Development of Individual Probabilities Estimating Program of Major Cancer in Koreans.
- Author:
Myung Chul CHANG
1
;
Seung Keun OH
Author Information
1. Department of Surgery, Seoul National University College of Medicine, Korea. osk@snu.ac.kr
- Publication Type:Original Article
- Keywords:
Cancer;
Individual Probability;
Estimation;
Korean
- MeSH:
Breast;
Breast Neoplasms;
Case-Control Studies;
Cervix Uteri;
Colorectal Neoplasms;
Discrimination (Psychology);
Female;
Liver;
Liver Neoplasms;
Logistic Models;
Lung Neoplasms;
Mass Screening;
Risk Assessment;
Risk Factors;
Risk Reduction Behavior;
Stomach;
Stomach Neoplasms
- From:Journal of Korean Society of Medical Informatics
2008;14(4):355-371
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
OBJECTIVE: This study was performed to develop a program for predicting individual cancer risk and to validate its discrimination power between case and control groups. METHODS: The author used the five databases for searching journals about risk factors of six major cancers in Koreans: stomach, liver, colorectal, breast, uterine cervix and lung cancer. The risk models were selected from journals presenting a multivariate linear logistic regression analysis. The baseline hazards which had no risk factors were calculated, and a cancer risk assessment program was developed using relative risks based on risk factors' combination and baseline hazards. Case-control study was performed for five years to validate the program. RESULTS: The discrimination power between case and control was 0.827 in stomach cancer, 0.949 in liver cancer, 0.594 in colorectal cancer, 0.587 in breast cancer, 0.708 in uterine cervix cancer and 0.663 in lung cancer. The estimated cancer probabilities were higher in all case groups compared to the control groups. CONCLUSION: The developed program is considered to be a valid tool for estimating probabilities of cancer development in Koreans. It is expected to be useful for the assessment of individual cancer risks, the selection of screening tools and preventive options for risk reduction.
