Evidence map›Paper›PMID 31144238›Full record

ArticlePathology oncology research : POR2020

Adaptation of Fatigue Affected Changes in Muscle EMG Frequency Characteristics for the Determination of Training Load in Physical Therapy for Cancer Patients.

Adam Hegedus, Lukasz Trzaskoma, Peter Soldos, Kornelia Tuza, Peter Katona, Zsolt Greger, Fanni Zsarnoczky-Dulhazi, Bence Kopper

Open access · hybridAbstract read
In one paragraph

Article in Pathology oncology research : POR, 2020. 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
0.3field-weighted citation impact, top 45% 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, 10 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Adam HegedusDepartment of Kinesiology, University of Physical Education, Budapest, Hungary.
Lukasz TrzaskomaDepartment of Kinesiology, University of Physical Education, Budapest, Hungary.
Peter SoldosDepartment of Kinesiology, University of Physical Education, Budapest, Hungary.
Kornelia TuzaDepartment of Kinesiology, University of Physical Education, Budapest, Hungary.
Peter KatonaDepartment of Kinesiology, University of Physical Education, Budapest, Hungary.
Zsolt GregerDepartment of Kinesiology, University of Physical Education, Budapest, Hungary.
Fanni Zsarnoczky-DulhaziDepartment of Kinesiology, University of Physical Education, Budapest, Hungary.
Bence KopperDepartment of Kinesiology, University of Physical Education, Budapest, Hungary. kopper.tf@gmail.com.
University of Physical Education · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer patients often experience loss in body weight and also a decrease in muscle mass, which results in the reduction of physical activity and mobilization of the patient. To decelerate the loss of muscle mass, as part of the cancer treatment patients frequently undergo physical therapy and considering the physical capabilities of the patients, with moderate loads. Moreover, frequent studies also observed for cancer patients, together with the decrease in muscle mass a shift into fast-twitch muscle fibers from slow-twitch fibers. The aim of our study therefore was to determine how motor fibers behave under moderate isometric load executed until total exhaustion. 11 university students (G1), and 14 elite athletes (G2) participated in the study. 65% of the maximal voluntary contraction (MVC) was determined for the biceps brachii muscle, and with this load holding a weight, participants had to sustain a 90 deg. isometric elbow flexion in a standing posture until complete fatigue occurred. EMG activity for the biceps brachii muscle was measured and frequency analysis was performed. 3 windows were determined in the fatiguing protocol: the first (W1), middle (W2), and last (W3) 5 s, and also frequency analysis for MVC was performed (MAX) between 0 and 260 Hz with 20 Hz wide frequency bands. The results indicate, that as the protocol progressed in time and the effect of fatigue increased (from W1 to W3) the activity of low frequency muscle fibers significantly increased (0-40 Hz) while activity of high frequency muscle fibers (60-260 Hz) significantly decreased for G1 and G2 groups identically. We can conclude, that training applied with constant moderate tension as fatigue increases will result in the increased activation of the lower frequency slow-twitch muscle fibers, but the increase of fatigue in the lower frequency fibers will not result in the increase in the activation level of the higher frequency fast-twitch fibers. Consequently, because as slow-twitch fibers are being used at moderate loads and even when fatigue occurs in these fibers the fast-twitch fibers will not work, higher muscle loads are needed if the aim is to activate fast-twitch fibers. Considering the shift into fast-twitch muscle fibers from slow-twitch fibers for cancer patients, in some cases if the patient's age and physical status allows during the physical treatment, higher loads and consequently higher levels of activation might be beneficial for the retardment of loss concerning the fast-twitch fiber mass.

Indexed as

Physical Therapy ModalitiesAdaptation, PhysiologicalAdultCachexiaElectromyographyFemaleHealthy VolunteersHumansMaleMuscle FatigueMuscle, SkeletalMuscular AtrophyNeoplasmsYoung AdultCancer treatment, physical rehabilitation, neuromuscular fatigueIsometricMotor unit activation

Identifiers

PMID31144238
PMCPMC7242282
OpenAlexW2947717186

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.