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Association between glycemic control and antidiabetic drugs in type 2 diabetes mellitus patients with cardiovascular complications

Overview of attention for article published in Drug Design, Development and Therapy, August 2015
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Title
Association between glycemic control and antidiabetic drugs in type 2 diabetes mellitus patients with cardiovascular complications
Published in
Drug Design, Development and Therapy, August 2015
DOI 10.2147/dddt.s87294
Pubmed ID
Authors

Hasniza Zaman Huri, Doris Yew Hui Ling, Wan Azman Wan Ahmad

Abstract

Cardiovascular disease (CVD) is a macrovascular complication in patients with type 2 diabetes mellitus (T2DM). To date, glycemic control profiles of antidiabetic drugs in cardiovascular (CV) complications have not been clearly elucidated. Therefore, this study was conducted retrospectively to assess the association of antidiabetic drugs and glycemic control with CV profiles in T2DM patients. The association of concurrent medications and comorbidities with glycemic control was also investigated. A total of 220 T2DM patients from the University of Malaya Medical Centre, Malaysia, who had at least one CV complication and who had been taking at least one antidiabetic drug for at least 3 months, were included. The associations of antidiabetics, cardiovascular diseases, laboratory parameters, concurrent medications, comorbidities, demographics, and clinical characteristics with glycemic control were investigated. Sulfonylureas in combination (P=0.002) and sulfonylurea monotherapy (P<0.001) were found to be associated with good glycemic control, whereas insulin in combination (P=0.051), and combination biguanides and insulin therapy (P=0.012) were found to be associated with poor glycemic control. Stroke (P=0.044) was the only type of CVD that seemed to be significantly associated with good glycemic control. Other factors such as benign prostatic hyperplasia (P=0.026), elderly patients (P=0.018), low-density lipoprotein cholesterol levels (P=0.021), and fasting plasma glucose (P<0.001) were found to be significantly correlated with good glycemic control. Individualized treatment in T2DM patients with CVDs can be supported through a better understanding of the association between glycemic control and CV profiles in T2DM patients.

Mendeley readers

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 %
Unknown 74 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 13 18%
Student > Master 9 12%
Other 7 9%
Researcher 6 8%
Student > Ph. D. Student 4 5%
Other 10 14%
Unknown 25 34%
Readers by discipline Count As %
Medicine and Dentistry 25 34%
Nursing and Health Professions 6 8%
Biochemistry, Genetics and Molecular Biology 5 7%
Pharmacology, Toxicology and Pharmaceutical Science 4 5%
Psychology 2 3%
Other 5 7%
Unknown 27 36%
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 19 August 2015.
All research outputs
#22,938,588
of 25,576,801 outputs
Outputs from Drug Design, Development and Therapy
#1,715
of 2,254 outputs
Outputs of similar age
#236,684
of 276,760 outputs
Outputs of similar age from Drug Design, Development and Therapy
#115
of 149 outputs
Altmetric has tracked 25,576,801 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 2,254 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. 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 276,760 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 149 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.