Evidence map›Paper›PMID 40710915›Full record

ReviewNeurology international2025

An Overview About Figure-of-Eight Walk Test in Neurological Disorders: A Scoping Review.

Gabriele Triolo, Roberta Lombardo, Daniela Ivaldi, Angelo Quartarone, Viviana Lo Buono

Abstract readReview
In one paragraph

Review in Neurology international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Gabriele TrioloIRCCS Centro Neurolesi Bonino Pulejo, 98124 Messina, Italy.ORCID 0009-0000-4999-1683
Roberta LombardoIRCCS Centro Neurolesi Bonino Pulejo, 98124 Messina, Italy.ORCID 0009-0002-4619-910X
Daniela IvaldiIRCCS Centro Neurolesi Bonino Pulejo, 98124 Messina, Italy.
Angelo QuartaroneIRCCS Centro Neurolesi Bonino Pulejo, 98124 Messina, Italy.
Viviana Lo BuonoIRCCS Centro Neurolesi Bonino Pulejo, 98124 Messina, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe figure-of-eight walk test (F8WT) assesses gait on a curved path, reflecting everyday walking complexity. Despite recognized validity among elderly individuals, its application in neurological disorders remains inadequately explored. This scoping review summarizes evidence regarding F8WT use, validity, and clinical applicability among individuals with neurological disorders.

methodsA systematic literature search was conducted in the PubMed, Scopus, Embase, and Web of Science databases. After reading the full text of the selected studies and applying predefined inclusion criteria, seven studies, involving participants with multiple sclerosis (n = 3 studies), Parkinson's disease (n = 2 studies), and stroke (n = 2 studies), were included based on pertinence and relevance to the topic.

resultsF8WT demonstrated strong reliability and validity across various neurological populations and correlated significantly with established measures of gait, balance, and disease severity. Preliminary evidence supports its ability to discriminate individuals at increased fall risk and detect subtle motor performance changes. DISCUSSION: The F8WT emerges as a valuable tool, capturing multifaceted gait impairments often missed by linear walking assessments. Sensitive to subtle functional changes, it is suitable for tracking disease progression and intervention efficacy.

conclusionsF8WT is reliable and clinically relevant, effectively identifying subtle, complex walking impairments in neurological disorders.

Indexed as

assessmentF8WTmultiple sclerosisParkinson’s diseasestrokewalking

Identifiers

PMID40710915
PMCPMC12300731

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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.