Evidence map›Paper›PMID 39478482›Full record

ArticleBMC geriatrics2024

Unveiling a hidden burden: exploring sarcopenia in hospitalized older patients through concordance and cluster analysis.

Luis Carlos Venegas-Sanabria, Miguel German Borda, Luisa Fernanda Murcia-Soriano, Diana Marcela Ramos-Caballero, Alejandra Tordecilla-Sanders, Gabriela Garcia-Laguna, Olga Vargas-Pinilla

Abstract read
In one paragraph

Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

7 authors.

Luis Carlos Venegas-SanabriaHospital Universitario Mayor-Méderi, Calle 24 # 29-45, 9th floor, Bogotá, Colombia. luis.venegas@urosario.edu.co.
Miguel German BordaCentre for Age-Related Medicine (SESAM), Stavanger University Hospital, Stavanger, Norway.
Luisa Fernanda Murcia-SorianoHospital Universitario Mayor-Méderi, Calle 24 # 29-45, 9th floor, Bogotá, Colombia.
Diana Marcela Ramos-CaballeroSchool of Medicine and Health Sciences, Rehabilitation Science Research Group, Center for the Study of Physical Activity Measurement (CEMA), Universidad del Rosario, Bogotá, Colombia.
Alejandra Tordecilla-SandersSchool of Medicine and Health Sciences, Rehabilitation Science Research Group, Center for the Study of Physical Activity Measurement (CEMA), Universidad del Rosario, Bogotá, Colombia.
Gabriela Garcia-LagunaSchool of Medicine and Health Sciences, Rehabilitation Science Research Group, Center for the Study of Physical Activity Measurement (CEMA), Universidad del Rosario, Bogotá, Colombia.
Olga Vargas-PinillaSchool of Medicine and Health Sciences, Rehabilitation Science Research Group, Center for the Study of Physical Activity Measurement (CEMA), Universidad del Rosario, Bogotá, Colombia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSarcopenia has been shown to be an important condition with the ability to predict negative health outcomes, especially in hospitalized older adults; hence, its accurate identification has an important role in the prognosis of older patients.

aimThe prevalence of sarcopenia among hospitalized older adults was assessed by employing three distinct diagnostic methods.

methodsOlder adults who were hospitalized were recruited. Bioelectrical impedance analysis was used to assess muscle mass and body composition. Sarcopenia was diagnosed via the European and Asian criteria and via a modified approach in which the Colombian cutoff points for handgrip and gait speed were used. Finally, a cluster analysis was performed to classify the population.

resultsThe prevalence rates of sarcopenia and severe sarcopenia ranged from 7.3 to 31.6%. The agreement between approaches revealed substantial or almost perfect agreement in 30% of the sarcopenia comparisons and 46.6% of the severe sarcopenia comparisons. The cluster analysis defined three different clusters. The first cluster was associated with increased age, BMI and body fat and poorer functional status and muscle. The second cluster was the healthiest, with high functional status and muscle mass. The third cluster had intermediate characteristics. DISCUSSION: This study highlights the requirements for standardized diagnostic criteria and precise body composition assessment tools in acute geriatric units and highlights the heterogeneity of older adults. Accurate assessment and well-defined diagnostic criteria will facilitate the implementation of appropriate management and interventions.

conclusionSarcopenia is highly prevalent in hospitalized older adults, but the adjusted criteria and the inclusion of other parameters must be considered in the assessment.

Indexed as

HospitalizationSarcopeniaAgedAged, 80 and overBody CompositionCluster AnalysisElectric ImpedanceFemaleGeriatric AssessmentHand StrengthHumansMalePrevalenceBody compositionHospitalizationLow muscle massPrevalence

Identifiers

PMID39478482
PMCPMC11523645

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Registered trials

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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.