Evidence map›Paper›PMID 27630397›Full record

ArticleJournal of physical therapy science2016

The relationship between the load on the knee joint during walking and the biomechanical characteristics of single-leg standing.

Takeshi Chiba, Masanori Yamanaka, Mina Samukawa, Hiroshi Saito, Kento Sabashi, Harukazu Tohyama

Abstract read
In one paragraph

Article in Journal of physical therapy science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Takeshi ChibaGraduate School of Health Sciences, Hokkaido University, Japan.
Masanori YamanakaDepartment of Rehabilitation Science, Faculty of Health Sciences, Hokkaido University, Japan.
Mina SamukawaDepartment of Rehabilitation Science, Faculty of Health Sciences, Hokkaido University, Japan.
Hiroshi SaitoDepartment of Rehabilitation Science, Faculty of Health Sciences, Hokkaido University, Japan.
Kento SabashiGraduate School of Health Sciences, Hokkaido University, Japan.
Harukazu TohyamaDepartment of Rehabilitation Science, Faculty of Health Sciences, Hokkaido University, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[Purpose] The purpose of the present study was to investigate the relationship between the external knee adduction moment (KAM) during walking and the biomechanical characteristics of single-leg standing in healthy subjects. [Subjects and Methods] Twenty-eight healthy subjects were recruited for this study. Data were collected while the subjects performed walking and single-leg standing using a motion analysis system with six digital video cameras and two force plates. Pearson's correlation coefficient was used to quantify the relationship between peak KAM during walking and single-leg standing. To determine whether the kinematic behavior of the pelvis and trunk during single-leg standing are associated with peak KAM during walking, Pearson's correlation coefficients were calculated and stepwise linear regression was performed. [Results] The peak KAM during single-leg standing was significantly correlated with that during walking. The peak KAM during walking was significantly correlated with the peak lateral lean of the trunk and the peak lateral tilt of the pelvis during single-leg standing. The results of stepwise linear regression analysis show the peak KAM during walking was partially explained by the peak lateral lean of the trunk during single-leg standing. [Conclusion] Our findings suggest that single-leg standing might be a useful method for predicting the peak KAM during walking.

Indexed as

External knee adduction momentGait analysisSingle-leg standing

Identifiers

PMID27630397
PMCPMC5011561

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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.