| Title |
Role of prediabetes in stroke
|
|---|---|
| Published in |
Neuropsychiatric Disease and Treatment, February 2017
|
| DOI | 10.2147/ndt.s128807 |
| Pubmed ID | |
| Authors |
Milija D Mijajlović, Vuk M Aleksić, Nadežda M Šternić, Mihailo M Mirković, Natan M Bornstein |
| Abstract |
Stroke is one of the leading causes of death and probably the greatest cause of adult disability worldwide. Diabetes mellitus (DM) is a state of accelerated aging of blood vessels. Patients with diabetes have increased risk of stroke. Hyperglycemia represents a risk factor for poor outcome following stroke, and probably is just a marker of poor outcome rather than a cause. Lowering of blood glucose levels has not been shown to improve prognosis. Also, prevention of stroke risk among patients with DM is not improved with therapy for reduction of glucose levels. On the other hand, prediabetes, a metabolic state between normal glucose metabolism and diabetes, is a risk factor for the development of DM type 2 and subsequently for stroke. Several methods are known to identify prediabetes patients, including fasting plasma glucose levels, 2-hour post load glucose levels, and glycosylated hemoglobin levels. In this text, we tried to summarize known data about diagnosis, epidemiology, risk factors, pathophysiology, and prevention of prediabetes in relation to DM and stroke. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 80 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 15 | 19% |
| Student > Master | 10 | 13% |
| Other | 6 | 8% |
| Student > Doctoral Student | 5 | 6% |
| Student > Postgraduate | 4 | 5% |
| Other | 14 | 18% |
| Unknown | 26 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 29% |
| Nursing and Health Professions | 7 | 9% |
| Neuroscience | 4 | 5% |
| Unspecified | 2 | 3% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 9 | 11% |
| Unknown | 33 | 41% |
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 04 February 2017.
All research outputs
#16,124,654
of 25,584,565 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,546
of 3,120 outputs
Outputs of similar age
#243,221
of 426,137 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#40
of 74 outputs
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