Faculty Collaboration Database

Epidemiologic analysis of existing data to investigate hypertensive renal disease: an example from the Maryland End-Stage Renal Disease Registry. Am J Kidney Dis 1993 Apr;21(4 Suppl 1):15-24

Date

04/01/1993

Pubmed ID

8465831

DOI

10.1016/s0272-6386(12)80857-2

Scopus ID

2-s2.0-0027278492 (requires institutional sign-in at Scopus site)   20 Citations

Abstract

Observational epidemiology provides powerful methods for studying the etiology and natural history of renal disease in populations. Existing data sets can be used in the conduct of cross-sectional, case-control, and cohort studies that complement experimental investigations. Analysis of existing data sets is extremely efficient and, in many instances, provides results of similar quality to those derived from studies that depend on the collection of original data. A study based on linkage of hypertensive end-stage renal disease (ESRD) incidence rates from the Maryland Regional ESRD Registry with corresponding prevalence data from a state-wide survey of cardiovascular risk factors (The Maryland Statewide Household Hypertension Survey) illustrates the power, efficiency, and flexibility of observational epidemiologic methods in investigating racial differences in hypertensive ESRD. Such analyses can both test previously established hypotheses and generate new hypotheses for subsequent investigation.

Author List

Brancati FL, Whelton PK, Whittle JC, Klag MJ

Author

Jeffrey Whittle MD Professor in the Medicine department at Medical College of Wisconsin

MESH terms used to index this publication - Major topics in bold

Adult
Epidemiologic Methods
Humans
Hypertension
Incidence
Kidney Failure, Chronic
Maryland
Middle Aged
Multivariate Analysis
Registries
Regression Analysis
Risk Factors