Regional differences in population‐based cancer survival between six prefectures in Japan: Application of relative survival models with funnel plots

We used new methods to examine differences in population‐based cancer survival between six prefectures in Japan, after adjustment for age and stage at diagnosis. We applied regression models for relative survival to data from population‐based cancer registries covering each prefecture for patients diagnosed with stomach, lung, or breast cancer during 1993–1996. Funnel plots were used to display the excess hazard ratio (EHR) for each prefecture, defined as the excess hazard of death from each cancer within 5 years of diagnosis relative to the mean excess hazard (in excess of national background mortality by age and sex) in all six prefectures combined. The contribution of age and stage to the EHR in each prefecture was assessed from differences in deviance‐based R2 between the various models. No significant differences were seen between prefectures in 5‐year survival from breast cancer. For cancers of the stomach and lung, EHR in Osaka prefecture were above the upper 95% control limits. For stomach cancer, the age‐ and stage‐adjusted EHR in Osaka were 1.29 for men and 1.43 for women, compared with Fukui and Yamagata. Differences in the stage at diagnosis of stomach cancer appeared to explain most of this excess hazard (61.3% for men, 56.8% for women), whereas differences in age at diagnosis explained very little (0.8%, 1.3%). This approach offers the potential to quantify the impact of differences in stage at diagnosis on time trends and regional differences in cancer survival. It underlines the utility of population‐based cancer registries for improving cancer control. (Cancer Sci 2009; 100: 1306–1311)

[1]  H. Tsukuma,et al.  Cancer incidence and incidence rates in Japan in 1988: estimates based on data from ten population-based Cancer Registries. The Research Group for Population-based cancer registration in Japan. , 1994, Japanese journal of clinical oncology.

[2]  Bernard Rachet,et al.  Cancer survival in five continents: a worldwide population-based study (CONCORD). , 2008, The Lancet. Oncology.

[3]  A. Oshima,et al.  Survival of cancer patients diagnosed between 1993 and 1996: a collaborative study of population-based cancer registries in Japan. , 2006, Japanese journal of clinical oncology.

[4]  Paul W Dickman,et al.  Regression models for relative survival , 2004, Statistics in medicine.

[5]  L. Holmberg,et al.  Regional Differences in Breast Cancer Survival Despite Common Guidelines , 2005, Cancer Epidemiology Biomarkers & Prevention.

[6]  Martina Mittlböck,et al.  Adjustments for R 2 -measures for Poisson regression models , 2000 .

[7]  A. Oshima,et al.  Influence of hospital procedure volume on ovarian cancer survival in Japan, a country with low incidence of ovarian cancer , 2004, Cancer science.

[8]  Akira Oshima,et al.  Population‐based study of relationship between hospital surgical volume and 5‐year survival of stomach cancer patients in Osaka, Japan , 2003, Cancer science.

[9]  D. Spiegelhalter,et al.  Funnel plots for institutional comparison , 2002, Quality & safety in health care.

[10]  David J Spiegelhalter,et al.  Funnel plots for comparing institutional performance , 2005, Statistics in medicine.

[11]  D. Forman,et al.  Comparison of cancer survival in UK and Australia: rates are higher in Australia for three major sites , 2004, British Journal of Cancer.

[12]  A. Oshima,et al.  Hospital procedure volume and survival of cancer patients in Osaka, Japan: a population-based study with latest cases. , 2007, Japanese journal of clinical oncology.

[13]  A. Oshima,et al.  Influence of hospital procedure volume on uterine cancer survival in Osaka, Japan , 2005, Cancer science.

[14]  R. De Angelis,et al.  Hodgkin disease survival in Europe and the U.S. , 2006, Cancer.

[15]  厚生労働省大臣官房統計情報部 Abridged life tables for Japan , 2009 .

[16]  Akira Oshima,et al.  Population‐based study of the relationship between hospital surgical volume and 10‐year survival of breast cancer patients in Osaka, Japan , 2003, Cancer science.

[17]  A. Hanai Cancer incidence and incidence rates in Japan in 1998: estimates based on data from 12 population-based cancer registries. , 2003, Japanese journal of clinical oncology.