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| Title |
Evaluating the impact of type 2 diabetes mellitus on cardiovascular risk in persons with metabolic syndrome using the UKPDS risk engine
|
|---|---|
| Published in |
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, September 2015
|
| DOI | 10.2147/dmso.s69199 |
| Pubmed ID | |
| Authors |
O Stephen Ogedengbe, Ignatius U Ezeani, Ijezie I Chukwuonye, Ernest N Anyabolu, Ikemefuna I Ozor, Aihanuwa Eregie |
| Abstract |
The aim of this study is to evaluate the impact of coexistence of metabolic syndrome (MS) and type 2 diabetes mellitus (T2DM) on the estimated cardiovascular risk as calculated using the United Kingdom Prospective Diabetic Study risk engine (UKPDS-RE) and also to determine the impact of the coexistence of MS and T2DM on the 10-year risk of developing coronary heart disease and stroke. This is a cross-sectional study in which convenience sampling technique was used to recruit 124 consecutive persons with T2DM and 96 controls using a questionnaire administered technique. The World Health Organization (WHO) criterion was used to define MS and the UKPDS-RE was used to identify persons with increased risk for stroke and those with increased risk for coronary heart disease. The data obtained were analyzed using SPSS version 16. Statistical comparisons were made with chi-square for comparison of proportions. A P-value of less than 0.05 was taken as statistically significant. Fifteen subjects were identified as having an increased 10-year risk for stroke and ten as having an increased risk for a coronary event. The odds of a T2DM subject with MS having an increased risk for stroke compared with a T2DM subject without MS was 0.9579≈1 while the odds of a T2DM subject with MS developing an increased risk for a coronary event compared with a T2DM subject without MS was =3.451≈3. MS was more common in subjects with T2DM compared with controls (irrespective of the diagnostic criteria used) and MS appears to increase the risk of a coronary event in subjects with T2DM by threefold. Also from this study, MS did not appear to cause an additional increase in the risk of stroke in subjects with T2DM. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 14% |
| Researcher | 5 | 12% |
| Other | 4 | 10% |
| Student > Postgraduate | 4 | 10% |
| Student > Master | 4 | 10% |
| Other | 11 | 26% |
| Unknown | 8 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 43% |
| Nursing and Health Professions | 4 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 7% |
| Veterinary Science and Veterinary Medicine | 1 | 2% |
| Computer Science | 1 | 2% |
| Other | 5 | 12% |
| Unknown | 10 | 24% |
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 27 September 2015.
All research outputs
#23,475,307
of 26,150,873 outputs
Outputs from Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy
#1,018
of 1,207 outputs
Outputs of similar age
#239,494
of 278,427 outputs
Outputs of similar age from Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy
#17
of 17 outputs
Altmetric has tracked 26,150,873 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 1,207 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. 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 278,427 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 17 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.