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The role of co-morbidity in the selection of antidiabetic pharmacotherapy in type-2 diabetes

Overview of attention for article published in Cardiovascular Diabetology, April 2013
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3 X users

Citations

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28 Dimensions

Readers on

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111 Mendeley
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Title
The role of co-morbidity in the selection of antidiabetic pharmacotherapy in type-2 diabetes
Published in
Cardiovascular Diabetology, April 2013
DOI 10.1186/1475-2840-12-62
Pubmed ID
Authors

Diethelm Tschöpe, Markolf Hanefeld, Juris J Meier, Anselm K Gitt, Martin Halle, Peter Bramlage, Petra-Maria Schumm-Draeger

Abstract

Metformin is, if not contraindicated and if tolerated, usually preferred over other antidiabetic drugs for the first line treatment of type-2 diabetes. The particular decision on which antidiabetic agent to use is based on variables such as efficacy, cost, potential side effects, effects on weight, comorbidities, hypoglycemia, risk, and patient preferences. However, there is no guidance how to consider these in the selection of antidiabetic drug treatment. In this work, we aimed to summarize available evidence and tried to give pragmatic treatment recommendations from a clinical practice perspective.There are clear contraindications for some drugs in those with impaired renal and liver function and precautions in those with heart failure for the use of metformin (NYHA III-IV) and glitazones. On the other hand, GLP-1 analogs, DPP-4 inhibitors and acarbose are generally less critical and can be used in the majority of patients. We identified the following gaps with respect to the selection of antidiabetic drug treatment in patients with co-morbid disease conditions: 1) Guidelines fail to give advice on the use of specific antidiabetic drugs in patients with co-morbidity. 2) The literature is deficient in studies documenting antidiabetic drug use in patients with severely impaired renal function, diabetic retinopathy, cerebrovascular disease and systolic heart failure. 3) Further there are no specific data on patients with multiple of these co-morbid disease conditions. We postulate that differential use of antidiabetic drugs in patients with co-morbid disease constellations will help to reduce treatment related complications and might improve prognosis.

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The data shown below were collected from the profiles of 3 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 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 2%
Brazil 1 <1%
Unknown 108 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 17%
Student > Bachelor 13 12%
Other 12 11%
Researcher 11 10%
Student > Ph. D. Student 10 9%
Other 21 19%
Unknown 25 23%
Readers by discipline Count As %
Medicine and Dentistry 50 45%
Pharmacology, Toxicology and Pharmaceutical Science 9 8%
Nursing and Health Professions 7 6%
Agricultural and Biological Sciences 6 5%
Biochemistry, Genetics and Molecular Biology 4 4%
Other 8 7%
Unknown 27 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 April 2013.
All research outputs
#15,739,529
of 25,373,627 outputs
Outputs from Cardiovascular Diabetology
#881
of 1,653 outputs
Outputs of similar age
#122,556
of 212,447 outputs
Outputs of similar age from Cardiovascular Diabetology
#10
of 23 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,653 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one is in the 45th percentile – i.e., 45% 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 212,447 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.