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The association between glycemic variability and diabetic cardiovascular autonomic neuropathy in patients with type 2 diabetes

Overview of attention for article published in Cardiovascular Diabetology, June 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#50 of 614)
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

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1 news outlet
twitter
3 tweeters
facebook
1 Facebook page

Citations

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74 Dimensions

Readers on

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74 Mendeley
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Title
The association between glycemic variability and diabetic cardiovascular autonomic neuropathy in patients with type 2 diabetes
Published in
Cardiovascular Diabetology, June 2015
DOI 10.1186/s12933-015-0233-0
Pubmed ID
Authors

Ji Eun Jun, Sang-Man Jin, Jongha Baek, Sewon Oh, Kyu Yeon Hur, Myung-Shik Lee, Moon-Kyu Lee, Jae Hyeon Kim

Abstract

It is presently unclear whether glycemic variability is associated with diabetic cardiovascular autonomic neuropathy (CAN). The aim of this study was to examine whether short- and/or long-term glycemic variability (GV) contribute to CAN. A total of 110 patients with type 2 diabetes who underwent three-day continuous glucose monitoring (CGM) completed five standardized autonomic neuropathy tests. Short-term GV was measured by the standard deviation (SD), coefficient of variation (CV) of glucose, and the mean amplitude of glycemic excursions (MAGE) in CGM. HbA1c variability was calculated from the intrapersonal SD, adjusted SD, and CV of serial HbA1c over 2-year period. CAN was defined as the presence of at least two abnormal parasympathetic function tests. The severity of CAN was evaluated by total scores of five autonomic function tests. In univariate analysis, not only SD and CV in CGM but also all parameters of HbA1c variability were significantly higher in the patients with CAN (n = 47, 42.7 %) than in those without CAN. In multivariate analysis, CV (Odds ratio [OR] 1.07, 95 % confidence interval [CI] 1.01-1.13; p = 0.033), but neither SD nor MAGE in CGM, independently correlated with the presence of CAN. All parameters of HbA1c variability, such as SD of HbA1c (OR 12.10 [95 % CI 2.29-63.94], p = 0.003), adjusted SD of HbA1c (OR 17.02 [95 % CI 2.66-108.86], p = 0.003), and log CV of HbA1c (OR 24.00 [95 % CI 3.09-186.48], p = 0.002), were significantly associated with the presence of CAN. The patients with higher HbA1c variability had an increased risk of advanced CAN. CV in CGM and all parameters of HbA1c variability were independently associated with the presence of CAN in patients with inadequately controlled type 2 diabetes requiring CGM.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 1%
United States 1 1%
Unknown 72 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 20%
Student > Bachelor 11 15%
Researcher 10 14%
Student > Postgraduate 5 7%
Other 5 7%
Other 14 19%
Unknown 14 19%
Readers by discipline Count As %
Medicine and Dentistry 37 50%
Nursing and Health Professions 3 4%
Agricultural and Biological Sciences 2 3%
Engineering 2 3%
Economics, Econometrics and Finance 2 3%
Other 9 12%
Unknown 19 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 04 June 2015.
All research outputs
#915,296
of 9,071,450 outputs
Outputs from Cardiovascular Diabetology
#50
of 614 outputs
Outputs of similar age
#29,949
of 224,614 outputs
Outputs of similar age from Cardiovascular Diabetology
#2
of 37 outputs
Altmetric has tracked 9,071,450 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 614 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 91% 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 224,614 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.