Evidence map›Paper›PMID 40500122›Full record

ArticleAging2025

Developing a quantitative estimate of muscle age acceleration by a novel phenotypic clock: cross-sectional study in healthy, middle-aged and older adults.

Lucia Ventura, Antonella Cano, Marco Morrone, Gianluca Martinez, Anna Boi, Maria Grazia Catte, Beniamina Mercante, Nicola Loi, Oksana Yurchyshyn, Giovanni Fiorito and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Aging, 2025. 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

18 authors.

Lucia VenturaDepartment of Biomedical Sciences, University of Sassari, Sassari, Italy.
Antonella CanoDepartment of Biomedical Sciences, University of Sassari, Sassari, Italy.
Marco MorroneDepartment of Biomedical Sciences, University of Sassari, Sassari, Italy.
Gianluca MartinezDepartment of Biomedical Sciences, University of Sassari, Sassari, Italy.
Anna BoiDepartment of Biomedical Sciences, University of Sassari, Sassari, Italy.
Maria Grazia CatteDepartment of Biomedical Sciences, University of Sassari, Sassari, Italy.
Beniamina MercanteDepartment of Biomedical Sciences, University of Sassari, Sassari, Italy.
Nicola LoiDepartment of Biomedical Sciences, University of Sassari, Sassari, Italy.
Oksana YurchyshynTernopil National Medical University, Ternopil, Ukraine.
Giovanni FioritoIRCCS Ospedale Pediatrico Giannina Gaslini, Genova, Italy.
Giuliana SolinasDepartment of Biomedical Sciences, University of Sassari, Sassari, Italy.
Sara CrucianiDepartment of Biomedical Sciences, University of Sassari, Sassari, Italy.
Donatella CoradduzzaDepartment of Biomedical Sciences, University of Sassari, Sassari, Italy.
Margherita MaioliDepartment of Biomedical Sciences, University of Sassari, Sassari, Italy.
Angelo ZinelluDepartment of Biomedical Sciences, University of Sassari, Sassari, Italy.
Ciriaco CarruDepartment of Biomedical Sciences, University of Sassari, Sassari, Italy.
Franca DeriuDepartment of Biomedical Sciences, University of Sassari, Sassari, Italy.
Andrea MancaDepartment of Biomedical Sciences, University of Sassari, Sassari, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sarcopenia is a progressive disease characterized by reductions in muscle mass strength and physical performance. Among the initiatives launched to increase awareness, the European Working Group on Sarcopenia in Older People (EWGSOP) is considered the most influential. This cross-sectional study was planned to develop, in healthy middle-aged and older adults, a novel predictor of sarcopenia based on the motor-functional and anthropometric tests derived from EWGSOP2, which were the primary outcome measures. Participants were tested for body composition, physical performance, blood biomarkers, and risk scores for major healthy issues. Muscle Age Acceleration (MAA) was modelled with Elastic Net regression to extract EWGSOP test mostly contributing to the musculoskeletal ageing trajectory. Two-hundred-fifteen participants were tested (118 women, 97 men; mean age; 66.0±7.3 years). Muscle Age was correlated with chronological age (r = 0.645;

Indexed as

AgingMuscle, SkeletalSarcopeniaAgedBiomarkersBody CompositionCross-Sectional StudiesFemaleHand StrengthHumansMaleMiddle AgedMuscle StrengthPhenotypeBiomarkersageingbiological ageEWGSOPfrailtysarcopenia

Identifiers

PMID40500122
PMCPMC12245203

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.