Evidence map›Paper›PMID 39434896›Full record

ArticleFrontiers in nutrition2024

Body compositions phenotypes of older adults with COPD.

Aleksandra Kaluźniak-Szymanowska, Dorota Talarska, Sławomir Tobis, Arkadiusz Styszyński, Szczepan Cofta, Katarzyna Wieczorowska-Tobis, Ewa Deskur-Śmielecka

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Article in Frontiers in nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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.

Aleksandra Kaluźniak-SzymanowskaDepartment of Palliative Medicine, Poznan University of Medical Sciences, Poznan, Poland.
Dorota TalarskaDepartment of Preventive Medicine, Poznan University of Medical Sciences, Poznan, Poland.
Sławomir TobisDepartment of Occupational Therapy, Poznan University of Medical Sciences, Poznan, Poland.
Arkadiusz StyszyńskiDepartment of Palliative Medicine, Poznan University of Medical Sciences, Poznan, Poland.
Szczepan CoftaDepartment of Respiratory Medicine and Allergology, Poznan University of Medical Sciences, Poznan, Poland.
Katarzyna Wieczorowska-TobisDepartment of Palliative Medicine, Poznan University of Medical Sciences, Poznan, Poland.
Ewa Deskur-ŚmieleckaDepartment of Palliative Medicine, Poznan University of Medical Sciences, Poznan, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Changes in nutritional status are important extrapulmonary manifestations of the chronic obstructive pulmonary disease (COPD). The study aimed to assess the prevalence of different body composition phenotypes in older patients with COPD and to investigate the relationship between these phenotypes and the severity of the disease, as well as physical performance of the subjects. Patients and methods: The study included 124 subjects aged ≥60 with COPD. In all of them body composition analysis and muscle strength measurement were performed. Additionally, data from patients' medical records were analyzed. Study sample was divided into four groups based on the phenotypic body composition: normal phenotype (N), sarcopenia, obesity and sarcopenic obesity (SO). Results: Incidence of sarcopenia was significantly higher in patients with severe or very severe COPD based on GOLD in comparison with subjects with mild or moderate obstruction ( Conclusion: Sarcopenia is common in patients with advanced COPD. Sarcopenia and SO are associated with poorer physical performance. All older people with COPD should routinely have their body composition assessed, instead of simply measuring of body weight or body mass index (BMI).

Indexed as

body compositionCOPDobesityolder adultsphenotypessarcopeniasarcopenic obesity

Identifiers

PMID39434896
PMCPMC11491889

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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.