ArticleScientific reports2024
Characteristics of limb kinematics in the gait disorders of post-stroke patients.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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
9 citing papers in PubMed.
- Identification of Gait Patterns Associated with Paretic Propulsion and Velocity in Community-Dwelling Individuals with Stroke: A Multicenter Retrospective Study.Annals of biomedical engineering · 2026Article
- Relationship between anterior-posterior ground reaction force patterns and immediate effect of different types of ankle-foot orthoses in individuals with post-stroke hemiparesis: a cross-sectional study.Journal of neuroengineering and rehabilitation · 2026Article
- Article
- May Patients with Chronic Stroke Benefit from Robotic Gait Training with an End-Effector? A Case-Control Study.Journal of functional morphology and kinesiology · 2025Article
- Article
- Post-stroke Stiff-Knee gait: are there different types or different severity levels?Journal of neuroengineering and rehabilitation · 2025Article
- Identifying impairments and compensatory strategies for temporal gait asymmetry in post-stroke persons.Scientific reports · 2025Article
- Biomechanical Gait Analysis Using a Smartphone-Based Motion Capture System (OpenCap) in Patients with Neurological Disorders.Bioengineering (Basel, Switzerland) · 2024Article
- Analyzing gait data measured by wearable cyborg hybrid assistive limb during assisted walking: gait pattern clustering.Frontiers in medical technology · 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
8 authors.
Funding
Abstract
Post-stroke gait disorders involve altered lower limb kinematics. Recently, the endpoint of the lower limb has been used as a control variable to understand gait kinematics better. In a cross-sectional study of sixty-seven post-stroke patients, the limb extension angle and effective limb length during gait were used as input variables with a mixed Gaussian model-based probabilistic clustering approach to identify five distinct clusters. Each cluster had unique characteristics related to motor paralysis, spasticity, balance ability, and gait strategy. Cluster 1 exhibited high limb extension angle and length values, indicating increased spasticity. Cluster 2 had moderate extension angles and high limb lengths, indicating increased spasticity and reduced balance ability. Cluster 3 had low limb extension angles and high limb length, indicating reduced balance ability, more severe motor paralysis, and increased spasticity. Cluster 4 demonstrated high extension angles and short limb lengths, with a gait strategy that prioritized stride length in the component of gait speed. Cluster 5 had moderate extension angles and short limb lengths, with a gait strategy that prioritized cadence in the component of gait speed. These findings provide valuable insights into post-stroke gait impairment and can guide the development of personalized and effective rehabilitation strategies.
Indexed as
Identifiers
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.