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Basic Fibroblast Growth Factor Predicts Cardiovascular Disease Occurrence in Participants from the Veterans Affairs Diabetes Trial

Overview of attention for article published in Frontiers in endocrinology, January 2013
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Article details
Title
Basic Fibroblast Growth Factor Predicts Cardiovascular Disease Occurrence in Participants from the Veterans Affairs Diabetes Trial
Published in
Frontiers in endocrinology, January 2013
DOI 10.3389/fendo.2013.00183
Pubmed ID
Authors
Abstract

Aim: Cardiovascular disease (CVD) is a leading cause of morbidity and mortality in adults with type 2 diabetes mellitus. The aim of the present study was to test whether plasma basic fibroblast growth factor (bFGF) levels predict future CVD occurrence in adults from the Veterans Affairs Diabetes Trial (VADT). Methods: Nearly 400 veterans, 40 years of age or older having a mean baseline diabetes duration of 11.4 years were recruited from outpatient clinics at six geographically distributed sites in the VADT. Within the VADT, they were randomly assigned to intensive or standard glycemic treatment, with follow-up as much as seven and one-half years. CVD occurrence was examined at baseline in the patient population and during randomized treatment. Plasma bFGF was determined with a sensitive, specific two-site enzyme-linked immunoassay at the baseline study visit in all 399 subjects and repeated at the year 1 study visit in a randomly selected subset of 215 subjects. Results: One hundred and five first cardiovascular events occurred in these 399 subjects. The best fit model of risk factors associated with the time to first CVD occurrence (in the study) over a seven and one-half year period had as significant predictors: prior cardiovascular event [hazard ratio (HR) 3.378; 95% confidence intervals (CI) 3.079-3.807; P < 0.0001), baseline plasma bFGF (HR 1.008; 95% CI 1.002-1.014; P = 0.01), age (HR 1.027; 95% CI 1.004-1.051; P = 0.019), baseline plasma triglycerides (HR 1.001; 95% CI 1.000-1.002; P = 0.02), and diabetes duration-treatment interaction (P = 0.03). Intensive glucose-lowering was associated with significantly decreased hazard ratios for CVD occurrence (0.38-0.63) in patients with known diabetes duration of 0-10 years, and non-significantly increased hazard ratios for CVD occurrence (0.82-1.78) in patients with longer diabetes duration. Conclusion: High level of plasma bFGF is a predictive biomarker of future CVD occurrence in this population of adult type 2 diabetes.

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Mendeley demographics

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The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Other 3 18%
Student > Bachelor 3 18%
Researcher 3 18%
Student > Ph. D. Student 2 12%
Student > Master 1 6%
Other 1 6%
Unknown 4 24%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 6 35%
Biochemistry, Genetics and Molecular Biology 2 12%
Agricultural and Biological Sciences 2 12%
Neuroscience 1 6%
Engineering 1 6%
Other 0 0%
Unknown 5 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 November 2013.
All research outputs
#31,432,171
of 34,622,316 outputs
Outputs from Frontiers in endocrinology
#11,044
of 19,427 outputs
Outputs of similar age
#316,206
of 347,075 outputs
Outputs of similar age from Frontiers in endocrinology
#159
of 210 outputs
Altmetric has tracked 34,622,316 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 19,427 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 347,075 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 210 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.