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Development of Individual Probabilities Estimating Program of Major Cancer in Koreans / 대한의료정보학회지
Article in Ko | WPRIM | ID: wpr-97942
Responsible library: WPRO
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.
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Full text: 1 Index: WPRIM Main subject: Stomach / Stomach Neoplasms / Breast / Breast Neoplasms / Colorectal Neoplasms / Case-Control Studies / Logistic Models / Cervix Uteri / Mass Screening / Risk Factors Type of study: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Language: Ko Journal: Journal of Korean Society of Medical Informatics Year: 2008 Type: Article
Full text: 1 Index: WPRIM Main subject: Stomach / Stomach Neoplasms / Breast / Breast Neoplasms / Colorectal Neoplasms / Case-Control Studies / Logistic Models / Cervix Uteri / Mass Screening / Risk Factors Type of study: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Language: Ko Journal: Journal of Korean Society of Medical Informatics Year: 2008 Type: Article