Evidence map›Paper›PMID 31861518›Full record

SynthesisCells2019

Genetic Associations with Aging Muscle: A Systematic Review.

Jedd Pratt, Colin Boreham, Sean Ennis, Anthony W Ryan, Giuseppe De Vito

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Cells, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 3 pooled it
6.8field-weighted citation impact, top 3% 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

41 citing papers in PubMed, 3 syntheses or guidelines pooled it, 75 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

5 authors at 1 institution in 2 countries.

Jedd PrattInstitute for Sport and Health, University College Dublin, Dublin 4, Ireland.
Colin BorehamInstitute for Sport and Health, University College Dublin, Dublin 4, Ireland.
Sean EnnisGenomics Medicine Ireland, Dublin, Ireland.
Anthony W RyanGenomics Medicine Ireland, Dublin, Ireland.
Giuseppe De VitoInstitute for Sport and Health, University College Dublin, Dublin 4, Ireland.
University College Dublin · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The age-related decline in skeletal muscle mass, strength and function known as 'sarcopenia' is associated with multiple adverse health outcomes, including cardiovascular disease, stroke, functional disability and mortality. While skeletal muscle properties are known to be highly heritable, evidence regarding the specific genes underpinning this heritability is currently inconclusive. This review aimed to identify genetic variants known to be associated with muscle phenotypes relevant to sarcopenia. PubMed, Embase and Web of Science were systematically searched (from January 2004 to March 2019) using pre-defined search terms such as "aging", "sarcopenia", "skeletal muscle", "muscle strength" and "genetic association". Candidate gene association studies and genome wide association studies that examined the genetic association with muscle phenotypes in non-institutionalised adults aged ≥50 years were included. Fifty-four studies were included in the final analysis. Twenty-six genes and 88 DNA polymorphisms were analysed across the 54 studies. The

Indexed as

Gene Regulatory NetworksPolymorphism, Single NucleotideAgedAged, 80 and overFemaleGenetic Association StudiesGenetic Predisposition to DiseaseHumansMaleMiddle AgedPhenotypeSarcopeniaaginggenetic variationgenotypemuscle phenotypessarcopenia

Identifiers

PMID31861518
PMCPMC7016601
OpenAlexW2994904512

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.