Evidence map›Paper›PMID 35166312›Full record

ArticleThe journal of nutrition, health & aging2022

Association of Fat Mass with SARC-F in Older Patients Undergoing Haemodialysis.

R S Feitosa, A C B Marini, G D Pimentel

Open access · greenAbstract read
In one paragraph

Article in The journal of nutrition, health & aging, 2022. 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, top 98% of its field
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, 0 citations in OpenAlex.

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

3 authors at 1 institution in 1 country.

R S FeitosaGustavo Duarte Pimentel, Faculdade de Nutrição, Universidade Federal de Goiás, Rua 227, Quadra 68 s/n°, Setor Leste Universitário, CEP: 74605-080, Goiânia, GO. Brasil. Email: gupimentel@yahoo.com.br.
A C B Marini
G D Pimentel
Universidade Federal de Goiás · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesAn increase in fat mass is accompanied by a loss of muscle mass and function in chronic kidney disease. However, no studies in haemodialysis (HD) patients have investigated the relationship between fat mass and sarcopenia. The primary aim of this study is to assess the prevalence of sarcopenia, while the secondary aim is to verify the association between the fat mass percentage and SARC-F and SARC-F combined with calf circumference (SARC-F+CC) in elderly HD patients. SUBJECTS/

methodsA cross-sectional study enrolled 96 HD older patients (male, n = 66). SARC-F ≥4 is used to define the muscle function loss, whereas SARC-F ≥6 or SARC-F ≥11 (with the calf circumference added) are the thresholds to diagnose sarcopenia. The fat mass percentage is obtained using bioelectrical impedance analysis.

resultsWe found that 37.5% had a risk of muscle function loss due to SARC-F ≥4, 21.8% risk of sarcopenia using the SARC-F ≥6, and when using CC, the prevalence of risk of sarcopenia increased to 41.6% according to SARC-F+CC ≥11. In addition, there was an association between adiposity and sarcopenia for SARC-F ≥6 (OR: 1.25, p= 0.028) and SARC-F+CC ≥11 (OR: 1.25, p= 0.0003), but not with muscle function loss (SARC-F ≥4).

conclusionIn conclusion, we found that 37.5% of HD patients had a risk of muscle function loss and 21-41% presented sarcopenia, depending on the cut-off point used. In addition, higher adiposity was associated with an increased likelihood of having sarcopenia by 25%.

Indexed as

Geriatric AssessmentSarcopeniaAgedCross-Sectional StudiesHumansLegMaleMass ScreeningRenal DialysisSurveys and Questionnairesgait speedHaemodialysismuscle massmuscle strengthsarcopenia

Identifiers

PMID35166312
PMCPMC12878206
OpenAlexW4211029312

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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.