ArticleStroke2020
Diabetic Retinopathy and Risk of Stroke: A Secondary Analysis of the ACCORD Eye Study.
Article in Stroke, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.
- Meta-analysis of the association between retinopathy and the risk of stroke.Frontiers in medicine · 2026Pooled it
- Diabetic kidney disease and risk of incident stroke among adults with type 2 diabetes.BMC medicine · 2022Trial
- Diabetic cerebral microvascular disorder: from key pathologies to targeted interventions.Annals of medicine · 2026Review
- Retinal microvascular changes on retinal photographs for predicting stroke recurrence: a systematic review and meta-analysis.Eye (London, England) · 2026Article
- Association of SGLT2 Inhibitor With Stroke in Type 2 Diabetes With Diabetic Retinopathy: A Multicenter Electronic Health Record Data Study.Diabetes, obesity & metabolism · 2026Article
- Relationship between apolipoprotein M levels and diabetic retinopathy in patients with type 2 diabetes mellitus.Frontiers in endocrinology · 2026Article
- Interpreting Deep Neural Networks in Diabetic Retinopathy Grading: A Comparison with Human Decision Criteria.Life (Basel, Switzerland) · 2025Article
- Brain white matter microstructural alterations in patients with diabetic retinopathy: an automated fiber-tract quantification study.Quantitative imaging in medicine and surgery · 2025Article
- Relationships Between Retinal Vascular Characteristics and Systemic Indicators in Patients With Diabetes Mellitus.Investigative ophthalmology & visual science · 2025Article
- Deep-learning prediction of cardiovascular outcomes from routine retinal images in individuals with type 2 diabetes.Cardiovascular diabetology · 2025Article
- Incidence of Diabetic Retinopathy in Individuals with Type 2 Diabetes: A Study Using Real-World Data.Journal of clinical medicine · 2024Article
- Stroke incidence increases with diabetic retinopathy severity and macular edema in type 1 diabetes.Cardiovascular diabetology · 2024Observational
- The association in diabetic retinopathy and stroke finding from NHANES evidence.International ophthalmology · 2024Article
- Aberrant Modular Segregation of Brain Networks in Patients with Diabetic Retinopathy.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024Article
- Visual impairment and major eye diseases in stroke: a national cross-sectional study.Eye (London, England) · 2023Article
- Developing and Validating Models to Predict Progression to Proliferative Diabetic Retinopathy.Ophthalmology science · 2023Article
- Cardiac autonomic dysfunction and risk of incident stroke among adults with type 2 diabetes.European stroke journal · 2023 · on this mapArticle
- DETECT: Feature extraction method for disease trajectory modeling in electronic health records.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2023Article
- Blood flow perfusion in visual pathway detected by arterial spin labeling magnetic resonance imaging for differential diagnosis of ocular ischemic syndrome.Frontiers in neuroscience · 2023Article
- Predicting the severity of white matter lesions among patients with cerebrovascular risk factors based on retinal images and clinical laboratory data: a deep learning study.Frontiers in neurology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
Abstract
background and purposeDiabetic retinopathy (DR) is a common microvascular complication of diabetes, which causes damage to the retina and may lead to rapid vision loss. Previous research has shown that the macrovascular complications of diabetes, including stroke, are often comorbid with DR. We sought to explore the association between DR and subsequent stroke events.
methodsThis is a secondary analysis of patients enrolled in the ACCORD Eye study (Action to Control Cardiovascular Risk in Diabetes). The primary outcome was stroke during follow-up. The exposure was presence of DR at study baseline. We fit adjusted Cox proportional hazards models to provide hazard ratios for stroke and included interaction terms with the ACCORD randomization arms.
resultsWe included 2828 patients, in whom the primary outcome of stroke was met by 117 (4.1%) patients during a mean (SD) of 5.4 (1.8) years of follow-up. DR was present in 874 of 2828 (30.9%) patients at baseline and was more common in patients with than without incident stroke (41.0% versus 30.5%;
conclusionsDR is associated with an increased risk of stroke, which suggests that the microvascular pathology inherent to DR has larger cerebrovascular implications. This association appears not to be mediated by serum glucose, lipid, and blood pressure interventions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.