Evidence map›Paper›PMID 37600498›Full record

ArticleMultiple sclerosis international2023

Cognitive Contributors of Backward Walking in Persons with Multiple Sclerosis.

Taylor N Takla, Alexis N Chargo, Ana M Daugherty, Nora E Fritz

Open access · hybridAbstract read
In one paragraph

Article in Multiple sclerosis international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.6field-weighted citation impact, top 11% of its field
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

7 citing papers in PubMed, 10 citations in OpenAlex.

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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 at 1 institution in 1 country.

Taylor N TaklaNeuroimaging and Neurorehabilitation Laboratory, Wayne State University, Detroit, MI, USA.ORCID https://orcid.org/0000-0002-6546-5752
Alexis N ChargoDepartment of Psychology, Wayne State University, Detroit, MI, USA.ORCID https://orcid.org/0000-0002-3139-2997
Ana M DaughertyTranslational Neuroscience Program, Wayne State University, Detroit, MI, USA.ORCID https://orcid.org/0000-0002-9980-154X
Nora E FritzNeuroimaging and Neurorehabilitation Laboratory, Wayne State University, Detroit, MI, USA.ORCID https://orcid.org/0000-0002-4548-1077
Wayne State University · US

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

Purpose: Individuals with multiple sclerosis (MS) are at an increased fall risk due to motor and cognitive dysfunction. Our past studies suggest that backward walking (BW) velocity predicts fall risk; however, specific cognitive domains associated with BW velocity remain understudied. The goal of this study was to determine the specific contributions of cognitive functioning to BW velocity in persons with MS. We hypothesized that better visuospatial memory, verbal immediate recall, and faster information processing speed would contribute to faster BW velocity, and deficits in these domains would partially account for disease severity-related impairment in BW velocity. Methods: Participants completed demographic questionnaires, walking tests, and cognitive assessments. Applied structural equation modeling was used to test our hypothesized model of competing cognitive mediators. Within the model, disease severity was a predictor of BW via three intercorrelated cognitive mediators. Results: Participants included 39 individuals with relapsing-remitting MS. Results indicated that 35.3% of the significant total effect of disease severity on BW was accounted for by specific cognitive deficits. Verbal immediate recall had the largest contribution, followed by visuospatial memory and information processing speed. Conclusions: When examining the unique effects of cognitive domains on disease severity-related deficits in BW, a meaningful source of impairment related to visuospatial memory and verbal immediate recall was demonstrated. Considering the utility of BW velocity as a predictor of falls, these results highlight the importance of assessing cognition when evaluating fall risk in MS. Cognitive-based intervention studies investigating fall prevention may find BW as a more specific and sensitive predictor of fall risk than forward walking.

Identifiers

PMID37600498
PMCPMC10438976
OpenAlexW4385755660

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.