Evidence map›Paper›PMID 33426361›Full record

ArticleJournal of clinical and translational research2020

Evaluating the results of resistance training using ultrasound or flexed arm circumference: A case for keeping it simple?

Paulo Gentil, Emily Budzynski-Seymour, Daniel Souza, James Steele, James P Fisher, Martim Bottaro

Abstract read
In one paragraph

Article in Journal of clinical and translational research, 2020. 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.

Paulo GentilCollege of Physical Education and Dance, Federal University of Goias, Goiania, GO, Brazil.
Emily Budzynski-SeymourSchool of Sport, Health, and Social Sciences, Solent University, Southampton, UK.
Daniel SouzaCollege of Physical Education and Dance, Federal University of Goias, Goiania, GO, Brazil.
James SteeleSchool of Sport, Health, and Social Sciences, Solent University, Southampton, UK.
James P FisherSchool of Sport, Health, and Social Sciences, Solent University, Southampton, UK.
Martim BottaroCollege of Physical Education, University of Brasília, Brasília, DF, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe present study aimed to compare changes in muscle size when measured by ultrasound (US) muscle thickness (MT) and arm circumference (AC) using data from young men.

methodsThe investigation involved data from three previous studies involving a total of 67 young men who performed resistance training (RT) for 10-12 weeks. Before and after the training period, elbow flexor MT was evaluated by US and AC was measured. We conducted two-stage individual patient data random-effects meta-analyses using both Frequentist and Bayesian hypothesis testing. One-sample analyses examined the absence or presence of a change in both MT and AC, and paired analyses examined whether these differed from one another or equivalent.

resultsOne-sample analysis supported that both AC (+4.9%; tp=0.0002; BF10=6,255,759,515) and MT (+3.9%;

conclusionBoth MT and AC are able to detect RT-induced changes in muscle size of the upper arm, but that the magnitude of changes may differ. Thus, care should be taken when comparing or combining estimates using either approach. RELEVANCE FOR PATIENTS: The use of AC might be considered as a practical and low-cost alternative to detect changes in muscle size.

Indexed as

anthropometryhypertrophymusclesresistance training

Identifiers

PMID33426361
PMCPMC7787222

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.