Evidence map›Paper›PMID 32825595›Full record

Trial reportGenes2020

The Genetic Effect on Muscular Changes in an Older Population: A Follow-Up Study after One-Year Cessation of Structured Training.

Lingxiao He, Evelien Van Roie, An Bogaerts, Sabine Verschueren, Christophe Delecluse, Christopher I Morse, Martine Thomis

Open access · goldAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Genes, 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
0.2field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  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

7 authors at 2 institutions in 2 countries.

Lingxiao HeDepartment of Movement Sciences, Physical Activity, Sports & Health Research Group, KU Leuven, 3001 Leuven, Belgium.
Evelien Van RoieDepartment of Movement Sciences, Physical Activity, Sports & Health Research Group, KU Leuven, 3001 Leuven, Belgium.ORCID 0000-0002-4547-589X
An BogaertsDepartment of Movement Sciences, Physical Activity, Sports & Health Research Group, KU Leuven, 3001 Leuven, Belgium.ORCID 0000-0002-8327-1716
Sabine VerschuerenDepartment of Musculoskeletal Rehabilitation, Rehabilitation Sciences Research Group, KU Leuven, 3001 Leuven, Belgium.
Christophe DelecluseDepartment of Movement Sciences, Physical Activity, Sports & Health Research Group, KU Leuven, 3001 Leuven, Belgium.
Christopher I MorseDepartment of Sport and Exercise Sciences, Manchester Metropolitan University, Oxford Road, Manchester M15 6BH, UK.ORCID 0000-0002-5261-2637
Martine ThomisDepartment of Movement Sciences, Physical Activity, Sports & Health Research Group, KU Leuven, 3001 Leuven, Belgium.ORCID 0000-0001-9093-2191
KU Leuven · BEManchester Metropolitan University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Older adults lose muscle mass and strength at different speeds after the cessation of physical exercise, which might be genotype related. This study aimed to explore the genetic association with changes in muscle mass and strength one year after the cessation of structured training in an older population. Participants (

Indexed as

ExerciseGenetic MarkersMuscle StrengthPolymorphism, Single NucleotideAgedAged, 80 and overBody Mass IndexCase-Control StudiesFollow-Up StudiesGenetic TestingHumansMaleMiddle AgedMuscle, SkeletalMuscular AtrophyUnited KingdomGenetic Markerscessation of structured traininggenetic predisposition scoremuscleolder adults

Identifiers

PMID32825595
PMCPMC7564970
OpenAlexW3080362003

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.