How much can screening reduce colorectal cancer mortality in Japan? Scenario-based estimation by microsimulation

被引:4
|
作者
Kamo, Ken-Ichi [1 ]
Fukui, Keisuke [2 ]
Ito, Yuri [3 ]
Nakayama, Tomio [4 ]
Katanoda, Kota [5 ]
机构
[1] Sapporo Med Univ, Ctr Med Educ, Sapporo, Hokkaido, Japan
[2] Hiroshima Univ, Grad Sch Adv Sci & Engn, Hiroshima, Japan
[3] Osaka Med & Pharmaceut Univ, Res & Dev Ctr, Osaka, Japan
[4] Natl Canc Ctr Inst Canc Control, Div Screening Assessment & Management, Tokyo, Japan
[5] Natl Canc Ctr Inst Canc Control, Div Surveillance & Policy Evaluat, Tokyo, Japan
关键词
colorectal cancer; microsimulation; screening; RISK-FACTORS; MODEL; COLONOSCOPY;
D O I
10.1093/jjco/hyab195
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
The effect of reducing the age-standardized mortality rate for colorectal cancer was estimated under the various scenario for the rate of participation to the screening by using microsimulation model. Background Screening is one of the effective interventions for the reduction of colorectal cancer mortality. Though the Japanese government recommends faecal occult blood test and colonoscopy as a follow-up examination following a diagnosis, both participation rates have not been so high and the national mortality rate has not shown a clear decreasing trend. Methods Microsimulation models simulate the life histories of a large population of individuals under various scenarios. In this study, we applied a microsimulation model to estimate the reduction of colorectal cancer mortality based on screening scenarios. Results The effect of reducing the age-standardized mortality rate for colorectal cancer was estimated at 9.4% for men and 6.0% for women under the scenario which calls for 50% participation in faecal occult blood test and 90% participation of follow-up examination. This scenario corresponds to the goal setting for screening in the third-term of the Basic Plan to Promote Cancer Control Programs in Japan. Conclusions Our microsimulation model was found to be useful in estimating the mortality reduction effect of cancer control policy. Such modelling techniques can be utilized to develop effective and optimal cancer control programs.
引用
收藏
页码:221 / 226
页数:6
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