ArticlePloS one2015
Predicting recovery of voluntary upper extremity movement in subacute stroke patients with severe upper extremity paresis.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis 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
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Effect of various acupuncture courses for upper limb motor dysfunction after ischemic stroke: a Bayesian network meta-analysis.Frontiers in aging neuroscience · 2025Pooled it
- Effects of Motor Imagery Training Based on Near-Infrared Functional Brain Imaging on Upper Limb Function in Stroke Patients: A Randomized Controlled Trial.Brain topography · 2026Trial
- May Dual Transcranial Direct Current Stimulation Enhance the Efficacy of Robot-Assisted Therapy for Promoting Upper Limb Recovery in Chronic Stroke?Neurorehabilitation and neural repair · 2022Trial
- Music meets robotics: a prospective randomized study on motivation during robot aided therapy.Journal of neuroengineering and rehabilitation · 2018Trial
- Article
- A multimodal machine learning approach to predict Fugl-Meyer scores and motor recovery potential in stroke rehabilitation: Toward precision-based therapies.Information sciences · 2025Article
- Article
- Can EMG-Derived Upper Limb Muscle Synergies Serve as Markers for Post-Stroke Motor Assessment and Prediction of Rehabilitation Outcome?Sensors (Basel, Switzerland) · 2025Article
- Design of a Multi-Sensor System for Exploring the Relation between Finger Spasticity and Voluntary Movement in Patients with Stroke.Sensors (Basel, Switzerland) · 2022Article
- Using Machine Learning to Develop a Short-Form Measure Assessing 5 Functions in Patients With Stroke.Archives of physical medicine and rehabilitation · 2022Article
- Precision medicine in stroke: towards personalized outcome predictions using artificial intelligence.Brain : a journal of neurology · 2022Review
- Brain's Energy After Stroke: From a Cellular Perspective Toward Behavior.Frontiers in integrative neuroscience · 2022Article
- Easily Conducted Tests During the First Week Post-stroke Can Aid the Prediction of Arm Functioning at 6 Months.Frontiers in neurology · 2019Article
- Resting-State Functional Connectivity Magnetic Resonance Imaging and Outcome After Acute Stroke.Stroke · 2018Article
- Diffusion tensor imaging as a prognostic biomarker for motor recovery and rehabilitation after stroke.Neuroradiology · 2017Review
- Ten problems and solutions when predicting individual outcome from lesion site after stroke.NeuroImage · 2017Review
- Interhemispheric Pathways Are Important for Motor Outcome in Individuals with Chronic and Severe Upper Limb Impairment Post Stroke.Neural plasticity · 2017Article
- Prediction of Walking and Arm Recovery after Stroke: A Critical Review.Brain sciences · 2016Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
objectivePrediction of voluntary upper extremity (UE) movement recovery is largely unknown in patients with little voluntary UE movement at admission. The present study aimed to investigate (1) the extent and variation of voluntary UE movement recovery, and (2) the best predictive model of the recovery of voluntary UE movement by clinical variables in patients with severe UE paresis.
designProspective cohort study.
methods140 (out of 590) stroke patients with severe UE paresis completed all assessments. Voluntary UE movement was assessed using the UE subscale of the Stroke Rehabilitation Assessment of Movement (STREAM-UE). Two outcome measures, STREAM-UE scores at discharge (DC(STREAM-UE)) and changes between admission and discharge (Δ(STREAM-UE)), were investigated to represent the final states and improvement of the recovery of voluntary UE movement. Stepwise regression analyses were used to investigate 19 clinical variables and to find the best predictive models of the two outcome measures.
resultsThe participants showed wide variation in both DC(STREAM-UE) and Δ(STREAM-UE). 3.6% of the participants almost fully recovered at discharge (DC(STREAM-UE) > 15). A large improvement (Δ(STREAM-UE) >= 10) occurred in 16.4% of the participants, while 32.9% of the participants did not have any improvement. The four predictors for the DC(STREAM-UE) (R(2) = 35.0%) were 'baseline STREAM-UE score', 'hemorrhagic stroke', 'baseline National Institutes of Health Stroke Scale (NIHSS) score', and 'cortical lesion excluding primary motor cortex'. The three predictors for the Δ(STREAM-UE) (R(2) = 22.0%) were 'hemorrhagic stroke', 'baseline NIHSS score', and 'cortical lesion excluding primary motor cortex'.
conclusionsRecovery of voluntary UE movement varied widely in patients with severe UE paresis after stroke. The predictive power of clinical variables was poor. Both results indicate the complex nature of voluntary UE movement recovery in patients with severe UE paresis after stroke.
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