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Ann Thorac Surg 2002;74:301-305
© 2002 The Society of Thoracic Surgeons


The statistician’s page

Propensity score analysis of stroke after off-pump coronary artery bypass grafting

Gary L. Grunkemeier, PhD*a, Nicola Payne, MPhiLa, Ruyun Jin, MDa, John R. Handy, Jr, MDa

a Providence Health System, Portland, Oregon, USA

* Address reprint requests to Dr Grunkemeier, 9155 SW Barnes Rd, #33, Portland, OR 97225 USA
e-mail: ggrunkemeier@providence.org

The first 300 words of the full text of this article appear below.

The article by Stamou and colleagues [1] found that the stroke rate after coronary artery bypass grafting (CABG) was lower for off-pump CABG than for conventional, on-pump CABG. Postoperative stroke occurred in 2.5% of on-pump patients and only 1.2% of off-pump CABG patients, for an (unadjusted) odds ratio (OR) of 2.1 for on-pump versus off-pump CABG (see Appendix for definition of OR). Because the two patient groups were not similar with respect to potential risk factors for stroke, they used a logistic regression, which produced an adjusted OR of 1.6. As an adjunctive analysis, they computed a propensity score and used it to find on-pump matches for 72% of the off-pump CABG patients. For these matched subsets the OR for postoperative stroke was 1.8.

This expository article briefly describes propensity scores and demonstrates another way of using them to compare treatments. We apply this method to another data set, and in the process corroborate the findings of Stamou and colleagues.

Propensity score: the concept

Propensity score analysis is about 20 years old, but has only recently begun to be used to any extent in medical research (Fig 1). One of the originators of this method recently wrote an overview article for physicians [2], and another recent review by Eugene Blackstone [3] provides a thorough discussion of this method.


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Fig 1. The number of papers from a Medline search using the text string "propensity score" according to the year of publication. This term has had a recent increase, although it is still not widely used.

 
Randomized studies are considered the highest level of evidence for comparing a treatment with a control. The essential feature of such studies is that some random mechanism controls treatment assignment, therefore each patient has the same probability of receiving the treatment, thus protecting against a biased comparison due to patient . . . [Full Text of this Article]




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