and near-infrared (810nm)(NIR), concurrent with a ketogenic dietary protocol (serum ketones @ .5 - 2.0 mmol/L) to mediate vascular features of diabetic retinopathy (DR), diabetic macular edema (DME), age-related macular degeneration (AMD), mid-peripheral drusens, visual acuity and retinal disorders. Red and near-infrared light via light-emitting diode (LED) treatment promotes retinal healing and improves visual acuity by augmenting cellular energy metabolism, enhancing mitochondrial function, increasing cytochrome C oxidase activity, stimulating antioxidant protective pathways and promoting cell survival. LED therapy directly benefits neurons in the retina, the lateral geniculate nucleus and the visual cortex; likewise, a ketogenic dietary protocol shows metabolic and neuro-modulatory benefits within the CNS, most notably as treatment for refractory epilepsy. Photobiomodulation has been approved as a non-significant risk (NSR) modality for the treatment of eye disorders.
A study to assess the utility of human polarization pattern perception for the detection, diagnosis and monitoring of eye disease
This study evaluates micro-vascular changes in patients with diabetes. Results of diseased retinas will be compared to healthy controls.
The vast majority of blindness is avoidable. The World Health Organization (WHO) estimates that 80% of cases of visual impairment could be prevented or reversed with early diagnosis and treatment. The leading causes of visual impairment are cataract and refractive error, followed by glaucoma, age-related macular degeneration (AMD), and diabetic retinopathy (DR). Loss of vision from these conditions is not inevitable; however, identifying at-risk cases and linking cases with appropriate care remain significant challenges. To address the global burden of avoidable blindness, eye care systems must determine optimal strategies for identifying people with or at risk for visual impairment beyond opportunistic screening. Outreach programs can prevent blindness both by screening for asymptomatic disease like age-related macular degeneration (AMD), diabetic retinopathy (DR), and glaucoma and case detection of symptomatic disease like cataract and refractive error. Eye care systems have developed numerous community-based approaches to these identification methods, including screening using telemedicine and case detection via cataract camps or community health worker models, but no studies have been conducted on the comparative effectiveness or cost effectiveness of these various approaches. Technology promises to greatly improve access to sophisticated eye care. AMD, DR, and glaucoma can result in irreversible vision loss, and early diagnosis and effective treatment can prevent progression.Thus, community screening programs may prevent progression and improve the vision of a population.However, mass screening for eye disease is currently not recommended. Although self-evident that early detection can prevent blindness for an individual, no randomized controlled trial has been able to demonstrate that screening improves visual acuity at the community level. However, recent technological advances promise to dramatically change the equation by allowing non-medical personnel to use mobile,easy-to-use retinal imaging devices to diagnose screenable eye diseases such as AMD, DR, and glaucoma. Mobile technology could also transform the way clinics communicate with their patients, improving linkage to and retention in care. Optical coherence tomography (OCT) is an ideal test for community-based screening. OCT can be performed through an undilated pupil and is less subject to optical aberrations due to cataract than is fundus photography. OCT machines have pre-installed algorithms to screen for glaucoma, and major anatomical abnormalities can easily be detected even by novice technicians. The infrared image allows detection of referable diabetic retinopathy, and newer OCT angiography machines offer even more discrimination of early diabetic retinopathy. OCT machines are ever more portable, and could be feasibly used in community-based screening programs. The investigators propose a large cluster-randomized trial in Nepal to compare two community-based blindness prevention programs: (1) a state-of-the-art screening program employing OCT and intraocular pressure testing to screen for glaucoma, DR, and AMD followed by enhanced linkage-to-care to the local eye hospital, and (2) a screening program involving only visual acuity assessment. An initial door-to-door census will assess baseline visual acuity in both study arms. The investigators will compare visual acuity between the two arms through a second door-to-door census 4 years later (primary outcome). The investigators maximize their chances of finding an effect by conducting the study in Nepal, where the burden of undiagnosed eye diseases is high. If successful in Nepal, future studies could assess the generalizability of such a program to other settings, such as rural communities in the industrialized world.
The overall five-year goals of the project are to develop novel technology to provide actionable new information through provision of live volumetric imaging during surgery, improving surgical practice and outcomes. The investigators believe this technology will enable novel ophthalmic and other microsurgeries not possible due to current limitations in surgical visualization.
CD160 represents a new angiogenic factor as its specific engagement by an agonist monoclonal antibody directed against human CD160 reduced angiogenesis of endothelial cells with a distinct mechanism from current angiogenic therapies that target the VEGF/VEGF-R pathway. A soluble form of CD160, sCD160, has been found to be highly expressed in the vitreous and the sera of patients with severe diabetic retinopathies, and can now be dosed with help of an ELISA test. The investigators aim to evaluate the association between ischaemic retinopathies (patients with or without) and sCD160 concentrations in the vitreous, the aqueous humour and the serum.
This is a prospective and observational study in patients with type two diabetes. The study hypothesis is that chronic hyperglycemia causes an increase in the microcirculation on the carotid artery wall and retina, evaluated by angio-OCT. Furthermore, the reestablishment of normoglycemia would decrease this microcirculation, which could trigger hypoxic and ischemic changes, accelerating preclinical atherosclerosis. The study goal is to describe the microangiopathy in both territories in patients with type two diabetes and chronic hyperglycemia, and to evaluate changes after the reestablishment of normoglycemia.
The purpose of the Shanghai Diabetic Eye Study (SDES) was to guide and regulate eye health screening of two hundred thousand people with diabetes in the communities in 16 districts in Shanghai, build up the ranks with the general practitioner as the backbone combined, and provide comprehensive, continuous, and dynamic information service to diabetic eye disease health management. We expect to form a "screening, finding, referral, follow-up and health management" diabetic eye disease working mode, integrate medical care and precaution closely, promote the classified management and referral, reduce the prevalence rate of diabetic eye disease, blindness and visual impairment of DR, and improve diabetics consciousness of eye health maintenance. At the same time, we will also improve the device configuration of eye health screening and relevant personnel training mechanism in the community health service centers, thus upgrading the level of eye disease prevention and treatment in Shanghai.
This is an observational cross sectional study aimed to evaluate the performance of the artificial intelligence algorithm in detecting any grade of diabetic retinopathy using retinal images from patients with diabetes.