Circulation, Vol 65, 27-32, Copyright © 1982 by American Heart Association
RA Rosati, KL Lee, RM Califf, DB Pryor and FE Harrell Jr
In this report, we summarize the strengths and problems of an observational
data base approach to evaluating therapy and studying patient outcomes in
long-term chronic disease. Because this approach includes a greater
spectrum of patients than randomized clinical trials, it offers a definite
advantage with regard to the elucidation of prognostic factors and the
application of results to specific patients. The major difficulty with the
observational data base approach is that the important prognostic factors
must be known for treatment comparisons to be valid. Both the observational
data base and randomized trial approaches are susceptible to criticism
because the multiple comparisons and multiple experiments usually involved
make the results of any one study not definitive. Either approach is useful
in generating or confirming a hypothesis about particular subgroups.
Regardless of the method used, proof that a particular therapy increases
survival in any group or subgroup of patients with coronary artery disease
usually requires confirmation by multiple studies. Finally, observational
data base approach, because it capitalizes on data generated and paid for
in the patient care process, offers the most feasible approach for
evaluating whether changes in prognosis are occurring over time and whether
such changes are independent of the mix of the patient population.
ARTICLES
Problems and advantages of an observational data base approach to evaluating the effect of therapy on outcome
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