Evidence map›Paper›PMID 33154439›Full record

ArticleScientific reports2020

Prevalence and risk factors of sarcopenia in community-dwelling older adults visiting regional medical institutions from the Kadoma Sarcopenia Study.

Satoshi Kurose, Satoru Nishikawa, Takayasu Nagaoka, Masahiro Kusaka, Jun Kawamura, Yukari Nishioka, Shinji Sato, Hiromi Tsutsumi, Yutaka Kimura

Open access · goldAbstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 6 pooled it
3.4field-weighted citation impact, top 7% 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

34 citing papers in PubMed, 6 syntheses or guidelines pooled it, 49 citations in OpenAlex.

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  18. ANDROID and A/G ratio are correlated with sarcopenia among type 2 diabetes patients.Therapeutic advances in endocrinology and metabolism · 2024
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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

9 authors at 3 institutions in 1 country.

Satoshi KuroseDepartment of Health Science, Kansai Medical University, 2-5-1 Shinmachi, Hirakata, Osaka, 573-1010, Japan. kurosesa@hirakata.kmu.ac.jp.
Satoru NishikawaKadoma City Medical Association, Kadoma, Osaka, Japan.
Takayasu NagaokaKadoma City Medical Association, Kadoma, Osaka, Japan.
Masahiro KusakaKadoma City Medical Association, Kadoma, Osaka, Japan.
Jun KawamuraKadoma City Medical Association, Kadoma, Osaka, Japan.
Yukari NishiokaFaculty of Human Science, Osaka International University, Moriguchi, Osaka, Japan.
Shinji SatoFaculty of Health and Medical Science, Teikyo Heisei University, Tokyo, Japan.
Hiromi TsutsumiDepartment of Health Science, Kansai Medical University, 2-5-1 Shinmachi, Hirakata, Osaka, 573-1010, Japan.
Yutaka KimuraDepartment of Health Science, Kansai Medical University, 2-5-1 Shinmachi, Hirakata, Osaka, 573-1010, Japan.
Kansai Medical University · JPOsaka International University · JPTeikyo Heisei University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to investigate risk factors for sarcopenia in community-dwelling older adults visiting regional medical institutions. We retrospectively analyzed medical records of 552 participants (mean age: 74.6 ± 6.7 years, males 31.3%) who underwent body composition evaluation between March 2017 and December 2018 at one of 24 medical institutions belonging to the Kadoma City Medical Association in Japan. We collected the participant's characteristics and laboratory data. Sarcopenia was diagnosed according to the Asian Working Group for Sarcopenia 2019. Sarcopenia, including severe sarcopenia, was detected in 22.3% of all participants, 17.3% of men, and 24.5% of women; rates increased with age. Multivariate logistic regression analysis revealed age (odds ratio [OR]: 2.12; 95% confidence interval [CI] 1.20-3.75), obesity (OR: 0.15; 95% CI 0.07-0.32), hypertension (OR: 0.44; 95% CI 0.25-0.76), certification of long term care (OR: 3.32; 95% CI 1.41-7.81), number of daily conversations (OR: 0.44; 95% CI 0.25-0.77), and malnutrition (OR: 2.42; 95% CI 1.04-5.60) as independent predictors of sarcopenia. Receiver operating characteristic curve analysis demonstrated that the cut-off for daily conversations defining sarcopenia was 4.8 persons. The prevalence of sarcopenia in this study was 22.3%. Besides traditional risk factors for sarcopenia, the number of daily conversations was an independent factor.

Indexed as

AgedAged, 80 and overBody CompositionBody Mass IndexCross-Sectional StudiesFemaleGeriatric AssessmentHumansIndependent LivingJapanMaleMiddle AgedPrevalenceRetrospective StudiesRisk FactorsSarcopenia

Identifiers

PMID33154439
PMCPMC7645589
OpenAlexW3096019357

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.