scholarly journals Predictive Value of Carotid Distensibility Coefficient for Cardiovascular Diseases and All-Cause Mortality: A Meta-Analysis

PLoS ONE ◽  
2016 ◽  
Vol 11 (4) ◽  
pp. e0152799 ◽  
Author(s):  
Chuang Yuan ◽  
Jing Wang ◽  
Michael Ying
2021 ◽  
Author(s):  
Junpeng Xu ◽  
Ruixiang Zeng ◽  
Xiaoyi Mai ◽  
Wenjun Pan ◽  
Yuzhuo Zhang ◽  
...  

Abstract BackgroundAccumulating evidence suggests that HbA1c levels, a common clinical indicator of chronic glucose metabolism over the preceding 2-3 months, are independent risk factor for cardiovascular disease, including heart failure. The aim of this protocol is to conduct a systematic review and meta-analysis to assess the possible predictive value of HbA1c on mortality and readmission in patients with heart failure.MethodsA systematic and comprehensive search will be performed using PubMed, Embase, Central and other databases before August 2021 to identify relevant trials. All-cause mortality is the pre-specified primary endpoint. Cardiovascular death and heart failure readmission are secondary interested endpoints. We will only include prospective and retrospective cohort trials and place no restrictions on the language, race, region and publication period. The Newcastle-Ottawa Scale will be used to assess the quality of each trial included. If there are sufficient trials, we will conduct meta-analysis with pooled relative risks and corresponding 95% confidence interval to evaluate the possible predictive value of HbA1c on mortality and readmission. Otherwise, we will undertake a narrative synthesis. Heterogeneity and publication bias will be assessed. If heterogeneity is significant among included trails, a sensitivity analysis or subgroup analysis will be used to explore the source of heterogeneity, such as diverse types of heart failure or patients with diabetes and non-diabetes. Also, we will conduct meta-regression to examine the time-effect and treatment-effect modifiers on all-cause mortality compared between different quantile of HbA1c levels. Finally, a restricted cubic spline model may be used to explore the dose-response relationship between HbA1c and adverse outcomes.DiscussionThis planned analysis is anticipated to identify the predictive value of HbA1c on mortality and readmission in patients with heart failure. Improved understanding of different HbA1c levels and their specific effect on diverse types of heart failure or patients with diabetes and non-diabetes is expected to be figured out. Also, a dose-response relationship or optimal range of HbA1c will be determined to instruct clinicians and patients.PROSPERO registration detailsCRD42021276067


Nutrients ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 2636
Author(s):  
Yantong Meng ◽  
Siqi Li ◽  
Jabir Khan ◽  
Zijian Dai ◽  
Chang Li ◽  
...  

Although studies have examined the association between habitual consumption of sugar- (SSBs) and artificially sweetened beverages (ASBs) and health outcomes, the results are inconclusive. Here, we conducted a dose-response meta-analysis of prospective cohort studies in order to summarize the relationship between SSBs and ASBs consumption and risk of type 2 diabetes (T2D), cardiovascular diseases (CVDs), and all-cause mortality. All relevant articles were systematically searched in PubMed, Embase, and Ovid databases until 20 June 2020. Thirty-four studies met the inclusion criteria and were eligible for analysis. Summary relative risks (RRs) and 95% confidence intervals (95% CI) were estimated using random effects or fixed-effects model for highest versus lowest intake categories, as well as for linear and non-linear relationships. With each additional SSB and ASB serving per day, the risk increased by 27% (RR: 1.27, 95%CI: 1.15–1.41, I2 = 80.8%) and 13% (95%CI: 1.03–1.25, I2 = 78.7%) for T2D, 9% (RR: 1.09, 95%CI: 1.07–1.12, I2 = 42.7%) and 8% (RR: 1.08, 95%CI: 1.04–1.11, I2 = 45.5%) for CVDs, and 10% (RR: 1.10, 95%CI: 0.97–1.26, I2 = 86.3%) and 7% (RR: 1.07, 95%CI: 0.91–1.25, I2 = 76.9%) for all-cause mortality. Linear relationships were found for SSBs with T2D and CVDs. Non-linear relationships were found for ASBs with T2D, CVDs, and all-cause mortality and for SSBs with all-cause mortality. The findings from the current meta-analysis indicate that increased consumption of SSBs and ASBs is associated with the risk of T2D, CVDs, and all-cause mortality.


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