ArticleCerebrovascular diseases extra2017
MRI-Based Neuroanatomical Predictors of Dysphagia, Dysarthria, and Aphasia in Patients with First Acute Ischemic Stroke .
Article in Cerebrovascular diseases extra, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 6 of them syntheses that pooled it.
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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.
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Who cites it
35 citing papers in PubMed, 6 syntheses or guidelines pooled it, 62 citations in OpenAlex.
- Meta-analysis and systematic review of the relationship between sex and the risk or incidence of poststroke aphasia and its types.BMC geriatrics · 2024Pooled it
- Prevalence, risk factors, and outcomes of dysphagia after stroke: a systematic review and meta-analysis.Frontiers in neurology · 2024Pooled it
- Neuroanatomical regions associated with non-progressive dysarthria post-stroke: a systematic review.BMC neurology · 2022Pooled it
- Risk factors of dysphagia in patients with ischemic stroke: A meta-analysis and systematic review.PloS one · 2022Pooled it
- Clinical presentation of strokes confined to the insula: a systematic review of literature.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2021Pooled it
- The Role of White Matter in the Neural Control of Swallowing: A Systematic Review.Frontiers in human neuroscience · 2021Pooled it
- Effect of an Oral Health Programme on Oral Health, Oral Intake, and Nutrition in Patients with Stroke and Dysphagia in Taiwan: A Randomised Controlled Trial.International journal of environmental research and public health · 2019Trial
- Development and Validation of a Nomogram Model for Predicting the Severity of Post-Stroke Dysphagia Based on fNIRS-Derived Brain Functional Connectivity Features.Brain and behavior · 2026Article
- Behavioural Swallowing Interventions for Persons with Ataxic Etiologies: A Systematic Review.Dysphagia · 2026Article
- Symptom clustering of old adult dysphagic patient phenotypes by unsupervised machine learning using multidimensional characteristics: a cross-sectional study.BMC geriatrics · 2026Article
- Interpretable machine learning for accessible dysphagia screening and staging in older adults.iScience · 2026Article
- Post-stroke dysphagia across the care continuum: a full-cycle framework for rehabilitation, supportive care, and community follow-up.Frontiers in neurology · 2026Review
- A severity-anchored, patient-reported outcome framework for clinical trials in post-stroke dysphagia.Frontiers in neurology · 2026Article
- White Matter Microstructural Correlates of Swallowing Biomechanics: An Exploratory Pilot Study in Healthy Young Adults.Dysphagia · 2025Article
- Diffusion Tensor Tractography Studies for Causes of Dysphagia After Stroke: A Systematic Review.Brain sciences · 2025Review
- A Case Presentation in Management of Dysphagia and Dysarthria Caused due to Organophosphorus and Carbamate Insecticide Poisoning.Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India · 2024Article
- Review
- Cerebral small vessel disease is an independent determinant of dysphagia after acute stroke.NeuroImage. Clinical · 2024Observational
- Cerebral Small Vessel Disease Burden: An Independent Biomarker for Anomia Treatment Responsiveness in Chronic Stroke Patients With Aphasia.Archives of physical medicine and rehabilitation · 2023Article
- Use of the EXOPULSE Mollii for severe ataxia in an adult male 4 months after cardiac arrest.BMJ case reports · 2023Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDue to the high post-stroke frequency of dysphagia, dysarthria, and aphasia, we developed comprehensive neuroanatomical, clinical, and demographic models to predict their presence after acute ischemic stroke.
methodsThe sample included 160 randomly selected first-ever stroke patients with confirmed infarction on magnetic resonance imaging from 1 tertiary stroke center. We documented acute lesions within 12 neuroanatomical regions and their associated volumes. Further, we identified concomitant chronic brain disease, including atrophy, white matter hyperintensities, and covert strokes. We developed predictive models using logistic regression with odds ratios (OR) and their 95% confidence intervals (95% CI) including demographic, clinical, and acute and chronic neuroanatomical factors.
resultsPredictors of dysphagia included medullary (OR 6.2, 95% CI 1.5-25.8), insular (OR 4.8, 95% CI 2.0-11.8), and pontine (OR 3.6, 95% CI 1.2-10.1) lesions, followed by brain atrophy (OR 3.0, 95% CI 1.04-8.6), internal capsular lesions (OR 2.9, 95% CI 1.2-6.6), and increasing age (OR 1.4, 95% CI 1.1-1.8). Predictors of dysarthria included pontine (OR 7.8, 95% CI 2.7-22.9), insular (OR 4.5, 95% CI 1.8-11.4), and internal capsular (OR 3.6, 95% CI 1.6-7.9) lesions. Predictors of aphasia included left hemisphere insular (OR 34.4, 95% CI 4.2-283.4), thalamic (OR 6.2, 95% CI 1.6-24.4), and cortical middle cerebral artery (OR 4.7, 95% CI 1.5-14.2) lesions.
conclusionPredicting outcomes following acute stroke is important for treatment decisions. Determining the risk of major post-stroke impairments requires consideration of factors beyond lesion localization. Accordingly, we demonstrated interactions between localized and global brain function for dysphagia and elucidated common lesion locations across 3 debilitating impairments. .
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