Evidence map›Paper›PMID 39808247›Full record

ArticleEuropean geriatric medicine2025

Cluster analysis of sarcopenia in older adults: significant factors contributing to disease severity.

L V Machekhina, O N Tkacheva, E N Dudinskaya, E M Shelley, A A Mamchur, V V Daniel, M V Ivanov, D A Kashtanova, A M Rumyantseva, L R Matkava and 6 more

Abstract read
PubMed Publisher
In one paragraph

Article in European geriatric medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

16 authors.

L V MachekhinaFederal State Autonomous Educational Institution of Higher Education "Russian National Research Medical University named after N.I. Pirogov" of the Ministry of Health of the Russian Federation, Separate structural unit "Russian Gerontology Research and Clinical Centre", 16 1st Leonova Street, Moscow, Russia, 129226. mlv66@list.ru.ORCID 0000-0002-2028-3939
O N TkachevaFederal State Autonomous Educational Institution of Higher Education "Russian National Research Medical University named after N.I. Pirogov" of the Ministry of Health of the Russian Federation, Separate structural unit "Russian Gerontology Research and Clinical Centre", 16 1st Leonova Street, Moscow, Russia, 129226.
E N DudinskayaFederal State Autonomous Educational Institution of Higher Education "Russian National Research Medical University named after N.I. Pirogov" of the Ministry of Health of the Russian Federation, Separate structural unit "Russian Gerontology Research and Clinical Centre", 16 1st Leonova Street, Moscow, Russia, 129226.
E M ShelleyFederal State Autonomous Educational Institution of Higher Education "Russian National Research Medical University named after N.I. Pirogov" of the Ministry of Health of the Russian Federation, Separate structural unit "Russian Gerontology Research and Clinical Centre", 16 1st Leonova Street, Moscow, Russia, 129226.
A A MamchurFederal State Autonomous Educational Institution of Higher Education "Russian National Research Medical University named after N.I. Pirogov" of the Ministry of Health of the Russian Federation, Separate structural unit "Russian Gerontology Research and Clinical Centre", 16 1st Leonova Street, Moscow, Russia, 129226.
V V DanielFederal State Budgetary Institution "Center for Strategic Planning and Management of Medical and Biological Health Risks" of the Federal Medical and Biological Agency, 10, Building 1, Pogodinskaya Street, Moscow, Russia, 119121.
M V IvanovFederal State Budgetary Institution "Center for Strategic Planning and Management of Medical and Biological Health Risks" of the Federal Medical and Biological Agency, 10, Building 1, Pogodinskaya Street, Moscow, Russia, 119121.
D A KashtanovaFederal State Budgetary Institution "Center for Strategic Planning and Management of Medical and Biological Health Risks" of the Federal Medical and Biological Agency, 10, Building 1, Pogodinskaya Street, Moscow, Russia, 119121.
A M RumyantsevaFederal State Budgetary Institution "Center for Strategic Planning and Management of Medical and Biological Health Risks" of the Federal Medical and Biological Agency, 10, Building 1, Pogodinskaya Street, Moscow, Russia, 119121.
L R MatkavaFederal State Budgetary Institution "Center for Strategic Planning and Management of Medical and Biological Health Risks" of the Federal Medical and Biological Agency, 10, Building 1, Pogodinskaya Street, Moscow, Russia, 119121.
V S YudinFederal State Budgetary Institution "Center for Strategic Planning and Management of Medical and Biological Health Risks" of the Federal Medical and Biological Agency, 10, Building 1, Pogodinskaya Street, Moscow, Russia, 119121.
V V MakarovFederal State Budgetary Institution "Center for Strategic Planning and Management of Medical and Biological Health Risks" of the Federal Medical and Biological Agency, 10, Building 1, Pogodinskaya Street, Moscow, Russia, 119121.
A A KeskinovFederal State Budgetary Institution "Center for Strategic Planning and Management of Medical and Biological Health Risks" of the Federal Medical and Biological Agency, 10, Building 1, Pogodinskaya Street, Moscow, Russia, 119121.
S A KraevoyFederal State Budgetary Institution "Center for Strategic Planning and Management of Medical and Biological Health Risks" of the Federal Medical and Biological Agency, 10, Building 1, Pogodinskaya Street, Moscow, Russia, 119121.
S M YudinFederal State Budgetary Institution "Center for Strategic Planning and Management of Medical and Biological Health Risks" of the Federal Medical and Biological Agency, 10, Building 1, Pogodinskaya Street, Moscow, Russia, 119121.
I D StrazheskoFederal State Autonomous Educational Institution of Higher Education "Russian National Research Medical University named after N.I. Pirogov" of the Ministry of Health of the Russian Federation, Separate structural unit "Russian Gerontology Research and Clinical Centre", 16 1st Leonova Street, Moscow, Russia, 129226.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe European Working Group on Sarcopenia in Older People (EWGSOP2) defines sarcopenia as a muscle disease (muscle failure) rooted in adverse muscle changes that accrue across a lifetime; sarcopenia is common among adults of older age. New findings on the hormonal and metabolic characteristics of patients with sarcopenia have aided in developing more targeted therapeutic strategies. However, treating older patients with sarcopenia still poses a number of challenges. Despite numerous studies on sarcopenia, no comprehensive phenotyping of older sarcopenic patients has yet to be offered. Cluster analysis has been successfully used to study various diseases. It may be extremely advantageous for collecting data on specific sarcopenia progressions based on a simultaneous assessment of a whole range of factors.

aimTo identify disease progression specific to older patients based on cluster analysis of blood biomarkers and lifestyle.

methodsThis study included 1709 participants aged 90 and older. The median age was 92. Seventy-one percent of participants were female. Participants underwent a comprehensive geriatric assessment and had their metabolic, hormonal, and inflammatory blood biomarkers measured. The data were analyzed and clustered using the R programming language.

resultsSeven sarcopenia clusters were identified. The most significant variables, in descending order, were malnutrition, physical activity, body mass index, handgrip strength, testosterone, albumin, sex, adiponectin, total protein, vitamin D, hemoglobin, estradiol, C-reactive protein, glucose, monocytes, and insulin. Handgrip strength measurements and free T3 levels increased linearly between the cluster with the lowest measurements and the cluster with the highest measurements.

conclusionThe findings of this study may greatly aid in understanding the relationship between blood biomarkers, lifestyle and sarcopenia progression in older adults, and may help in developing better prevention and diagnostic strategies as well as more personalized therapeutic interventions.

Indexed as

SarcopeniaAgedAged, 80 and overBiomarkersBody Mass IndexCluster AnalysisDisease ProgressionFemaleGeriatric AssessmentHand StrengthHumansMaleSeverity of Illness IndexBiomarkersCluster analysisDynamometryHormonal statusMalnutritionMetabolic statusPhysical activitySarcopenia

Identifiers

PMID39808247

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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.