Evidence map›Paper›PMID 23182793›Full record

ArticleJournal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology2013

Relationships among the muscle strength properties as assessed through various tests and variables.

Goran Prebeg, Ivan Cuk, Dejan Suzovic, Stanimir Stojiljkovic, Dusan Mitic, Slobodan Jaric

Abstract read
In one paragraph

Article in Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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.

Goran PrebegFaculty of Sport and Physical Education, University of Belgrade, Serbia.
Ivan Cuk
Dejan Suzovic
Stanimir Stojiljkovic
Dusan Mitic
Slobodan Jaric

Funding

Evaluation of Novel Tests of Neuromuscular FunctionR21AR060659 · NIAMS · UNIVERSITY OF DELAWARE · PI JARIC, SLOBODAN · 2010 to 2011
$372k
NIAMS NIH HHS R21 AR06065NIAMS NIH HHS R21 AR060659
6 · The paper itself

Abstract

We tested the hypotheses that the individual strength properties depend on the applied test and the variable extracted, rather than on the muscle group tested. Flexor and extensor muscles acting in the knee and elbow joint were tested in 58 participants. The standard strength test (SST; based on sustained maximum contraction) and alternating consecutive maximum contractions (ACMCs; alternating contractions of antagonistic muscles) performed under static conditions were separately applied to provide the maximum force (F) and the rate of force development (RFD) of each tested muscle. The principal component analysis applied on all 16 variables revealed three factors that explained 85.5% of the total variance. Contrary to our hypotheses, the individual factors were loaded with the variables recorded from individual muscles, rather than with either the particular variables or tests. The present findings suggest that recording both F and RFD in routine strength testing procedures could be redundant since they may assess the same strength property of the tested muscle. In addition, ACMC may be a feasible alternative to SST since it could assess the same strength properties from two antagonist muscles through a single trial, while being based on relatively low and transient forces.

Indexed as

AlgorithmsData Interpretation, StatisticalAdultElectromyographyFemaleHumansMaleMiddle AgedMuscle ContractionMuscle, SkeletalMuscle StrengthPhysical EnduranceReproducibility of ResultsSensitivity and SpecificityYoung Adult

Identifiers

PMID23182793
PMCPMC3594360

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.