Back to search

Article

Who Falls After Stroke? Evidence From a Prospective Stroke Cohort

2026-01-11

Abstract excerpt

<h4>Background</h4> Falls are a frequent and serious complication after stroke, affecting more than 30% of survivors within the first year. While age and comorbidities are established risk factors for falls, stroke-specific contributors—particularly lesion-related impairments in mobility and gait—are less well understood and may inform targeted secondary prevention. <h4>Methods</h4> We analyzed data from 94 pati...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
0d6a543c-7924-58d4-8901-7ca788574d4c
DOI
10.64898/2026.01.08.26343741
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Who Falls After Stroke? Evidence From a Prospective Stroke CohortDOI 10.64898/2026.01.08.26343741
Dynamic connectivity predicts acute motor impairment and recovery post-strokeSemantic proximity
Classification of postural control characteristics during quiet standing in patients with subacute stroke and their association with lesion networksSemantic proximity
Towards individualized Medicine in Stroke – the TiMeS project: protocol of longitudinal, multi-modal, multi-domain study in strokeSemantic proximity
Distinct Patterns of Mobility Recovery After Stroke Using Routine Clinical DataSemantic proximity
Data-driven biomarkers outperform theory-based biomarkers in predicting stroke motor outcomesSemantic proximity
Patterns of Structural Disconnection Driving Proprioceptive Deficits After StrokeSemantic proximity
Identifying Key Gait Features in Stroke Patients: A Machine Learning Approach with Supervised and Unsupervised ValidationSemantic proximity
Spatio-temporal Gait Parameters in Older Patients: Comparaison of a Hospitalized Population of Fallers and Non-fallersSemantic proximity
The Relationship Between Spatio-temporal Gait Parameters and Cognitive Function: Protocol for a Cross-sectional StudySemantic proximity
Clinical phenotypes of patients with acute stroke: a secondary analysis.Semantic proximity
Sensor-Based Classification of Post-Stroke Motor Impairment Using Fugl-Meyer Lower Extremity ScoresSemantic proximity
Unravelling stroke gait deviations with movement analytics, more than meets the eye: a case control studySemantic proximity
Select a neighboring publication to make it the new centre.