Evidence map›Paper›PMID 31571503›Full record

SynthesisClinical rehabilitation2019

Measures of balance and falls risk prediction in people with Parkinson's disease: a systematic review of psychometric properties.

Stanley J Winser, Priya Kannan, Umar Muhhamad Bello, Susan L Whitney

Registry-linked trialAbstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Clinical rehabilitation, 2019. 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 34 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 5 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

NCT07148700 completednot on this mapstarted 2025, after this paper: background citation

Which Tools Better Predict Fall Risk in Parkinson's Disease: A Comparative Study of Objective, Self-Reported, and Functional Balance Assessment

TypeobservationalSponsorBezmialem Vakif UniversityRan2025 to 2025Enrolled40ConditionsPARKINSON DISEASE (Disorder), Parkinson, Parkinson s Disease, Parkinson Disease
3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Stanley J WinserDepartment of Rehabilitation Sciences, The Hong Kong Polytechnic University, Kowloon, Hong Kong.ORCID https://orcid.org/0000-0002-8766-3688
Priya KannanDepartment of Rehabilitation Sciences, The Hong Kong Polytechnic University, Kowloon, Hong Kong.ORCID https://orcid.org/0000-0003-2583-9614
Umar Muhhamad BelloDepartment of Rehabilitation Sciences, The Hong Kong Polytechnic University, Kowloon, Hong Kong.ORCID https://orcid.org/0000-0001-8535-4163
Susan L WhitneyDepartment of Physical Therapy, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the psychometric properties of measures of balance and falls risk prediction in people with Parkinson's disease (PD). DATA SOURCES: PubMed, Embase, CINAHL, Ovid Medline, Scopus, and Web of Science were searched from inception to August 2019. REVIEW

methodStudies testing psychometric properties of measures of balance and falls risk prediction in PD were included. The four-point COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) assessed quality.

resultsEighty studies testing 68 outcome measures were reviewed; 43 measures assessed balance, 9 assessed falls risk prediction, and 16 assessed both. The measures with robust psychometric estimation with acceptable properties were the (1) Mini-Balance Evaluation Systems Test (Mini-BEST), (2) Berg Balance Scale, (3) Timed Up and Go test, (4) Falls Efficacy Scale International, and (5) Activities-Specific Balance Confidence scale. These measures assess balance and falls risk prediction at the body, structure and function level, falls risk and balance, and falls risk at the activity level. The motor examination of the Unified Parkinson's Disease Rating Scale (UPDRS-ME) with robust psychometric analysis is a condition-specific measure with acceptable properties. Except the UPDRS-ME and Mini-BESTest, the responsiveness of the other four measures has yet to be established.

conclusionSix of the 68 outcome measures have strong psychometric properties for the assessment of balance and falls risk prediction in PD. Measures assessing balance and falls risk prediction at the participatory level are limited in number with a lack of psychometric validation.

Indexed as

Accidental FallsPostural BalanceHumansMotor ActivityOutcome Assessment, Health CareParkinson DiseasePhysical Therapy ModalitiesPsychometricsReproducibility of ResultsTime and Motion Studiesbalance and fallsfalls riskParkinson’s diseasereliabilityvalidity

Identifiers

PMID31571503
PMCPMC6826874

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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.