ArticleDiabetes care2011
Progression and regression: distinct developmental patterns of diabetic retinopathy in patients with type 2 diabetes treated in the diabetes care system west-friesland, the Netherlands.
Article in Diabetes care, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.
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Who cites it
26 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Prediction models for development of retinopathy in people with type 2 diabetes: systematic review and external validation in a Dutch primary care setting.Diabetologia · 2020Pooled it
- Incidence of sight-threatening diabetic retinopathy in people with Type 2 diabetes mellitus and numbers needed to screen: a systematic review.Diabetic medicine : a journal of the British Diabetic Association · 2019Pooled it
- The CTRB1/2 locus affects diabetes susceptibility and treatment via the incretin pathway.Diabetes · 2013Trial
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- Extending the diabetic retinopathy screening intervals in Singapore: methodology and preliminary findings of a cohort study.BMC public health · 2024Article
- Prognostic factors for the development and progression of proliferative diabetic retinopathy in people with diabetic retinopathy.The Cochrane database of systematic reviews · 2023Review
- Different Risk Profiles for Progression of Nonproliferative Diabetic Retinopathy: A 2-Year Study.Ophthalmology and therapy · 2023Article
- Great diversity in the utilization and reporting of latent growth modeling approaches in type 2 diabetes: A literature review.Heliyon · 2022Review
- Lutein Supplementation for Eye Diseases.Nutrients · 2020Review
- PRAGMATISM OF RANDOMIZED CLINICAL TRIALS ON RANIBIZUMAB FOR THE TREATMENT OF DIABETIC MACULAR EDEMA: Impact on Clinical Outcomes.Retina (Philadelphia, Pa.) · 2020Article
- Validation of automated screening for referable diabetic retinopathy with the IDx-DR device in the Hoorn Diabetes Care System.Acta ophthalmologica · 2018Article
- Article
- The Use of Antidepressants, Anxiolytics, and Hypnotics in People with Type 2 Diabetes and Patterns Associated with Use: The Hoorn Diabetes Care System Cohort.BioMed research international · 2017Article
- Uncovering heart failure with preserved ejection fraction in patients with type 2 diabetes in primary care: time for a change.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2016Review
- Article
- Yang Deficiency Body Constitution Acts as a Predictor of Diabetic Retinopathy in Patients with Type 2 Diabetes: Taichung Diabetic Body Constitution Study.Evidence-based complementary and alternative medicine : eCAM · 2015Article
- Validation of a model to estimate personalised screening frequency to monitor diabetic retinopathy.Diabetologia · 2014Article
- Level of A1C control and its predictors among Lebanese type 2 diabetic patients.Therapeutic advances in endocrinology and metabolism · 2014Article
- The 5-year onset and regression of diabetic retinopathy in Chinese type 2 diabetes patients.PloS one · 2014Article
- The Diabetes Pearl: Diabetes biobanking in The Netherlands.BMC public health · 2012Article
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9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo identify distinct developmental patterns of diabetic retinopathy (DR) and assess the risk factor levels of patients in these clusters. RESEARCH DESIGN AND
methodsA cohort of 3,343 patients with type 2 diabetes mellitus (T2DM) monitored and treated in the Diabetes Care System West-Friesland, the Netherlands, was followed from 2 to 6 years. Risk factors were measured, and two-field fundus photographs were taken annually and graded according to the EURODIAB study group. Latent class growth modeling was used to identify distinct developmental patterns of DR over time.
resultsFive clusters of patients with distinct developmental patterns of DR were identified: A, patients without any signs of DR (88.9%); B, patients with a slow regression from minimal background to no DR (4.9%); C, patients with a slow progression from minimal background to moderate nonproliferative DR (4.0%); D, patients with a fast progression from minimal or moderate nonproliferative to (pre)proliferative or treated DR (1.4%); and E, patients with persistent proliferative DR (0.8%). Patients in clusters A and B were characterized by lower risk factor levels, such as diabetes duration, HbA(1c), and systolic blood pressure compared with patients in progressive clusters (C-E).
conclusionsClusters of patients with T2DM with markedly different patterns of DR development were identified, including a cluster with regression of DR. These clusters enable a more detailed examination of the influence of various risk factors on DR.
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