Literature DB >> 10408687

Estimating relative survival among people registered with cancer in England and Wales.

G K Reeves1, V Beral, D Bull, M Quinn.   

Abstract

Because routinely collected survival data for cancer patients in England and Wales do not typically specify cause of death, conventional estimates of survival in cancer patients based on such data are a measure of their mortality from all causes rather than their mortality due to cancer. As a result, trends in survival over time are difficult to interpret because changes in overall survival may well reflect changes in the risk of death from other causes, rather than from the cancer of interest. One way of overcoming this problem is to use some form of 'relative survival' defined as a measure of survival corrected for the effect of other independent causes of death. Since this concept was first introduced, various methods for calculating relative survival have been proposed and this had led to some confusion as to the most appropriate choice of estimate. This paper aims to provide an introduction to the concept of relative survival and reviews some of the suggested methods of estimation. In addition, a particularly simple, but robust approach, is highlighted based on expected and observed mortality. This method is illustrated using preliminary data from the Office for National Statistics on cancer survival in patients born after 1939 and diagnosed with cancer during 1972-84. The examples presented, although limited to analyses on a small number of selected sites, highlight some encouraging trends in survival in people aged under 35 diagnosed with leukaemia, Hodgkin's disease and testicular cancer during this period.

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Year:  1999        PMID: 10408687      PMCID: PMC2362154          DOI: 10.1038/sj.bjc.6690005

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


  14 in total

1.  The relative survival rate: a statistical methodology.

Authors:  F EDERER; L M AXTELL; S J CUTLER
Journal:  Natl Cancer Inst Monogr       Date:  1961-09

2.  A note on the calculation of expected survival, illustrated by the survival of liver transplant patients.

Authors:  B L Thomsen; N Keiding; D G Altman
Journal:  Stat Med       Date:  1991-05       Impact factor: 2.373

3.  Calculation of survival rates for cancer.

Authors:  J BERKSON; R P GAGE
Journal:  Proc Staff Meet Mayo Clin       Date:  1950-05-24

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Authors:  T Hakulinen
Journal:  J Chronic Dis       Date:  1977-07

5.  Relative survival and the estimation of net survival: elements for further discussion.

Authors:  J Estève; E Benhamou; M Croasdale; L Raymond
Journal:  Stat Med       Date:  1990-05       Impact factor: 2.373

6.  Cancer survival corrected for heterogeneity in patient withdrawal.

Authors:  T Hakulinen
Journal:  Biometrics       Date:  1982-12       Impact factor: 2.571

7.  A computer program package for relative survival analysis.

Authors:  T Hakulinen; K H Abeywickrama
Journal:  Comput Programs Biomed       Date:  1985

8.  The curability of breast cancer.

Authors:  D Brinkley; J L Haybrittle
Journal:  Lancet       Date:  1975-07-19       Impact factor: 79.321

9.  Trends in childhood and adolescent cancer survival in Sweden 1960 through 1984.

Authors:  H O Adami; B Glimelius; P Sparén; L Holmberg; U B Krusemo; J Pontén
Journal:  Acta Oncol       Date:  1992       Impact factor: 4.089

10.  Trends in survival for childhood cancer in Britain diagnosed 1971-85.

Authors:  C A Stiller; K J Bunch
Journal:  Br J Cancer       Date:  1990-11       Impact factor: 7.640

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