ArticleJournal of stroke and cerebrovascular diseases : the official journal of National Stroke Association2015
Determinants of white matter hyperintensity burden differ at the extremes of ages of ischemic stroke onset.
Article in Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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
14 citing papers in PubMed.
- Article
- Quantifying brain health in acute ischemic stroke through effective reserve.medRxiv : the preprint server for health sciences · 2024Article
- Risk factors analysis according to regional distribution of white matter hyperintensities in a stroke cohort.European radiology · 2022Observational
- White matter hyperintensity burden in acute stroke patients differs by ischemic stroke subtype.Neurology · 2020Article
- Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation.Medical image analysis · 2020Review
- Prospectively Collected Cardiovascular Biomarkers and White Matter Hyperintensity Volume in Ischemic Stroke Patients.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2020Observational
- Proceedings from the Albert Charitable Trust Inaugural Workshop on white matter and cognition in aging.GeroScience · 2020Review
- Patient-specific Conditional Joint Models of Shape, Image Features and Clinical Indicators.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2019Article
- Prospectively collected lifestyle and health information as risk factors for white matter hyperintensity volume in stroke patients.European journal of epidemiology · 2019Article
- White matter hyperintensity quantification in large-scale clinical acute ischemic stroke cohorts - The MRI-GENIE study.NeuroImage. Clinical · 2019Article
- Spatial Signature of White Matter Hyperintensities in Stroke Patients.Frontiers in neurology · 2019Article
- Insulin resistance in ischemic stroke.Metabolic brain disease · 2017Review
- Interaction of APOE e4 and poor glycemic control predicts white matter hyperintensity growth from 73 to 76.Neurobiology of aging · 2017Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
backgroundAge is a well-known risk factor for both stroke and increased burden of white matter hyperintensity (WMH), as detected on magnetic resonance imaging (MRI) scans. However, in patients diagnosed with ischemic stroke (IS), WMH volume (WMHv) varies significantly across age groups. We sought to examine the determinants of WMH burden across the ages of stroke onset with the goal to uncover potential age-specific stroke prevention targets.
methodsAdult subjects from an ongoing hospital-based cohort study of IS patients with admission brain MRI were categorized as having early (<55 years), late (>75 years), or average (55-75 years) age of stroke onset. WMHv was measured using a previously validated, MRI-based semi-automated method and normalized for linear regression analyses.
resultsOf 1008 IS subjects, 249 had early-onset stroke (24.7%), and 311 had late-onset stroke (30.9%). In multivariable analysis of WMHv using backward stepwise selection, only age (β = .02, P = .018), hypertension (β = .24, P = .049), and history of tobacco use (β = .38, P = .001) were independently associated with WMHv in patients with early-onset stroke, whereas male sex (β = -.30, P = .007), hyperlipidemia (β = -.27, P = .015), and current alcohol use (β = .23, P = .034) were independently associated with WMHv in patients with late-onset stroke.
conclusionsHistory of tobacco use is a strong independent predictor of WMH burden in patients with early-onset stroke, whereas age is no longer associated with WMHv in IS patients older than 75 years of age. These findings suggest that the major risk factors to target for stroke prevention differ across age groups and may be modifiable.
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.