Evidence map›Paper›PMID 40003726›Full record

ArticleLife (Basel, Switzerland)2025

Lower-Extremity Muscle Strength Symmetry Assessment Through Isokinetic Dynamometry.

Yuanyuan Ren, Sheng Zhou, Guangzhen Cheng, Yueqin Tang, Guangge Wang, Aming Lu

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 2025. 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

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.

  1. Article
  2. 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.

Yuanyuan RenDepartment of Basic Course, Suzhou City University, Suzhou 215104, China.ORCID 0000-0003-4807-3850
Sheng ZhouDepartment of Basic Course, Suzhou City University, Suzhou 215104, China.
Guangzhen ChengDepartment of Basic Course, Suzhou City University, Suzhou 215104, China.
Yueqin TangDepartment of Basic Course, Suzhou City University, Suzhou 215104, China.
Guangge WangDepartment of Basic Course, Suzhou City University, Suzhou 215104, China.
Aming LuPhysical Education and Sport Science, Soochow University, Suzhou 215006, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to establish a dominant and non-dominant limb muscle strength evaluation model to evaluate the asymmetry of lower extremity muscle strength.

methodsThe hip, knee, ankle flexors and extensors of 86 runners were evaluated separately in different contraction modes and at different movement speeds. A principal component analysis was used to establish a model for evaluating dominant and non-dominant lower extremity muscle strength and to comprehensively evaluate the asymmetry of lower extremity muscle strength.

resultsSix main factors were present in both dominant and non-dominant indicators of lower extremity muscle strength, with dominant indicators of lower extremity muscle strength explaining 80.413% of the total variance and non-dominant indicators explaining 78.607% of the total variance.

conclusionsIn a population of healthy male runners, there were differences in the symmetry of lower limbs in the comprehensive assessment model. The main contribution of the non-dominant side was the knee muscles, and the dominant side was the hip and knee muscles, so this difference should be considered in constructing future muscle strength evaluation models. It is critical to understanding the design and function of the human muscle system, and can reduce the number of meaningful tests we perform on diverse populations and help us reduce asymmetry.

Indexed as

isokineticlower extremitymuscle strengthsymmetry

Identifiers

PMID40003726
PMCPMC11857579

What OpenQuestion holds

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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.