ArticleBrazilian journal of physical therapy
The Mini-BESTest is an independent predictor of falls in Parkinson Disease.
Article in Brazilian journal of physical therapy. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07148700 (Which Tools Better Predict Fall Risk in Parkinson's Disease), which is not on this map. Cited by 15 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.
Which Tools Better Predict Fall Risk in Parkinson's Disease: A Comparative Study of Objective, Self-Reported, and Functional Balance Assessment
Who cites it
15 citing papers in PubMed.
- Cueing-assisted gamified augmented-reality home rehabilitation for gait and balance in people with Parkinson disease: feasibility and effectiveness in the clinical pathway.Physical therapy · 2026Trial
- Associations Between Objective, Functional, and Self-Reported Balance Assessments and Fall Frequency in Parkinson's Disease.Irish journal of medical science · 2026Article
- Cognitive and Motor Improvements Correlated with Sleep and Activity Following Community-Based Non-contact Boxing in Patients with Parkinson Disease.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2026Article
- AI-driven balance evaluation: a comparative study between blind and non-blind individuals using the mini-BESTest.PeerJ. Computer science · 2025Article
- Intravenous arachnoid granulation hypertrophy in patients with Parkinson disease.NPJ Parkinson's disease · 2024Article
- Balance function in critical illness survivors and evaluation of psychometric properties of the Mini-BESTest.Scientific reports · 2024Article
- Dynamic balance and gait impairments in Parkinson's disease: novel cholinergic patterns.Brain communications · 2024Article
- Article
- Cutoff Point of Mini-Balance Evaluation Systems Test Scores for Elderly Estimated by Center of Pressure Measurements by Linear Regression and Decision Tree Classification.Life (Basel, Switzerland) · 2022Article
- Short-Term Motor Outcomes in Parkinson's Disease after Subthalamic Nucleus Deep Brain Stimulation Combined with Post-Operative Rehabilitation: A Pre-Post Comparison Study.Parkinson's disease · 2022Article
- Assessment of Risk Factors for Falls among Patients with Parkinson's Disease.BioMed research international · 2021Article
- Non-motor impairments affect walking kinematics in Parkinson disease patients: A cross-sectional study.NeuroRehabilitation · 2021Observational
- Choreographing life-experiences of balance control in people with Parkinson's disease.BMC neurology · 2020Article
- Effectiveness of mixed reality-based rehabilitation on motor function in Parkinson's disease. A two-arm randomized trial.Digital healthArticle
- Mild and marked executive dysfunction and falls in people with Parkinson's disease.Brazilian journal of physical therapyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFalls in Parkinson Disease (PD) are a complex health problem, with multidimensional causes and consequences.
objectivesTo identify the fall predictors in individuals with PD and compare fallers and non-fallers considering their socio-demographic, anthropometric, clinical and functional status.
methodsA multicenter cross-sectional design was employed. Variables included: age, sex, body mass index, PD progression, levodopa dosage, activities limitation and motor impairments (UPDRS ADL/Motor), level of physical activity (human activity profile - HAP), fear of falls (Falls Efficacy Scale-International-FES-I), freezing of gait (Freezing of Gait Questionnaire - FOG-Q), gait speed (10 meters walk test - 10-MWT), lower limb functional strength (Five Times Sit-to-Stand Test - FTSST), balance (Mini-BESTest), mobility (Timed "Up & Go" - TUG) and dual-task dynamic (TUG-DT). Seventeen potential predictors were identified. Logistic regression and ROC curve were applied.
resultsThree-hundred and seventy individuals (44.87% fallers and 55.13% non-fallers) completed the study. Fallers presented worse performance in UPDRS motor/ADL/Total, FES-I, FOG-Q, Mini-BESTest, HAP, TUG and TUG-DT and the majority were inactive. The Mini-BESTest Total was the main independent predictor of falls (OR=0.92; p<0.001; 95% CI=0.89, 0.95). For each one-unit increase in the Mini-BESTest, there was an average reduction of 8% in the probability of being a faller. A cut-off point of 21.5/28 (AUC=0.669, sensitivity 70.7% and specificity 55.1%) was determined.
conclusionBesides characterizing and comparing fallers and non-fallers, this study showed that the Mini-BESTest was the strongest individual predictor of falls in individuals with PD, highlighting the importance of evaluating dynamic balance ability during fall risk assessment.
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.