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The relationship of blood glucose with cardiovascular disease is mediated over time by traditional risk factors in type 1 diabetes: the DCCT/EDIC study

Overview of attention for article published in Diabetologia, July 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
The relationship of blood glucose with cardiovascular disease is mediated over time by traditional risk factors in type 1 diabetes: the DCCT/EDIC study
Published in
Diabetologia, July 2017
DOI 10.1007/s00125-017-4374-4
Pubmed ID
Authors

Ionut Bebu, Barbara H. Braffett, Rodica Pop-Busui, Trevor J. Orchard, David M. Nathan, John M. Lachin, the DCCT/EDIC Research Group

Abstract

Chronic hyperglycaemia, as measured by HbA1c levels, is a major risk factor for atherosclerosis and cardiovascular disease (CVD) in type 1 diabetes. Our aim was to describe the degree to which the effect of HbA1c on the risk of CVD is mediated by its effect on traditional risk factors over time, and how these mediation pathways change over time. The DCCT and its observational follow-up study, the Epidemiology of Diabetes Interventions and Complications (EDIC), followed 1441 participants for a mean of 27 years, with periodic measurement of HbA1c and risk factors over time. We assessed the proportion of the HbA1c effect on risk of CVD that was mediated through its effects on systolic BP (SBP), pulse rate, triacylglycerols and LDL-cholesterol (LDLc) levels, and how the proportion mediated changed over time. The association of HbA1c with CVD outcomes was stable over time, while that of traditional risk factors (SBP, pulse rate, triacylglycerols and LDLc) increased. At 10 years of follow-up, the effect of HbA1c on 10 year CVD risk was minimally mediated by SBP (2.7%), increasing to 26% at 20 years. Likewise, from 10 year follow-up to 20 year follow-up, the proportion of HbA1c effect mediated through pulse rate increased from 6.3% to 29.3%, through triacylglycerols from 2.2% to 22.4%, and through LDLc from 9.2% to 30.7%. As participants age, the predictive association of mean HbA1c on subsequent CVD events is increasingly mediated by its effect on standard risk factors. Thus, management of traditional non-glycaemic CVD risk factors may have increasing benefits in an ageing type 1 diabetes population with longstanding hyperglycaemia. ClinicalTrials.gov NCT00360893 and NCT00360815.

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The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Other 9 17%
Student > Ph. D. Student 7 13%
Student > Master 4 7%
Researcher 4 7%
Student > Bachelor 3 6%
Other 5 9%
Unknown 22 41%
Readers by discipline Count As %
Medicine and Dentistry 17 31%
Nursing and Health Professions 4 7%
Agricultural and Biological Sciences 2 4%
Business, Management and Accounting 1 2%
Immunology and Microbiology 1 2%
Other 3 6%
Unknown 26 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 06 October 2017.
All research outputs
#4,580,533
of 24,366,830 outputs
Outputs from Diabetologia
#1,962
of 5,249 outputs
Outputs of similar age
#75,635
of 315,641 outputs
Outputs of similar age from Diabetologia
#60
of 87 outputs
Altmetric has tracked 24,366,830 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,249 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.0. This one has gotten more attention than average, scoring higher than 61% of its peers.
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 315,641 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.