Evidence map›Paper›PMID 28851881›Full record

ArticleScientific reports2017

The increased risk of sarcopenia in patients with cardiovascular risk factors in Suburb-Dwelling older Chinese using the AWGS definition.

Peipei Han, Hairui Yu, Yixuan Ma, Li Kang, Liyuan Fu, Liye Jia, Xiaoyu Chen, Xing Yu, Lin Hou, Lu Wang and 4 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 6 pooled it
5.0field-weighted citation impact, top 4% 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

43 citing papers in PubMed, 6 syntheses or guidelines pooled it, 89 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

14 authors at 2 institutions in 1 country.

Peipei HanDepartment of Rehabilitation Medicine, TEDA International Cardiovascular Hospital, Cardiovascular Clinical College of Tianjin Medical University, Tianjin, China.
Hairui YuDepartment of Rehabilitation Medicine, Tianjin Medical University, Tianjin, China.
Yixuan MaDepartment of Rehabilitation Medicine, Tianjin Medical University, Tianjin, China.
Li KangDepartment of Rehabilitation Medicine, Tianjin Medical University, Tianjin, China.
Liyuan FuDepartment of Rehabilitation Medicine, Tianjin Medical University, Tianjin, China.
Liye JiaDepartment of Rehabilitation Medicine, Tianjin Medical University, Tianjin, China.
Xiaoyu ChenDepartment of Rehabilitation Medicine, Tianjin Medical University, Tianjin, China.
Xing YuDepartment of Rehabilitation Medicine, Tianjin Medical University, Tianjin, China.
Lin HouDepartment of Rehabilitation Medicine, Tianjin Medical University, Tianjin, China.
Lu WangDepartment of Rehabilitation Medicine, Tianjin Medical University, Tianjin, China.
Wen ZhangDepartment of Rehabilitation Medicine, TEDA International Cardiovascular Hospital, Cardiovascular Clinical College of Tianjin Medical University, Tianjin, China.
Haifang YinDepartment of Cell Biology and Research Center of Basic Medical Science, Tianjin Medical University, Tianjin, China.
Kaijun NiuNutritional Epidemiology Institute, Tianjin Medical University, Tianjin, China.
Qi GuoDepartment of Rehabilitation Medicine, TEDA International Cardiovascular Hospital, Cardiovascular Clinical College of Tianjin Medical University, Tianjin, China. guoqijp@gmail.com.
Tianjin Medical University · CNTEDA International Cardiovascular Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study is to investigate the relationship between sarcopenia and cardiovascular risk factors (CVRF) in the Chinese elderly. A total of 1611 elderly individuals aged ≥60 years were enrolled in this study. The well-established CVRF of diabetes, hypertensions, and dyslipidemia were assessed. Sarcopenia was defined according to the recommended algorithm of the Asian Working Group for Sarcopenia (AWGS). Multiple logistic regression analyses and the linear regressions were used to evaluate the components of CVRF and the number of CVRF of elderly patients with sarcopenia. After adjusting for potential confounders, CVRF was associated with a high prevalence of sarcopenia in elderly Chinese populations. Furthermore, diabetes and hypertension, but not dyslipidemia, were found to be significantly associated with sarcopenia. The OR and 95% CI for sarcopenia of the participants with 1, 2, and 3 features of CVRF were 2.27(1.14-4.48), 4.13(1.80-9.46), and 4.90(1.01-23.81), respectively. A linear increase in the prevalence of sarcopenia was found to be associated with the number of CVRF components in the elderly population (P values for the trends < 0.001). Knowledge of known CVRF, particularly diabetes and hypertension, may help predict the risk for sarcopenia in the elderly.

Indexed as

AgedAged, 80 and overAge FactorsBiomarkersCardiovascular DiseasesChinaFemaleGeriatric AssessmentHumansMaleMiddle AgedPrevalencePublic Health SurveillanceRisk AssessmentRisk FactorsSarcopeniaBiomarkers

Identifiers

PMID28851881
PMCPMC5575090
OpenAlexW2748082146

What OpenQuestion holds

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LicenceCC BY
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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.