title: Risk prediction model for colorectal cancer: National Health Insurance Corporation study, Korea.
abstract: OBJECTIVE
  Incidence and mortality rates of colorectal cancer have been rapidly increasing in Korea during last few decades. Development of risk prediction models for colorectal cancer in Korean men and women is urgently needed to enhance its prevention and early detection.
  
  
  METHODS
  Gender specific five-year risk prediction models were developed for overall colorectal cancer, proximal colon cancer, distal colon cancer, colon cancer and rectal cancer. The model was developed using data from a population of 846,559 men and 479,449 women who participated in health examinations by the National Health Insurance Corporation. Examinees were 30-80 years old and free of cancer in the baseline years of 1996 and 1997. An independent population of 547,874 men and 415,875 women who participated in 1998 and 1999 examinations was used to validate the model. Model validation was done by evaluating its performance in terms of discrimination and calibration ability using the C-statistic and Hosmer-Lemeshow-type chi-square statistics.
  
  
  RESULTS
  Age, body mass index, serum cholesterol, family history of cancer, and alcohol consumption were included in all models for men, whereas age, height, and meat intake frequency were included in all models for women. Models showed moderately good discrimination ability with C-statistics between 0.69 and 0.78. The C-statistics were generally higher in the models for men, whereas the calibration abilities were generally better in the models for women.
  
  
  CONCLUSIONS
  Colorectal cancer risk prediction models were developed from large-scale, population-based data. Those models can be used for identifying high risk groups and developing preventive intervention strategies for colorectal cancer.
authors.affiliation: Molecular Epidemiology Branch, National Cancer Center, Goyang-si, Republic of Korea.
authors.forename: Aesun
authors.initials: A
authors.lastname: Shin
authors.affiliation: Biometric Research Branch, National Cancer Center, Goyang-si, Republic of Korea.
authors.forename: Jungnam
authors.initials: J
authors.lastname: Joo
authors.affiliation: Biometric Research Branch, National Cancer Center, Goyang-si, Republic of Korea.
authors.forename: Hye-Ryung
authors.initials: HR
authors.lastname: Yang
authors.affiliation: Biometric Research Branch, National Cancer Center, Goyang-si, Republic of Korea.
authors.forename: Jeongin
authors.initials: J
authors.lastname: Bak
authors.affiliation: Biometric Research Branch, National Cancer Center, Goyang-si, Republic of Korea.
authors.forename: Yunjin
authors.initials: Y
authors.lastname: Park
authors.affiliation: Molecular Epidemiology Branch, National Cancer Center, Goyang-si, Republic of Korea.
authors.forename: Jeongseon
authors.initials: J
authors.lastname: Kim
authors.affiliation: Center for Colorectal Cancer, National Cancer Center Hospital, National Cancer Center, Goyang-si, Republic of Korea.
authors.forename: Jae Hwan
authors.initials: JH
authors.lastname: Oh
authors.affiliation: Biometric Research Branch, National Cancer Center, Goyang-si, Republic of Korea.
authors.forename: Byung-Ho
authors.initials: BH
authors.lastname: Nam
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D015992:Body Mass Index; D002138:Calibration; D015179:Colorectal Neoplasms / Q000453:epidemiology* / Q000401:mortality; D016208:Databases, Factual; D005260:Female; D006801:Humans; D007348:Insurance, Health; D008297:Male; D008875:Middle Aged; D016016:Proportional Hazards Models; D012042:Registries; D056910:Republic of Korea / Q000453:epidemiology; D018570:Risk Assessment