Trial reportStroke2019
Return to Employment After Stroke in Young Adults: How Important Is the Speed and Energy Cost of Walking?
Trial report in Stroke, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07014891 (A Study on Visual Feedback Motor Control Training Using Near-Infrared Spectroscopy), which is not on this map. Cited by 22 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.
A Study on Visual Feedback Motor Control Training Using Near-Infrared Spectroscopy (fNIRS) Brain Functional Imaging for Walking Function Recovery in Stroke Patients
Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.
- Effect of arm sling application on gait and balance in patients with post-stroke hemiplegia: a systematic review and meta-analysis.Scientific reports · 2021Pooled it
- Efficacy of an exoskeleton-based physical therapy program for non-ambulatory patients during subacute stroke rehabilitation: a randomized controlled trial.Journal of neuroengineering and rehabilitation · 2021Trial
- Estimating the indirect economic burden of elevated lipoprotein(a): A 5-year simulation of cardiovascular events and associated patient and caregiver costs.American journal of preventive cardiology · 2026Article
- Longitudinal characterization of gait and balance recovery over 1 year using instrumented analysis in a school-aged child with ischemic stroke: a case report.Journal of medical case reports · 2026Article
- Comparisons of Functional, Physical, and Mental Health Outcomes Among Young and Old Stroke Survivors.Geriatrics (Basel, Switzerland) · 2026Article
- Augmented Feedback in Post-Stroke Gait Rehabilitation Derived from Sensor-Based Gait Reports-A Longitudinal Case Series.Sensors (Basel, Switzerland) · 2025Article
- Functional electrical stimulation for walking in adults with cerebral palsy: a service evaluation.Journal of neuroengineering and rehabilitation · 2025Review
- Article
- Current understanding of stroke and stroke mimics in adolescents and young adults: a narrative review.International journal of emergency medicine · 2024Review
- One-year budget impact of InTandem™: a novel neurorehabilitation system for individuals with chronic stroke walking impairment.Journal of comparative effectiveness research · 2024Article
- Environmental Enrichment in Stroke Research: an Update.Translational stroke research · 2024Review
- Differences in kinetic factors affecting gait speed between lesion sides in patients with stroke.Frontiers in bioengineering and biotechnology · 2024Article
- Robot-assisted gait training in patients with various neurological diseases: A mixed methods feasibility study.PloS one · 2024Article
- Upper extremity training followed by lower extremity training with a brain-computer interface rehabilitation system.Frontiers in neuroscience · 2024Article
- Article
- A Contemporary Review of Epidemiology, Risk Factors, Etiology, and Outcomes of Premature Stroke.Current atherosclerosis reports · 2022Review
- Walking Speed Classification from Marker-Free Video Images in Two-Dimension Using Optimum Data and a Deep Learning Method.Bioengineering (Basel, Switzerland) · 2022Article
- Walking speed at the acute and subacute stroke stage: A descriptive meta-analysis.Frontiers in neurology · 2022Review
- Health-related quality of life profiles and their dimension-specific associated factors among Malaysian stroke survivors: a cross sectional study.Health and quality of life outcomes · 2021Article
- Using a Deep Learning Method and Data from Two-Dimensional (2D) Marker-Less Video-Based Images for Walking Speed Classification.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Purpose- A quarter of individuals who experience a stroke are under the age of 65 years (defined as young adults), and up to 44% will be unable to return to work poststroke, predominantly because of walking difficulties. No research study has comprehensively analyzed walking performance in young adult's poststroke. The primary aim of this study is to investigate how a stroke in young adults affects walking performance (eg, walking speed and metabolic cost) compared with healthy age-matched controls. The secondary aim is to determine the predictive ability of walking performance parameters for return to employment poststroke. Methods- Forty-six individuals (18-40 years: n=6, 41-54 years: n=21, 55-65 years: n=19) who have had a stroke and 15 healthy age-matched able-bodied controls were recruited from 6 hospital sites in Wales, United Kingdom. Type, location, cause of stroke, and demographic factors (eg, employment status) were recorded. Temporal and spatial walking parameters were measured using 3-dimensional gait analysis. Metabolic energy expenditure and metabolic cost of walking were captured during 3 minutes of walking at self-selected speed from measurements of oxygen consumption. Results- Stroke participants walked slower (
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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 OpenQuestion graph.