ArticleSensors (Basel, Switzerland)2021
Step Length Is a Promising Progression Marker in Parkinson's Disease.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.
- Pooled it
- Spatio-temporal gait signatures across prodromal and early Parkinson's disease in two independent cohorts.Scientific reports · 2026Article
- Sensor-Derived Parameters from Standardized Walking Tasks Can Support the Identification of Patients with Parkinson's Disease at Risk of Gait Deterioration.Bioengineering (Basel, Switzerland) · 2026Article
- Article
- Examining the Influence of Task Complexity on Dual-Task Performance in Parkinson's Disease and Healthy Older Adults.Neuro-degenerative diseases · 2026Article
- Can neurologic music therapy make the difference when using immersive virtual reality in Parkinson disease motor training? Promising findings from a secondary analysis.Frontiers in rehabilitation sciences · 2026Article
- Balance and biomechanics: exploring lower extremity biomechanics in Parkinson's disease.Irish journal of medical science · 2025Article
- Impact of forward and backward walking on gait parameters across parkinson's disease stages and severity: a prospective observational study.BMC neurology · 2025Observational
- Extensive digital health technology assessment detects subtle motor impairment in mild and asymptomatic Pompe disease.Scientific reports · 2025Article
- Objective monitoring of motor symptom severity and their progression in Parkinson's disease using a digital gait device.Scientific reports · 2025Article
- Effects of virtual reality on spatiotemporal gait parameters and freezing of gait in Parkinson's disease.NPJ Parkinson's disease · 2025Article
- Blending motor learning approaches for short-term adjustments to gait in people with Parkinson disease.Experimental brain research · 2024Article
- Adjustability of Gait Speed in Clinics and Free-Living Environments for People With Parkinson's Disease.Journal of movement disorders · 2024Article
- Motion-BIDS: an extension to the brain imaging data structure to organize motion data for reproducible research.Scientific data · 2024Article
- A wearable sensor and machine learning estimate step length in older adults and patients with neurological disorders.NPJ digital medicine · 2024Article
- Characterization of Walking in Mild Parkinson's Disease: Reliability, Validity and Discriminant Ability of the Six-Minute Walk Test Instrumented with a Single Inertial Sensor.Sensors (Basel, Switzerland) · 2024Article
- Complexities and challenges of translating intervention success to real world gait in people with Parkinson's disease.Frontiers in neurology · 2024Review
- Clinical and device-based predictors of improved experience of activities of daily living after a multidisciplinary inpatient treatment for people with Parkinson's disease: a cohort study.Therapeutic advances in neurological disorders · 2024Article
- The Executive-Function-Related Cognitive-Motor Dual Task Walking Performance and Task Prioritizing Effect on People with Parkinson's Disease.Healthcare (Basel, Switzerland) · 2023Article
- Predicting the fatigue in Parkinson's disease using inertial sensor gait data and clinical characteristics.Frontiers in neurology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Current research on Parkinson's disease (PD) is increasingly concerned with the identification of objective and specific markers to make reliable statements about the effect of therapy and disease progression. Parameters from inertial measurement units (IMUs) are objective and accurate, and thus an interesting option to be included in the regular assessment of these patients. In this study, 68 patients with PD (PwP) in Hoehn and Yahr (H&Y) stages 1-4 were assessed with two gait tasks-20 m straight walk and circular walk-using IMUs. In an ANCOVA model, we found a significant and large effect of the H&Y scores on step length in both tasks, and only a minor effect on step time. This study provides evidence that from the two potentially most important gait parameters currently accessible with wearable technology under supervised assessment strategies, step length changes substantially over the course of PD, while step time shows surprisingly little change in the progression of PD. These results show the importance of carefully evaluating quantitative gait parameters to make assumptions about disease progression, and the potential of the granular evaluation of symptoms such as gait deficits when monitoring chronic progressive diseases such as PD.
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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.