Evidence map›Paper›PMID 34218263›Full record

ArticleInternational journal of obesity (2005)2021

A simple method of sarcopenia detection can predict adverse cardiovascular events in patients with abdominal obesity.

Shinsuke Hanatani, Yasuhiro Izumiya, Masahiro Yamamoto, Satoshi Araki, Koichiro Fujisue, Yuichiro Arima, Seiji Takashio, Eiichiro Yamamoto, Koichi Kaikita, Kenichi Matsushita and 1 more

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Article in International journal of obesity (2005), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
1.1field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

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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

11 authors at 3 institutions in 1 country.

Shinsuke Hanatani *Department of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.ORCID http://orcid.org/0000-0001-9627-9373
Yasuhiro Izumiya *Department of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan. izumiya.yasuhiro@med.osaka-cu.ac.jp.ORCID http://orcid.org/0000-0003-2332-9151
Masahiro YamamotoDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Satoshi ArakiDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Koichiro FujisueDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Yuichiro ArimaDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Seiji TakashioDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Eiichiro YamamotoDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Koichi KaikitaDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Kenichi MatsushitaDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Kenichi TsujitaDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Kumamoto University · JPKumamoto Health Science University · JPOsaka City University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough sarcopenic obesity is associated with a higher risk of cardiovascular events compared with obesity without sarcopenia, it is difficult to diagnose sarcopenia in daily clinical settings. Recently, a simple scoring system has been developed to identify sarcopenia patients based on three variables (age, hand grip strength, and calf circumference). However, the utility of this score for cardiovascular risk stratification in patients with abdominal obesity is unknown.

methodsWe calculated the sarcopenia score in 262 patients with abdominal obesity, defined as a waist circumference ≥90 cm in women or ≥85 cm in men. The composite endpoint of this study was cardiovascular mortality, nonfatal myocardial infarction, stroke, unstable angina, and heart failure hospitalization.

resultsOf the 262 patients, 108 had a high sarcopenia score based on previously established criteria (≥105 in men and ≥120 in women). The patients with a high sarcopenia score had a significantly higher plasma level of B-type natriuretic peptide compared with those with a low sarcopenia score (median 56.7, interquartile range [28.2-142.9] vs. 37.9 [13.8-76.1] pg/mL; p < 0.0001). Kaplan-Meier curves revealed a significantly lower event-free survival rate in those with a high compared with a low sarcopenia score (log-rank test p = 0.001), even after adjustment for confounding factors using propensity score matching (log-rank test p = 0.009). Multivariate Cox proportional hazard analysis identified a high sarcopenia score (hazard ratio: 2.46; 95% confidence interval: 1.31-4.64, p = 0.005) as an independent predictor of the primary endpoints. The combination of a high sarcopenia score and low body mass index (<25 kg/m

conclusionsThis simple screening test for sarcopenia can predict future adverse cardiovascular events in patients with abdominal obesity.

Indexed as

Predictive Value of TestsAgedBody Mass IndexFemaleHumansJapanMaleMiddle AgedObesity, AbdominalProportional Hazards ModelsRetrospective StudiesRisk FactorsSarcopenia

Identifiers

PMID34218263
OpenAlexW3178872395

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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.