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Economics of coronary artery bypass grafting.

Open access
Williams, A·1985·BMJ

Abstract

To decide whether the number of operations for coronary artery bypass grafting should be increased, maintained at the present levels, or decreased we need to know how cost effective they are relative to other claimants on the resources of the National Health Service. For this purpose effectiveness is taken to be the effect on life expectancy adjusted for the quality of life. In an assessment of the cost per quality adjusted life year gained coronary artery bypass grafting rates well for cases of severe angina and extensive coronary artery disease. The cost, however, rises sharply for less severe cases. Bypass grafting seems to compare favourably with valve replacement for aortic stenosis and implantation of pacemakers for heart block; it is distinctly better than heart transplantation and the treatment of end stage renal failure but is probably less cost effective than hip replacement. If the number of operations for coronary artery bypass grafting were to increase it would be a fairly strong claimant only if restricted to the most severe cases. The data on which these judgments are based are crude and in need of refinement. The methodology is powerful, far reaching, and open to comment.

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Metadata

Authors
Williams, A.
Venue
BMJ
Publisher
BMJ
Published
1985-08-03
Volume
291
Issue
6491
Pages
326-329
ISSN
  • 0007-1447 (ISSN-L)
  • 0267-0623
  • 1468-5833
OpenAlex
W2029403518
Cited by
711
References
0
FWCI
134.88
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Economics of coronary artery bypass grafting. https://app.cochat.ai/papers/10.1136/bmj.291.6491.326
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Williams, A. (1985). Economics of coronary artery bypass grafting. BMJ. https://doi.org/10.1136/bmj.291.6491.326

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.