Evidence map›Paper›PMID 21409401›Full record

Trial reportEuropean journal of applied physiology2011

An examination of the time course of training-induced skeletal muscle hypertrophy.

Jason M DeFreitas, Travis W Beck, Matt S Stock, Michael A Dillon, Paul R Kasishke

Abstract readClinical Trial
PubMed Publisher
In one paragraph

Trial report in European journal of applied physiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 1 pooled it
–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

86 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  4. Nutrients · 2023
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  5. Cross education is modulated by set configuration in knee extension exercise.Journal of musculoskeletal & neuronal interactions · 2023
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26 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Jason M DeFreitasDepartment of Health and Exercise Science, University of Oklahoma, 1401 Asp Avenue, Norman, OK 73019, USA. defreitas@ou.edu
Travis W Beck
Matt S Stock
Michael A Dillon
Paul R Kasishke

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skeletal muscle hypertrophy is typically considered to be a slow process. However, this is partly because the time course for hypertrophy has not been thoroughly examined. The purpose of this study was to use weekly testing to determine a precise time course of skeletal muscle hypertrophy during a resistance training program. Twenty-five healthy, sedentary men performed 8 weeks of high-intensity resistance training. Whole muscle cross-sectional area (CSA) of the dominant thigh was assessed using a peripheral quantitative computed tomography scanner during each week of training (W1-W8). Isometric maximum voluntary contractions (MVC) were also measured each week. After only two training sessions (W1), the mean thigh muscle CSA increased by 5.0 cm(2) (3.46%; p < 0.05) from the pre-testing (P1) and continued to increase with each testing session. It is possible that muscular edema may have influenced the early CSA results. To adjust for this possibility, with edema assumedly at its highest at W1, the next significant increase from W1 was at W3. W4 was the first significant increase of MVC over P1. Therefore, significant skeletal muscle hypertrophy likely occurred around weeks 3-4. Overall, from the pre-testing to W8, there was an increase of 13.9 cm(2) (9.60%). These findings suggested that training-induced skeletal muscle hypertrophy may occur early in a training program.

Indexed as

Resistance TrainingAdolescentAdultAlgorithmsExerciseExercise TestHumansHypertrophyMaleMuscle, SkeletalMuscular DiseasesTime FactorsYoung Adult

Identifiers

PMID21409401

What OpenQuestion holds

Textmetadata
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.