Jump to: Page Content, Site Navigation, Site Search,
You are seeing this message because your web browser does not support basic web standards. Find out more about why this message is appearing and what you can do to make your experience on this site better.
Published 27 January 2009, doi:10.1136/bmj.b81
Cite this as: BMJ 2009;338:b81
Richard L Tannen, professor of medicine, Mark G Weiner, associate professor of medicine, Dawei Xie, assistant professor of biostatistics and epidemiology
1 University of Pennsylvania School of Medicine, 295 John Morgan Building, 36th and Hamilton Walk, Philadelphia, PA 19104, USA
Correspondence to: R L Tannen tannen{at}mail.med.upenn.edu
Design Data from the UK general practice research database (GPRD) were used to replicate previously performed randomised controlled trials, to the extent that was feasible aside from randomisation.
Studies Six published randomised controlled trials.
Main outcome measure Cardiovascular outcomes analysed by hazard ratios calculated with standard biostatistical methods and a new analytical technique, prior event rate ratio (PERR) adjustment.
Results In nine of 17 outcome comparisons, there were no significant differences between results of randomised controlled trials and database studies analysed using standard biostatistical methods or PERR analysis. In eight comparisons, Cox adjusted hazard ratios in the database differed significantly from the results of the randomised controlled trials, suggesting unmeasured confounding. In seven of these eight, PERR adjusted hazard ratios differed significantly from Cox adjusted hazard ratios, whereas in five they didnt differ significantly, and in three were more similar to the hazard ratio from the randomised controlled trial, yielding PERR results more similar to the randomised controlled trial than Cox (P<0.05).
Conclusions Although observational studies using databases are subject to unmeasured confounding, our new analytical technique (PERR), applied here to cardiovascular outcomes, worked well to identify and reduce the effects of such confounding. These results suggest that electronic medical record databases can be useful to investigate therapeutic effectiveness.
![]()
CiteULike
Complore
Connotea
Del.icio.us
Digg
Reddit
StumbleUpon
Technorati What's this?
Read all Rapid Responses