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Cardiac valve calcification and risk of cardiovascular or all-cause mortality in dialysis patients: a meta-analysis

Overview of attention for article published in BMC Cardiovascular Disorders, January 2018
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Title
Cardiac valve calcification and risk of cardiovascular or all-cause mortality in dialysis patients: a meta-analysis
Published in
BMC Cardiovascular Disorders, January 2018
DOI 10.1186/s12872-018-0747-y
Pubmed ID
Authors

Zhe Wang, Aili Jiang, Fang Wei, Haiyan Chen

Abstract

Vascular calcification is a risk factor for the pathogenesis of cardiovascular disease and mortality in dialysis patients. Nevertheless, the association between cardiac valve calcification (CVC) and the outcome of dialysis is still illusive. The purpose of this meta-analysis is to evaluate the association between theCVC and cardiovascular or all-cause mortality in dialysis patients. Literatures involving the baseline CVC and cardiovascular or all-cause mortality in dialysis patients were searchedfrom the PubMed, Embase, as well as two Chinese databases (i.e. Wanfang and CNKI databases). Articles published before November 2016were eligible to the study. Ten studies involving 2686 participants were included. CVC was correlated with increased risk of cardiovascular mortality (hazard risk [HR]: 2.81; 95% confidence intervals [CI]: 1.92-4.10) and all-cause mortality (HR: 1.73; 95% CI: 1.42-2.11). Subgroup analysis showed an excess risk of all-cause mortality (HR: 1.35; 95% CI: 1.02-1.79) among patients with one CVC, and increased risk of all-cause mortality in patients with two CVCs (HR 2.15; 95% CI 1.57-2.94). CVC is correlated with higher cardiovascular and all-cause mortality risk in dialysis patients. Regular follow-up monitoring of CVC may be helpful for risk stratification of patients underwent dialysis.

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Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 16%
Researcher 5 9%
Other 4 7%
Professor 3 5%
Student > Ph. D. Student 3 5%
Other 9 16%
Unknown 22 40%
Readers by discipline Count As %
Medicine and Dentistry 16 29%
Nursing and Health Professions 4 7%
Engineering 2 4%
Mathematics 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 5 9%
Unknown 26 47%