Identification of patients for clinical risk assessment by prediction of cardiovascular risk using default risk factor values
Bibliographic Data
| ID | 15375307 |
|---|---|
| Authors | Terence Marshall (0000-0003-2485-6594), Tom Marshall (0000-0001-9277-5214, University of Birmingham, corresponding author) |
| Year | 2008 |
| Volume | 8 |
| Issue | 1 |
| Pages | 25-25 |
| Publication date | 2008-01-23 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | BMC Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1471-2458 • E-ISSN: 1471-2458 |
| Publisher | BioMed Central (PUBLISHER • GB) |
| DOI | 10.1186/1471-2458-8-25 |
| PMID | 18215252 |
| PMCID | PMC2244603 |
| OpenAlex | W2063713991 |
| Language | EN |
| Citations received | 3 |
| References cited | 8 |
Using routine data held on primary care databases it is possible to identify a population at high risk of cardiovascular disease. Information technology to help primary care prioritise patients for cardiovascular disease prevention may improve the efficiency of cardiovascular risk assessment
Biostatistics · Blood pressure · Disease · Environmental health · Framingham Risk Score · Intensive care medicine · Population · Receiver operating characteristic · Risk assessment · Risk factor · Blood Pressure and Hypertension Studies · Diabetes, Cardiovascular Risks, and Lipoproteins · Health Promotion and Cardiovascular Prevention · Medicine · Emergency Medicine · Epidemiology · Internal Medicine
| Unique citing works | 3 |
|---|---|
| Citations per year | 0,2 |
| Citation span | 2011 - 2012 (2) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 2 |