| Title |
Circulating Biomarkers for Predicting Cardiovascular Disease Risk; a Systematic Review and Comprehensive Overview of Meta-Analyses
|
|---|---|
| Published in |
PLOS ONE, April 2013
|
| DOI | 10.1371/journal.pone.0062080 |
| Pubmed ID | |
| Authors |
Thijs C. van Holten, Leonie F. Waanders, Philip G. de Groot, Joost Vissers, Imo E. Hoefer, Gerard Pasterkamp, Menno W. J. Prins, Mark Roest |
| Abstract |
Cardiovascular disease is one of the major causes of death worldwide. Assessing the risk for cardiovascular disease is an important aspect in clinical decision making and setting a therapeutic strategy, and the use of serological biomarkers may improve this. Despite an overwhelming number of studies and meta-analyses on biomarkers and cardiovascular disease, there are no comprehensive studies comparing the relevance of each biomarker. We performed a systematic review of meta-analyses on levels of serological biomarkers for atherothrombosis to compare the relevance of the most commonly studied biomarkers. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 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 207 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 1% |
| Brazil | 2 | <1% |
| Spain | 2 | <1% |
| Netherlands | 1 | <1% |
| Switzerland | 1 | <1% |
| Unknown | 198 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 35 | 17% |
| Researcher | 31 | 15% |
| Student > Master | 29 | 14% |
| Student > Bachelor | 22 | 11% |
| Student > Doctoral Student | 14 | 7% |
| Other | 46 | 22% |
| Unknown | 30 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 82 | 40% |
| Agricultural and Biological Sciences | 25 | 12% |
| Biochemistry, Genetics and Molecular Biology | 17 | 8% |
| Engineering | 6 | 3% |
| Nursing and Health Professions | 5 | 2% |
| Other | 28 | 14% |
| Unknown | 44 | 21% |