ArticleParkinson's disease2012
Confirmatory factor analysis of the motor unified Parkinson's disease rating scale.
Article in Parkinson's disease, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Predictive Models for Motor Outcomes From Deep Brain Stimulation in Parkinson's Disease: A Systematic Review.The European journal of neuroscience · 2026Pooled it
- Combination therapy of levodopa with safinamide is more effective than with rasagiline and zonisamide in Asian Parkinson's disease patients with motor fluctuations: a systematic review and network meta-analysis of randomized controlled trials.Journal of neurology · 2026Pooled it
- A Hypothesis-Generating Pharmacologic Profile for Sargramostim Treatment of Parkinson's Disease.Cellular and molecular neurobiology · 2026Trial
- Factors Associated With Ambulatory Activity in De Novo Parkinson Disease.Journal of neurologic physical therapy : JNPT · 2017Trial
- Non-motor symptoms burden and motor recovery following STN-DBS in Parkinson's disease: a data-driven longitudinal analysis.Journal of neurology · 2026Article
- Differential associations between tongue pressure and handgrip strength with MDS-UPDRS part III motor symptoms in Parkinson's disease.Frontiers in neurology · 2026Observational
- Wavelet-Based Tremor Quantification From Wrist-Worn Sensor Data in Home-Dwelling People With Parkinson's Disease.IEEE journal of translational engineering in health and medicine · 2026Article
- Cutting-edge transformer-based deep learning for Parkinson's disease diagnosing using multimodal hand-drawing and handwriting analysis.AIMS neuroscience · 2026Article
- Article
- Comparison of clinical measures of motor function with a Holter monitor in Parkinson's disease.Clinical parkinsonism & related disorders · 2025Article
- Association between body mass index and glymphatic function using diffusion tensor image-along the perivascular space (DTI-ALPS) in patients with Parkinson's disease.Quantitative imaging in medicine and surgery · 2024Article
- Utilizing deep learning models in an intelligent spiral drawing classification system for Parkinson's disease classification.Frontiers in medicine · 2024Article
- End-to-End Deep Learning Method for Detection of Invasive Parkinson's Disease.Diagnostics (Basel, Switzerland) · 2023Article
- A Digital Architecture for the Real-Time Tracking of Wearing off Phenomenon in Parkinson's Disease.Sensors (Basel, Switzerland) · 2022Article
- Identifying Depression in Parkinson's Disease by Using Combined Diffusion Tensor Imaging and Support Vector Machine.Frontiers in neurology · 2022Article
- Ensemble deep model for continuous estimation of Unified Parkinson's Disease Rating Scale III.Biomedical engineering online · 2021Article
- Towards motor evaluation of Parkinson's Disease Patients using wearable inertial sensors.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2020Article
- Polymorphism of the Dopa-Decarboxylase Gene Modifies the Motor Response to Levodopa in Chinese Patients With Parkinson's Disease.Frontiers in neurology · 2020Article
- Levodopa Changes Functional Connectivity Patterns in Subregions of the Primary Motor Cortex in Patients With Parkinson's Disease.Frontiers in neuroscience · 2020Article
- Functional and Brain Activation Changes Following Specialized Upper-Limb Exercise in Parkinson's Disease.Frontiers in human neuroscience · 2019Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
The motor examination section of the unified Parkinson's disease rating scale (UPDRS) is widely used in research but few studies have examined whether subscales exist that tap relatively distinct motor abnormalities. We analyzed data from 193 persons enrolled in a population-based study in Central California. Patients were examined after overnight PD medication washout ("OFF" state) and approximately one hour after taking medication ("ON" state). We performed confirmatory factor analysis of the UPDRS for OFF and ON state examinations; correlations, reliability, and relative validity of resulting subscales were evaluated. A model with five factors (gait/posture, tremor, rigidity, bradykinesia affecting the left extremities, bradykinesia affecting the right extremities) fit the data well, with similar results for OFF and ON states. Internal consistency reliability coefficients were 0.90 or higher for all subscales. The gait/posture subscale most strongly discriminated across levels of patient reported PD symptom severity and of how PD affects them on a daily basis. Compared to the right sided bradykinesia subscale, the left sided bradykinesia subscale had higher discrimination across levels of self-reported PD symptom severity and functional impairment. This supports motor UPDRS containing multiple subscales that can be analyzed separately and provide information distinct from the total score that may be useful in clinical studies.
Identifiers
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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.