Evidence map›Paper›PMID 42418508›Full record

ArticlePloS one2026

Diagnostic accuracy of the Mini-Balance Evaluation Systems Test (Mini-BESTest) in screening for fall risk among individuals with vestibular disorders.

Nichaporn Khumduang, Kanokporn Pooranawatthanakul, Nattawan Utoomprurkporn, Akkradate Siriphorn

Abstract read
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Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Nichaporn KhumduangDepartment of Physical Therapy, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok, Thailand.
Kanokporn PooranawatthanakulDepartment of Physical Therapy, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok, Thailand.
Nattawan UtoomprurkpornOtoneurology Unit, Otolaryngology Department, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.ORCID https://orcid.org/0000-0001-6472-7573
Akkradate SiriphornDepartment of Physical Therapy, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok, Thailand.ORCID https://orcid.org/0000-0002-0652-9146

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vestibular disorders significantly impair postural stability and elevate fall risk, necessitating the use of validated assessment tools. While the Mini-Balance Evaluation Systems Test (Mini-BESTest) is a comprehensive measure of balance, diagnostic cut-off scores tailored to the vestibular population remain poorly defined. This study aimed to evaluate the diagnostic accuracy of the Mini-BESTest in identifying fall risk among individuals with vestibular disorders. Forty-two participants underwent assessment using the Mini-BESTest, 4-Meter Walk Test (4MWT), and Timed Up and Go (TUG) test. Fall risk was classified using a dual-criteria approach: (1) fall history and severity (e.g., injury, frequency, and frailty) and (2) physical performance benchmarks on the 4MWT and TUG. Participants were subsequently categorized into low or intermediate-to-high fall risk groups. Accuracy was determined via receiver operating characteristic (ROC) curve analysis. The results yielded an Area Under the Curve (AUC) of 0.69, indicating poor-to-modest discriminatory ability. At the optimal cut-off score of ≤ 23, the scale demonstrated high sensitivity (92.3%) and low specificity (44.8%), resulting in a positive likelihood ratio (LR+) of 1.67 and a negative likelihood ratio (LR-) of 0.17. Exploratory subscore analysis revealed that only the reactive postural control domain provided significant discriminatory trends under bootstrap analysis (95% CI: 0.516-0.823). These results suggest that while the comprehensive total score of Mini-BESTest remains the necessary standard for primary risk stratification due to the scale's validated unidimensional design, reactive postural control performance represents a key underlying physiological driver of instability in this population. Recognizing this specific domain impairment can better assist clinicians in tailoring targeted, individualized therapeutic interventions during vestibular rehabilitation.

Indexed as

Accidental FallsPostural BalanceVestibular DiseasesAdultAgedFemaleHumansMaleMiddle AgedROC Curve

Identifiers

PMID42418508
PMCPMC13345228

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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.