ArticleStroke2025
Impact of Conventional Stroke Risk Factors on Early- and Late-Onset Ischemic Stroke: A Mendelian Randomization Study.
Article in Stroke, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The efficacy and safety of Fuzheng traditional Chinese medicine injections in the treatment of acute ischemic stroke: a systematic review and network meta-analysis.Frontiers in pharmacology · 2025Pooled it
- A Voxel-Wise T2 Distribution Framework for Lesion Severity Stratification and Treatment-Response Assessment in Stroke: Insights Into Suberoylanilide Hydroxamic Acid-Induced Neuroprotection.Magnetic resonance in medicine · 2026Article
- Identification of Plasma Protein Biomarkers for Early-Onset Stroke through Mendelian Randomization.medRxiv : the preprint server for health sciences · 2026Article
- ESO annual stroke evidence update 2025.European stroke journal · 2026Review
- Experiences of Young and Middle-Aged Stroke Patients with Hemiplegia Who Actively Participate in Rehabilitation Exercises and Their Perceptions of Well-Being: A Descriptive Qualitative Study.Risk management and healthcare policy · 2025Article
Corrections and comments
- Update of
Authors and funding
15 authors.
Funding
Abstract
backgroundStroke incidence is decreasing in older ages but increasing in young adults. These divergent trends are at least partially attributable not only to diverging trends in stroke risk factors but may also be due to differences in the impact of stroke risk factors at different ages. To address this latter possibility, we used Mendelian randomization to assess differences in the association of stroke risk factors between early-onset ischemic stroke ([EOS]; onset 18-59 years) and late-onset ischemic stroke ([LOS]; onset ≥60 years).
methodsWe identified genetic variants from the GWAS Catalog for use as instrumental variables to proxy conventional stroke risk factors and then estimated the effects of these variants on risk factors in younger and older individuals in the UK Biobank. We then used these estimates to estimate the causal effects of stroke risk factors on EOS (n=6728 cases) and LOS (n=9272) cases from SiGN (Stroke Genetic Network) and the EOSC (Early-Onset Stroke Consortium). Lastly, we compared odds ratios between EOS and LOS, stratified by TOAST (Trial of ORG 10172 in Acute Stroke Treatment) subtypes, to determine if differences between estimates could be attributed to differences in stroke subtype distributions.
resultsEOS was associated with higher levels of body mass index, blood pressure, type 2 diabetes, and lower levels of HDL (high-density lipoprotein) cholesterol (all
conclusionsThese results support a causal relationship between body mass index, blood pressure, type 2 diabetes, and HDL cholesterol levels with EOS and blood pressure levels in LOS. Interventions that target these traits may reduce stroke risk.
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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 Socratic graph.