View clinical trials related to Diabetic Retinopathy.
Filter by:This pragmatic clinical trial is being conducted to test the effectiveness of I-SITE (Implementation for Sustained Impact in Teleophthalmology), an implementation program to sustain increased diabetic eye screening rates using teleophthalmology in rural, multi-payer health systems. Up to 10 rural health systems providing teleophthalmology to 10,000 patients with diabetes and 100 clinical care personnel participating in the I-SITE intervention will be enrolled for up to 48 months.
Diabetic retinopathy (DR) is one of the main complications in diabetes, the proliferative diabetic retinopathy (PDR) is the most important one of the reasons leading to decreased vision, PDR is the stage of clinical intervention. Pars plana vitrectomy (PPV) is an effective treatment for PDR, while vitreous haemorrhage (VH) is a common complication after PPV, with incidence ranging from 11.8% to 75%, and is the main cause of reoperation. Anti-Vascular endothelial growth factor (VEGF) therapy for vitreous hemorrhage can inhibit neovascularization and prevent recurrent vitreous haemorrhage after absorption. Previous studies have found that anti-VEGF is a safe and effective treatment for postoperative recurrent VH. In consideration of the psychological and economic factor of patients, this study intends to observe the effectiveness of single vitreous injection of Ranibizumab in the treatment of postoperative recurrent VH on the basis of previous clinical work. Compare the visual acuity, macular thickness, VH recurrence and patient satisfaction between the Ranibizumab group and the PPV group by randomized grouping.To observe the effective rate and clearance time of recurrent VH after Ranibizumab treatment and whether it can effectively reduce the rate of PPV. To provide clinical guidance for the precise treatment of PDR patients, the treatment of PDR patients has important clinical significance and social and economic significance.
With the increase in population and the rising prevalence of various diseases, the workload of disease diagnosis has sharply increased. The accessibility of healthcare services and long waiting times have become common issues in the public health medical system, with many primary patients having to wait for extended periods to receive medical services. There is an urgent need for rapid, accurate, and low-cost diagnostic services.
This is a prospective clinical study. At the Shaoguan Diabetic Eye Screening Programme, patients ages 30-80 will undergo the two diagnostic models: (1) in a remote diagnostic clinic site, patients undergo a self-testing device that provides both color retinal photography (CRP) and optical coherence tomography (OCT) imaging of nondilated pupils, and receive an online consultation provided by a retinal specialist; (2) on a separate day, patients visit the tertiary hospital, undergo traditional imaging of dilated pupils acquired by a non-expert imager using a traditional CRP imaging device at the point of care, and receive a face-to-face consultation provided by a retinal specialist. Within one week of receiving both diagnostic imaging services, patient preferences are assessed and they decide which diagnostic imaging model is preferred.
Anti-vascular endothelial growth factor therapy is the major intervention for treating ischemic retina diseases. According to FDA and China Food and Drug Administration, Ranibizumab, Aflibercept, and Conbercept are major types of anti-vascular endothelial growth factor therapy drugs. In the current study, the primary aim is to observe the visual acuity, anatomy effect of anti-vascular endothelial growth factor therapy in the real-world setting.
This is a pilot study of a patient navigator intervention for people living with diabetes and at high risk of diabetic blindness. The investigators are assessing the feasibility and acceptability of the intervention in preparation for a clinical trial.
The purpose of this study is to assess the impact of using autonomous artificial intelligence (AI) system for identification of diabetic retinopathy (DR) and diabetic macular edema on productivity of retina specialists in Bangladesh. Globally, the number of people with diabetes mellitus is increasing. Diabetic retinopathy is a chronic, progressive complication of diabetes mellitus that affects the microvasculature of the retina, which if left untreated can potentially result in vision loss. Early detection and treatment of diabetic retinopathy can prevent potential blindness. Study Aim: To assess the impact of using autonomous artificial intelligence (AI) system for detection of diabetic retinopathy (DR) and diabetic macular edema on physician productivity in Bangladesh. Main study question: Will ophthalmologists with clinic days randomized to use autonomous AI DR detection for all persons with diabetes (diagnosed or un-diagnosed) visiting their clinic system have a greater number of examined patients with diabetes (by either AI or clinical exam), and a greater complexity of examined patients on a recognized grading scale, per physician working hour than those randomized not to have autonomous AI screening for their diabetes population? The investigators anticipate that this study will demonstrate an increase in physician productivity, supporting efficiency for both physicians and patients, while also addressing increased access for DR screening; ultimately, preventing vision loss amongst diabetic patients. The study has the potential to contribute to the evidence base on the benefits of AI for physicians and patients. Additionally, the study has the potential to demonstrate the benefits (and/or challenges) of implementing AI in resource-constrained settings, such as Bangladesh.
The purpose of this study is to discover early biomarkers in circulating endothelial cells for diabetes complications, by investigating circulating endothelial cells in blood samples from patients with newly diagnosed proliferative diabetic retinopathy, newly diagnosed maculopathy, patients with diabetes without eye diseases, and individuals without diabetes by single-cell RNA sequencing. The single-cell RNA sequencing analysis will make it possible to fully phenotype diabetes circulating endothelial cells at single-cell level and reveal the first atlas of circulating endothelial cells in humans at both healthy and diabetes conditions.
This research study aims to bring an artificial intelligence system to screen for diabetic retinopathy (DR) along with referral tracking systems to the screening unit in Uthai Hospital in Phra Nakhon Sri Ayutthaya to assess the effectiveness of screening and follow-up of patients referred to Phra Nakhon Sri Ayutthaya Hospital. It will be compared with the existing screening system and follow up with regular referral by personnel
With the increasing incidence of proliferative diabetic retinopathy (PDR), subsequent neovascular glaucoma (NVG) has become one of the main causes of blindness in PDR patients, and the intraocular pressure of PDR patients with NVG is often stubborn. For these patients, not only is the effect of drugs in lowering intraocular pressure poor, but the results of surgery are often unsatisfactory. Because of its poor prognosis, clinical research for better strategy is of great significance in the current situation. At present, for such patients, a combination of effective control of intraocular pressure and treatment of the primary disease is often used. The purpose of this study was to investigate the clinical effects of preoperative with/without intraoperative anti-vascular endothelial growth factor (VEGF) drug therapy combined with pars plana vitrectomy (PPV), pan-retinal photocoagulation (PRP), and pressure-reducing valve implantation in patients with NVG secondary to PDR. Furthermore, the changes of neurotrophic factors in the vitreous humor before and after anti-VEGF treatment will be explored.