Evidence map›Paper›PMID 38063588›Full record

ArticleHealthcare (Basel, Switzerland)2023

Concurrent Validity and Test-Retest Reliability of the 3-Meter Backward Walk Test in Stroke Survivors.

Ali Kapan, Milos Ristic, Lin Yang, Gottfried Kranz, Thomas Waldhör

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

5 authors.

Ali KapanCenter for Public Health, Department of Social and Preventive Medicine, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0002-4007-0973
Milos RisticNeurological Rehabilitation Center Rosenhügel, 1130 Vienna, Austria.
Lin YangDepartment of Cancer Epidemiology and Prevention Research, Alberta Health Services, Calgary, AB T2S 3C3, Canada.ORCID 0000-0002-1698-6666
Gottfried KranzNeurological Rehabilitation Center Rosenhügel, 1130 Vienna, Austria.
Thomas WaldhörCenter for Public Health, Department of Epidemiology, Medical University of Vienna, 10090 Vienna, Austria.ORCID 0000-0003-2043-8299

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the context of evaluating physical function in individuals with stroke, the 3-Meter Backward Walk Test (3MBWT) emerges as a potential tool of interest. The purpose of this study was to assess the test-retest reliability and concurrent validity of the 3MBWT and its correlation with falling incidents. Conducted in a neurological rehabilitation center, 35 ambulatory individuals with stroke were enrolled within a month post-stroke onset. These participants, with a Functional Ambulation Category score of ≥4, underwent the 3MBWT, Functional Gait Assessment (FGA), 10-Meter Walk Test (10MWT), and 6-Minute Walk Test (6MWT) under the supervision of different physiotherapists. The results indicate that the 3MBWT demonstrated high reliability, with an Intraclass Correlation Coefficient of 0.97 (95% CI: 0.95, 0.98). It also showed significant concurrent validity with other established walking tests like the 6MWT (r = -0.78) and 10MWT (r = 0.71), with a moderate correlation with the FGA (r = -0.54). No marked differences in test outcomes were observed between participants based on their fall history. Conclusively, the 3MBWT proves to be highly reliable and agrees well with existing walking function assessments for stroke patients, suggesting its potential as a time-efficient alternative.

Indexed as

3-Meter Backward Walk Testconcurrent validitypsychometric propertiesreliabilitystroke

Identifiers

PMID38063588
PMCPMC10706201

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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.