Evidence map›Paper›PMID 38915880›Full record

ArticleInternational journal of MS care2024

Measurement Properties of Backward Walking and Its Sensitivity and Feasibility in Predicting Falls in People With Multiple Sclerosis.

Patrick G Monaghan, Taylor N Takla, Alexis N Chargo, Erin M Edwards, Biaohua Yu, Emily Myers, Ana M Daugherty, Nora E Fritz

Abstract read
In one paragraph

Article in International journal of MS care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

8 authors.

Patrick G MonaghanFrom the Neuroimaging and Neurorehabilitation Laboratory, Wayne State University, Detroit, MI, USA.
Taylor N TaklaFrom the Neuroimaging and Neurorehabilitation Laboratory, Wayne State University, Detroit, MI, USA.
Alexis N ChargoDepartment of Psychology, Wayne State University, Detroit, MI, USA.
Erin M EdwardsFrom the Neuroimaging and Neurorehabilitation Laboratory, Wayne State University, Detroit, MI, USA.
Biaohua YuFrom the Neuroimaging and Neurorehabilitation Laboratory, Wayne State University, Detroit, MI, USA.
Emily MyersFrom the Neuroimaging and Neurorehabilitation Laboratory, Wayne State University, Detroit, MI, USA.
Ana M DaughertyTranslational Neuroscience Program, Wayne State University, Detroit, MI, USA.
Nora E FritzFrom the Neuroimaging and Neurorehabilitation Laboratory, Wayne State University, Detroit, MI, USA.ORCID https://orcid.org/0000-0002-4548-1077

Funding

Backward Walking as a Novel Fall Prediction Tool for Multiple SclerosisR21HD106133 · NICHD · WAYNE STATE UNIVERSITY · PI FRITZ, NORA E. · 2022 to 2023
$412k
NICHD NIH HHS R21 HD106133
6 · The paper itself

Abstract

backgroundPeople with multiple sclerosis (MS) experience mobility impairments that elevate fall risk, increasing the need to identify clinical measures that accurately predict falls. Backward walking (BW) better differentiates fallers from nonfallers in MS. However, no studies have reported the measurement properties of the backward walking Timed 25-Foot Walk (B-T25-FW) and BW metrics, like BW velocity. Additionally, it is unknown whether BW can predict future falls in MS or its link to activity levels. This study assessed the reliability and responsiveness of B-T25-FW and BW metrics, including BW velocity. It also examined whether BW could predict falls at 3 and 6 months and its association with activity levels.

methodsDuring 2 separate visits, 23 people with MS completed the forward walking Timed 25-Foot Walk (F-T25-FW) and B-T25-FW, as well as forward walking and BW assessments in which spatiotemporal measures were recorded. Test-retest reliability was determined with intraclass correlation coefficients, and minimum detectable changes were calculated. Correlation analyses explored the relationship between BW velocity, B-T25-FW, prospective falls, and activity levels.

resultsB-T25-FW and BW velocity exhibited excellent test-retest reliability. Large effect sizes to interpret clinically meaningful change in the B-T25-FW and BW velocity were also found. Both metrics demonstrated modest negative correlations with falls at 3 and 6 months and correlated strongly with very active minutes at 3- and 6-months post study.

conclusionsThe B-T25-FW and BW velocity are effective and reliable in clinical use for evaluating functional mobility in people with MS, are sensitive enough to detect subtle changes, and may be a meaningful marker for tracking disease progression and treatment efficacy.

Indexed as

backward walkingfallsmobilityphysical functionwalking

Identifiers

PMID38915880
PMCPMC11195663

What OpenQuestion holds

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Registered trials

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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.