Relative survival: what can cardiovascular disease learn from cancer?
OBJECTIVE
To illustrate the application of relative survival to observational studies in coronary heart disease (CHD) and potential advantages compared with all-cause survival methods. Survival after myocardial infarction (MI) is generally assessed using all-cause or cause-specific methods. Neither method is able to assess the impact of the disease or condition of interest in comparison with expected survival in a similar population. Relative survival, the ratio of the observed and the expected survival rates, is applied routinely in cancer studies and may improve on current methods for assessment of survival in CHD.


RESULTS
Using a cohort of subjects after a first recorded acute MI, we discuss the application of relative survival in CHD and illustrate a number of the key issues. We compare the findings from relative survival with those obtained using Cox proportional and non-proportional hazards models in standard all-cause survival. Estimated survival rates are higher using relative survival models compared with all-cause methods.


CONCLUSIONS
Estimates obtained from all-cause mortality fail to disentangle mortality associated with the condition of interest from that due to all other causes. Relative survival gives an estimate of survival due to the disease of interest without the need for cause of death information.
Nelson
Christopher P
CP
Centre for Biostatistics and Genetic Epidemiology, Department of Health Sciences, University of Leicester, 2nd Floor, Adrian Building, University Road, Leicester LE1 7RH, UK. cn46@le.ac.uk
Lambert
Paul C
PC
Squire
Iain B
IB
Jones
David R
DR
D000368:Aged; D002423:Cause of Death; D015179:Colorectal Neoplasms / Q000401:mortality*; D004812:Epidemiologic Methods; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009203:Myocardial Infarction / Q000401:mortality*; D011379:Prognosis