Evidence map›Paper›PMID 31528001›Full record

ArticleJournal of physical therapy science2019

The relationship between trunk acceleration parameters and kinematic characteristics during walking in patients with stroke.

Chu-Ling Yen, Ku-Chou Chang, Ching-Yi Wu, Yu-Wei Hsieh

Open access · diamondAbstract read
In one paragraph

Article in Journal of physical therapy science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
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 3 institutions in 1 country.

Chu-Ling YenDepartment of Occupational Therapy and Graduate Institute of Behavioral Sciences, College of Medicine, Chang Gung University: 259 Wen-hwa 1st Rd., 333 Taoyuan city, Taiwan.
Ku-Chou ChangDepartment of Neurology, Kaohsiung Chang Gung Memorial Hospital, Taiwan.
Ching-Yi WuDepartment of Occupational Therapy and Graduate Institute of Behavioral Sciences, College of Medicine, Chang Gung University: 259 Wen-hwa 1st Rd., 333 Taoyuan city, Taiwan.
Yu-Wei HsiehDepartment of Occupational Therapy and Graduate Institute of Behavioral Sciences, College of Medicine, Chang Gung University: 259 Wen-hwa 1st Rd., 333 Taoyuan city, Taiwan.
Chang Gung Memorial Hospital · TWKaohsiung Chang Gung Memorial Hospital · TWLinkou Chang Gung Memorial Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[Purpose] Limited literature has investigated the relationships between acceleration-based gait characteristics and kinematic information from motion analysis systems in gait analysis. The purpose of this study is to determine whether acceleration-based gait characteristics were associated with gait characteristics by motion analysis systems in patients with stroke. [Participants and Methods] Seventeen patients with stroke walked along a 10-m-long walkway at their comfortable speed. Trunk acceleration was measured with an accelerometer. Several reflective markers over bony landmarks on the lower extremities were used to capture movements. We evaluated the correlations of variables calculated between the trunk accelerometers and the motion analysis system. [Results] Walking speed was positively correlated with harmonic ratios along the anteroposterior axis and stride regularity along the vertical and anteroposterior axes. Harmonic ratios were associated with the stance phase percent on the unaffected side. Stride regularity was associated with the stance phase percent on both sides. Smaller interstride variability was associated with smaller peak ankle plantarflexion during both phases and greater peak ankle dorsiflexion during swing phase. Stride regularity is positively associated with maximal knee flexion during swing phase. [Conclusion] Relationships with spatiotemporal and joint kinematic parameters from the motion analysis system support the potential use of accelerometers.

Indexed as

AccelerometersGaitMotion analysis

Identifiers

PMID31528001
PMCPMC6698468
OpenAlexW2967901923

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.