ArticleFrontiers in physiology2022
Biomechanical Correlates of Falls Risk in Gait Impaired Stroke Survivors.
Article in Frontiers in physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- [Gait Training Using Robotic Devices in Subjects With Stroke: An Overview of Systematic Reviews and Meta-analysis].Revista de neurologia · 2026Pooled it
- Effects of multi-sensory virtual reality training on gait adaptability and somatomotor network remodeling in patients with stroke: a randomized controlled trial.Journal of neuroengineering and rehabilitation · 2026Trial
- Portable hip exoskeleton improves walking economy for stroke survivors.Nature communications · 2026Article
- Assessment of Fall Risk in Neurological Disorders and Technology: Relationship Between Silver Index and Gait Analysis.Sensors (Basel, Switzerland) · 2026Article
- Intention-driven ankle exoskeleton training acutely alters swing foot clearance distribution: a preliminary study.Frontiers in neurorobotics · 2026Article
- Article
- Characteristics of Ground Reaction Force Variability During Walking in Post-Stroke Patients.Sensors (Basel, Switzerland) · 2025Article
- Autonomous Powered Ankle Exoskeleton Improves Foot Clearance and Knee Hyperextension After Stroke: A Case Study.IEEE transactions on medical robotics and bionics · 2025Article
- Early adherence to biofeedback training predicts long-term improvement in stroke patients: A machine learning approach.PloS one · 2025Article
- Application of Isokinetic Dynamometry Data in Predicting Gait Deviation Index Using Machine Learning in Stroke Patients: A Cross-Sectional Study.Sensors (Basel, Switzerland) · 2024Observational
- Predicting improvement in biofeedback gait training using short-term spectral features from minimum foot clearance data.Frontiers in bioengineering and biotechnology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Increased falls risk is prevalent among stroke survivors with gait impairments. Tripping is the leading cause of falls and it is highly associated with mid-swing Minimum Foot Clearance (MFC), when the foot's vertical margin from the walking surface is minimal. The current study investigated MFC characteristics of post-stroke individuals (
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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.