ArticleStroke2019
Corticospinal Tract Injury Estimated From Acute Stroke Imaging Predicts Upper Extremity Motor Recovery After Stroke.
Article in Stroke, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
77 citing papers in PubMed, 1 synthesis or guideline pooled it, 118 citations in OpenAlex.
- Temporal Patterning of Neurofilament Light as a Blood-Based Biomarker for Stroke: A Systematic Review and Meta-Analysis.Frontiers in neurology · 2022Pooled it
- Electroacupuncture for Motor Recovery in Subacute Stroke: A Randomized Trial Exploring CReST-Related Modulation.Brain and behavior · 2026Trial
- Bilateral effect of acupuncture on cerebrum and cerebellum in ischaemic stroke patients with hemiparesis: a randomised clinical and neuroimaging trial.Stroke and vascular neurology · 2024Trial
- Toward Automation of Motor Assessments in Stroke: Proof-of-Concept Model to Interpret Balance and Gait in Patients With Stroke.Archives of rehabilitation research and clinical translation · 2026Article
- Accuracy of Machine Learning to Predict Upper-Limb Outcome Within the First 72 Hours Poststroke.Stroke · 2026Article
- Corticomuscular Coherence in Post-Stroke Motor Function and Recovery.Brain sciences · 2026Article
- Primary Somatosensory to Motor Cortex Microstructural Connectivity Predicts the Mu-Rhythm Phase Effect on Corticospinal Excitability: An EEG-TMS Study.Human brain mapping · 2026Article
- Optimizing the Approach to Calculating CST Lesion Load in Ischemic Stroke Patients for Understanding Motor Outcomes.Neurorehabilitation and neural repair · 2026Article
- Microfluidic platforms for probing spontaneous functional recovery in hierarchically modular neuronal networks.Communications engineering · 2026Article
- Patterns of Structural Disconnection Driving Proprioceptive Deficits in Chronic Stroke.Stroke · 2026Observational
- Prefrontal Hierarchical Control of Corticomuscular Coherence in Stroke.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2026Article
- Toward Precision Post-Stroke Rehabilitation Medicine: Integrating Molecular, Imaging, and Computational Biomarkers for Functional Outcome Prediction.Journal of clinical medicine · 2025Review
- Probabilistic normative maps of the corticospinal and cortico-reticulospinal tracts in streamline and volumetric formats.Journal of neuroscience methods · 2025Article
- Can machine learning improve on the early prediction of upper limb recovery after stroke?Journal of neuroengineering and rehabilitation · 2025Article
- Trial-By-Trial Variation In Upper Extremity Movement Smoothness After Acute Stroke Relates To Clinical Assessments And Corticospinal Tract Injury.Neurorehabilitation and neural repair · 2025Article
- Corticospinal Tract Displacement: A Novel Imaging Marker for Arm Recovery in Patients with Acute Hypertensive Intracerebral Hemorrhage.AJNR. American journal of neuroradiology · 2025Article
- Can EMG-Derived Upper Limb Muscle Synergies Serve as Markers for Post-Stroke Motor Assessment and Prediction of Rehabilitation Outcome?Sensors (Basel, Switzerland) · 2025Article
- Article
- Predictive utility of self-efficacy in early stroke rehabilitation.Topics in stroke rehabilitation · 2025Article
- Association Between Changes in White Matter Volume Detected With Diffusion Tensor-Based Morphometry and Motor Recovery After Stroke.Neurology · 2025Article
17 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 5 institutions in 2 countries.
Funding
Abstract
Background and Purpose- Injury to the corticospinal tract (CST) has been shown to have a major effect on upper extremity motor recovery after stroke. This study aimed to examine how well CST injury, measured from neuroimaging acquired during the acute stroke workup, predicts upper extremity motor recovery. Methods- Patients with upper extremity weakness after ischemic stroke were assessed using the upper extremity Fugl-Meyer during the acute stroke hospitalization and again at 3-month follow-up. CST injury was quantified and compared, using 4 different methods, from images obtained as part of the stroke standard-of-care workup. Logistic and linear regression were performed using CST injury to predict ΔFugl-Meyer. Injury to primary motor and premotor cortices were included as potential modifiers of the effect of CST injury on recovery. Results- N=48 patients were enrolled 4.2±2.7 days poststroke and completed 3-month follow-up (median 90-day modified Rankin Scale score, 3; interquartile range, 1.5). CST injury distinguished patients who reached their recovery potential (as predicted from initial impairment) from those who did not, with area under the curve values ranging from 0.70 to 0.8. In addition, CST injury explained ≈20% of the variance in the magnitude of upper extremity recovery, even after controlling for the severity of initial impairment. Results were consistent when comparing 4 different methods of measuring CST injury. Extent of injury to primary motor and premotor cortices did not significantly influence the predictive value that CST injury had for recovery. Conclusions- Structural injury to the CST, as estimated from standard-of-care imaging available during the acute stroke hospitalization, is a robust way to distinguish patients who achieve their predicted recovery potential and explains a significant amount of the variance in poststroke upper extremity motor recovery.
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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.