Evidence mapPaperPMID 40772803Full record

ReviewAging2025

Getting to the heart of sarcopenia and cardiovascular disease.

Pouya Nezafati, Pankaj Saxena, Jaishankar Raman, Lionel Hebbard, Craig McFarlane

Abstract readReview
In one paragraph

Review in Aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Pouya NezafatiDiscipline of Biomedical Sciences and Molecular Biology, College of Medicine and Dentistry, Australian Institute of Tropical Medicine and Health, Centre for Molecular Therapeutics, James Cook University, Townsville, QLD 4811, Australia.
Pankaj SaxenaCollege of Medicine and Dentistry, James Cook University, Townsville, QLD 4811, Australia.
Jaishankar RamanCollege of Medicine and Dentistry, James Cook University, Townsville, QLD 4811, Australia.
Lionel HebbardDiscipline of Biomedical Sciences and Molecular Biology, College of Medicine and Dentistry, Australian Institute of Tropical Medicine and Health, Centre for Molecular Therapeutics, James Cook University, Townsville, QLD 4811, Australia.
Craig McFarlaneDiscipline of Biomedical Sciences and Molecular Biology, College of Medicine and Dentistry, Australian Institute of Tropical Medicine and Health, Centre for Molecular Therapeutics, James Cook University, Townsville, QLD 4811, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sarcopenia and cardiovascular disease are reported to have similar pathophysiological mechanisms, which suggests that management strategies for one could reduce the burden of the other. A variety of biomarkers linked to changes in the neuromuscular junction, endocrine systems as well as growth factors and muscle proteins have been utilised to assess and identify patients with sarcopenia or patients at risk of developing sarcopenia. Sarcopenia working groups have defined a set of consensus clinical guidelines to diagnose sarcopenia which have been commonly adopted globally. In addition, screening questionnaires have been introduced with different degrees of sensitivity and specificity to identify patients at risk of sarcopenia. Herein, we review screening and diagnosing strategies of sarcopenia as well as the different imaging modalities to quantify sarcopenia. The association of sarcopenia and cardiovascular disease are explored in terms of pathophysiological mechanisms. The effects of sarcopenia on cardiac surgery are evaluated, along with different preventive measures and treatment plans for sarcopenia.

Indexed as

Cardiovascular DiseasesSarcopeniaBiomarkersHumansBiomarkerscardiac surgerycardiovascular diseasediagnosissarcopeniascreening

Identifiers

PMID40772803
PMCPMC12422795

What Socratic holds

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LicenceCC BY
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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 Socratic graph.