SynthesisJournal of Parkinson's disease2020
Gait Kinematic Parameters in Parkinson's Disease: A Systematic Review.
Synthesis in Journal of Parkinson's disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 4 of them syntheses that pooled it.
What it found
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Who cites it
39 citing papers in PubMed, 4 syntheses or guidelines pooled it, 71 citations in OpenAlex.
- Gait analysis methods in people with spinal cord injury: a systematic review.Journal of neuroengineering and rehabilitation · 2026Pooled it
- Pooled it
- Effects of HiBalance training program on physical function of individuals with idiopathic Parkinson disease: a systematic review and meta-analysis.European geriatric medicine · 2023Pooled it
- Repeated Gait Perturbation Training in Parkinson's Disease and Healthy Older Adults: A Systematic Review and Meta-Analysis.Frontiers in human neuroscience · 2021Pooled it
- The Role of Ecological and Complex Gait and Postural Tasks in the Assessment of Subtle Deficits in Parkinson's Disease.Healthcare (Basel, Switzerland) · 2026Article
- Validity of a Wearable Digital Insole for Assessing Gait ON and OFF in Parkinson's Disease.Annals of clinical and translational neurology · 2026Article
- Using explainable AI to identify disease-relevant and deep brain stimulation treatment-sensitive gait features in Parkinson's disease.Journal of neuroengineering and rehabilitation · 2026Article
- Creating and Evaluating a Prediction Equation for VO 2peak in Individuals with Early Stage, Never Medicated Parkinson's Disease.Medicine and science in sports and exercise · 2026Article
- Analyzing Gait Pattern Associated With Neuropsychiatric Symptoms in Parkinson's Disease by a Comprehensive Approach.IEEE journal of translational engineering in health and medicine · 2026Article
- Inter-segmental coordination patterns in Parkinson's disease are particularly disturbed during preferred walking speed: a data-driven network approach.Journal of neuroengineering and rehabilitation · 2025Article
- Dataset on Gait Analysis of Parkinsonian Subjects: Effect of Nordic Walking.Scientific data · 2025Article
- Multidimensional factors of health-related quality of life in parkinson's disease using ensemble learning and network analysis.Scientific reports · 2025Article
- Uncovering the Kinematic Signature of Freezing of Gait in Parkinson's Disease Through Wearable Inertial Sensors.Sensors (Basel, Switzerland) · 2025Article
- Pilot Study: Step Width Estimation with Body-Worn Magnetoelectric Sensors.Sensors (Basel, Switzerland) · 2025Article
- Clinical Assessment of Walking Capacity in People With Parkinson Disease: Are 2 Minutes Sufficient?Physical therapy · 2025Article
- Article
- Do the gait domains change in PD patients with freezing of gait during their 'interictal' period?BMC geriatrics · 2025Article
- Biomechanics Parameters of Gait Analysis to Characterize Parkinson's Disease: A Scoping Review.Sensors (Basel, Switzerland) · 2025Article
- Observational
- Lower-Limb Exoskeletons for Gait Training in Parkinson's Disease: The State of the Art and Future Perspectives.Healthcare (Basel, Switzerland) · 2024Review
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGait impairments are common and highly disabling for Parkinson's disease (PD) patients. With the development of technology-based tools, it is now possible to measure the spatiotemporal parameters of gait with a reduced margin of error, thereby enabling a more accurate characterization of impairment.
objectiveTo summarize and critically appraise the characteristics of technology-based gait analysis in PD and to provide mean and standard deviation values for spatiotemporal gait parameters.
methodsA systematic review was conducted using the databases CENTRAL, MEDLINE, Embase, and PEDro from their inception to September 2019 to identify all observational and experimental studies conducted in PD or atypical parkinsonism that included a technology-based gait assessment. Two reviewers independently screened citations and extracted data.
resultsWe included 95 studies, 82.1% (n = 78) reporting a laboratory gait assessment and 61.1% (n = 58 studies) using a wearable sensor. The most frequently reported parameters were gait velocity, stride and step length, and cadence. A statistically significant difference was found when comparing the mean values of each of these parameters in PD patients versus healthy controls. No statistically significant differences were found in the mean value of the parameters when comparing wearable versus non-wearable sensors, different types of wearable sensors, and different sensor locations.
conclusionOur results provide useful information for performing objective technology-based gait assessment in PD, as well as mean values to better interpret the results. Further studies should explore the clinical meaningfulness of each parameter and how they behave in a free-living context and throughout disease progression.
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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.