Evidence map›Paper›PMID 36745156›Full record

ArticleEuropean journal of physical and rehabilitation medicine2023

Loaded and unloaded timed stair tests as tools for assessing advanced functional mobility in people with stroke.

Shamay S Ng, Tai-Wa Liu, Peiming Chen, Sum Y Lau, Victoria C Lee, Yat C Leung, Chi K Ng, Suk M Suen, Thomson W Wong, Richard Xu and 2 more

Abstract read
In one paragraph

Article in European journal of physical and rehabilitation medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

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4 · The record

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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

12 authors.

Shamay S NgDepartment of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, China - Shamay.Ng@polyu.edu.hk.
Tai-Wa LiuSchool of Nursing and Health Studies, Hong Kong Metropolitan University, Hong Kong, China.
Peiming ChenDepartment of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, China.
Sum Y LauDepartment of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, China.
Victoria C LeeDepartment of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, China.
Yat C LeungDepartment of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, China.
Chi K NgDepartment of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, China.
Suk M SuenDepartment of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, China.
Thomson W WongDepartment of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, China.
Richard XuDepartment of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, China.
Mimi M TseSchool of Nursing and Health Studies, Hong Kong Metropolitan University, Hong Kong, China.
Cynthia Y LaiDepartment of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Timed Stair Test (TST) was originally designed to measure advanced functional mobility in patients who have undergone a total hip replacement. Its psychometric properties have not been examined systematically in people with stroke.

aimThe aims of this study were to: 1) determine the intra-rater reliability of TST under loaded and unloaded condition; 2) identify the minimal detectable changes (MDCs) in TST completion times; 3) investigate the concurrent validity between TST completion times and stroke-specific outcome measures; and 4) determine the cut-off TST completion time to differentiate the performance between people with stroke and healthy older adults.

designCross-sectional study.

settingA university-based rehabilitation center. POPULATION: Ninety-four people with stroke and 34 healthy older adults.

methodsTSTs were conducted under loaded and unloaded conditions. Two trials of the TST for each of the two conditions were performed on the same day. The Fugl-Meyer Assessment of Lower Extremity (FMA-LE), lower-limb muscle strength test assessed by a hand held dynamometer, Berg Balance Scale (BBS), Limit of Stability (LOS) Test, Timed Up and Go (TUG) Test, and the Cantonese version of the Community Integration Measure (CIM) were also used to assess the subjects.

resultsExcellent intra-rater reliability was demonstrated for TST completion times under loaded (intraclass correlation coefficient [ICC<inf>2,1</inf>]=0.991) and unloaded (ICC<inf>2,1</inf>=0.985) conditions. The MDCs in TST completion times were 6.55 seconds and 7.25 seconds under loaded and unloaded conditions, respectively. FMA-LE scores, mean strength of the affected-side dorsiflexors and plantar flexors, BBS scores, and LOS movement velocity and maximum excursion scores demonstrated fair to excellent negative correlations with TST completion times under both loaded (r=-0.314 to -0.786) and unloaded (r=-0.296 to -0.794) conditions. TUG results demonstrated good to excellent positive correlations with TST completion times under both loaded (r=0.875, P<0.001) and unloaded (r=0.872, P<0.001) conditions. The TST completion times of 26.3 seconds and 23.4 seconds under loaded and unloaded conditions, respectively, differentiated between people with stroke and healthy older adults.

conclusionsThe TST is a reliable clinical tool for evaluating advanced functional mobility in people with stroke. CLINICAL REHABILITATION IMPACT: TST is a fast and simple test that does not require sophisticated equipment, making it suitable for busy hospital and rehabilitation settings.

Indexed as

StrokeStroke RehabilitationAgedCross-Sectional StudiesDisability EvaluationHumansPostural BalanceReproducibility of Results

Identifiers

PMID36745156
PMCPMC10035362

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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.