ArticleeNeurologicalSci2016
Predictive model for falling in Parkinson disease patients.
Article in eNeurologicalSci, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.
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Who cites it
15 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Prognostic factors for falls in Parkinson's disease: a systematic review.Acta neurologica Belgica · 2024Pooled it
- Pooled it
- Systematic review of prognostic models in Parkinson's disease.NPJ Parkinson's disease · 2025Article
- Improving Prediction of Falls and Cognitive Impairment in Parkinson Disease: Protocol for a Decentralized Observational Study.JMIR research protocols · 2025Article
- Cognitive measures predict falls in Parkinson's disease: Insights from the CYCLE-II cohort.Parkinsonism & related disorders · 2025Article
- Impact of Falls on Quality of Life among Filipinos with Parkinson's Disease from a Referral Center Ambulatory Care PD Clinic.JMA journal · 2025Article
- Anticipating Tomorrow: Tailoring Parkinson's Symptomatic Therapy Using Predictors of Outcome.Movement disorders clinical practice · 2024Article
- Imbalance and Falls in Patients with Parkinson's Disease: Causes and Recent Developments in Training and Sensor-Based Assessment.Brain sciences · 2024Review
- Development and internal validation of a prognostic model for loss of balance and falls in mid- to late-stage Parkinson's disease.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024Article
- Risk factors for falls in Parkinson's disease: a cross-sectional observational and Mendelian randomization study.Frontiers in aging neuroscience · 2024Article
- Gait and turning characteristics from daily life increase ability to predict future falls in people with Parkinson's disease.Frontiers in neurology · 2023Article
- Dual-Task Treadmill Training for the Prevention of Falls in Parkinson's Disease: Rationale and Study Design.Frontiers in rehabilitation sciences · 2021Article
- Assessing the Relationship between the Enhanced Gait Variability Index and Falls in Individuals with Parkinson's Disease.Parkinson's disease · 2020Article
- Double-Tap Interaction as an Actuation Mechanism for On-Demand Cueing in Parkinson's Disease.Sensors (Basel, Switzerland) · 2019Article
- A Technological Review of Wearable Cueing Devices Addressing Freezing of Gait in Parkinson's Disease.Sensors (Basel, Switzerland) · 2019Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND/
aimsFalls are a common complication of advancing Parkinson's disease (PD). Although numerous risk factors are known, reliable predictors of future falls are still lacking. The aim of this study was to develop a multivariate model to predict falling in PD patients.
methodsProspective cohort with forty-nine PD patients. The area under the receiver-operating characteristic curve (AUC) was calculated to evaluate predictive performance of the purposed multivariate model.
resultsThe median of PD duration and UPDRS-III score in the cohort was 6 years and 24 points, respectively. Falls occurred in 18 PD patients (30%). Predictive factors for falling identified by univariate analysis were age, PD duration, physical activity, and scores of UPDRS motor, FOG, ACE, IFS, PFAQ and GDS (
conclusionsThis study showed that our multivariate model have a high performance to predict falling in a sample of PD patients.
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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.