Evidence map›Paper›PMID 28533603›Full record

ArticleJournal of physical therapy science2017

Comparison of accelerometer-based and treadmill-based analysis systems for measuring gait parameters in healthy adults.

Seung-Yeop Lim, Wan-Hee Lee

Open access · diamondAbstract read
In one paragraph

Article in Journal of physical therapy science, 2017. 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
2.4field-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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
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

2 authors at 1 institution in 1 country.

Seung-Yeop LimGraduate School of Physical Therapy, Sahmyook University, Republic of Korea.
Wan-Hee LeeGraduate School of Physical Therapy, Sahmyook University, Republic of Korea.
Sahmyook University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[Purpose] This study aimed to determine the correlation between accelerometer-based and treadmill-based analysis systems for measuring gait parameters during comfortable walking in healthy young adults. [Subjects and Methods] Twenty-three healthy adults participated in this study. Gait parameters were measured with simultaneous use of accelerometer-based and treadmill-based gait analysis systems, while participants walked for 30 s. [Results] There was a highly-significant correlation between the two systems with respect to cadence and velocity. The cadence, speed, and stride measured with the accelerometer system were significantly and highly correlated with the cadence, velocity, and number of steps measured with the treadmill-based system. The gait cycle duration measured with the accelerometer system was significantly and highly correlated with the step time and stride time measured with the treadmill-based gait system. [Conclusion] Gait analysis using an accelerometer system is a valid method for assessment of the effectiveness of therapeutic interventions in a clinical setting.

Indexed as

AccelerometerGait analysisTreadmill

Identifiers

PMID28533603
PMCPMC5430266
OpenAlexW2605499568

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.