ArticleStroke2020
Electrocardiographic ST-T Abnormities Are Associated With Stroke Risk in the REGARDS 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 8 papers.
What it found
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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
8 citing papers in PubMed, 16 citations in OpenAlex.
- Isolated non-specific electrocardiographic ST-T abnormalities and risk of incident heart failure and its subtypes.Heart (British Cardiac Society) · 2026Article
- The Association Between Abnormal Electrocardiogram Findings and the Ankle Brachial Index.Medicina (Kaunas, Lithuania) · 2026Article
- Electrocardiogram markers predicting ischemic stroke after acute coronary syndrome.International journal of cardiology. Cardiovascular risk and prevention · 2025Article
- Association between isolated minor ST-segment and T wave changes with 10 years all-cause and stroke mortality.Scientific reports · 2025Article
- Electrocardiogram properties and risk of covert brain infarction and other magnetic resonance imaging abnormalities in a stroke-free population.Brain and behavior · 2023Article
- Non-specific electrocardiographic ST-T abnormalities predict mortality in patients on peritoneal dialysis.Frontiers in cardiovascular medicine · 2022Article
- Effect of Cerebral Ischemic Strokes in Different Cerebral Artery Regions on Left Ventricular Function.Frontiers in cardiovascular medicine · 2022Article
- Holter parameters score predicts prognosis in patients with acute ischemic stroke: A prospective cohort study.Brain circulationArticle
Corrections and comments
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Authors and funding
11 authors at 5 institutions in 2 countries.
Funding
Abstract
Background and Purpose- In previous studies, isolated nonspecific ST-segment and T-wave abnormalities (NSSTTAs), a common finding on ECGs, were associated with greater risk for incident coronary artery disease. Their association with incident stroke remains unclear. Methods- The REGARDS (Reasons for Geographic and Racial Differences in Stroke) study is a population-based, longitudinal study of 30 239 white and black adults enrolled from 2003 to 2007 in the United States. NSSTTAs were defined from baseline ECG using the standards of Minnesota ECG Classification (Minnesota codes 4-3, 4-4, 5-3, or 5-4). Participants with prior stroke, coronary heart disease, and major and minor ECG abnormalities other than NSSTTAs were excluded from analysis. Multivariable Cox proportional hazards regression was used to examine calculate hazard ratios of incident ischemic stroke by presence of baseline NSSTTAs. Results- Among 14 077 participants, 3111 (22.1%) had NSSTTAs at baseline. With a median of 9.6 years follow-up, 106 (3.4%) with NSSTTAs had ischemic stroke compared with 258 (2.4%) without NSSTTAs. The age-adjusted incidence rates (per 1000 person-years) of stroke were 2.93 in those with NSSTTAs and 2.19 in those without them. Adjusting for baseline age, sex, race, geographic location, and education level, isolated NSSTTAs were associated with a 32% higher risk of ischemic stroke (hazard ratio, 1.32 [95% CI, 1.05-1.67]). With additional adjustment for stroke risk factors, the risk of stroke was increased 27% (hazard ratio, 1.27 [95% CI, 1.00-1.62]) and did not differ by age, race, or sex. Conclusions- Presence of NSSTTAs in persons with an otherwise normal ECG was associated with a 27% increased risk of future ischemic stroke.
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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.