
doi: 10.1007/bf02018833
pmid: 8746837
This article reviews the distinguishing features of epidemiology and clinical medicine and their interdependence in clinical epidemiology as applied to vascular disease. Selected literature is reviewed to emphasize the principles of clinical epidemiology for five vascular disorders: abdominal aortic aneurysms, lower extremity peripheral arterial occlusive disease, cerebrovascular disease, deep vein thrombosis and pulmonary embolism, and varicose veins. These vascular disorders are prevalent and pose significant risks for death and disability. Many have risk factors that can be controlled. All can be treated by vascular surgery, but outcomes including functional health and well-being may fall short of that which is implied in our traditional surgical literature. Appropriate allocation of resources to detect and treat vascular disease demands that clinicians not only assume responsibility for the care of individual patients but also develop a working knowledge of the clinical epidemiology of vascular health and disease and its management within populations.
Patient Care Team, Cross-Sectional Studies, Risk Factors, Incidence, Humans, Vascular Diseases, Prognosis
Patient Care Team, Cross-Sectional Studies, Risk Factors, Incidence, Humans, Vascular Diseases, Prognosis
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 10 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
