Dutch DisMod for several types of cancer
2000
Using the simulation model context we checked the consistency of
incidence, prevalence and mortality data for specific types of cancer so
as to construct an appropriate data set for chronic disease modelling.
The data sources used were IKZ for regional cancer prevalence rates and
survival proportions, NKR for national incidence rates, and CBS for
national registered cause-specific mortality rates. Consistency checks
were made for lung, rectal, colon, stomach, oesophagus, breast and
prostate cancer. Using national incidence rates and regional survival
proportions and a two-state transition model, we calculated prevalence
and population mortality rates. We compared the calculated rates to
empirical ones. For most types of cancer the calculated prevalence rates
fitted well to the empirical ones, except for lung cancer (females),
breast and prostate cancer. We found several possible explanations for
these differences. The first one was double counts in case of multiple
tumours. Based on data we corrected for double counts for breast cancer.
The second explanation was differences between regional and national
morbidity figures. This was confirmed for lung cancer (females) and
prostate cancer. The third explanation was past trends in disease
incidence. Correcting for these trends resulted in smaller differences
for lung cancer (females), breast and prostate cancer. The calculated
mortality rates fitted well to the empirical ones for the lethal types of
cancer, but less well for those types of cancer with better prognosis,
namely rectal, breast and prostate cancer. These differences could be
explained by competing death risks. Several studies have confirmed this
explanation.
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