Development and Application of Chronic Disease Risk Prediction Models
Yonsei Medical Journal
; : 853-860, 2014.
Article
in En
| WPRIM
| ID: wpr-137017
Responsible library:
WPRO
ABSTRACT
Currently, non-communicable chronic diseases are a major cause of morbidity and mortality worldwide, and a large proportion of chronic diseases are preventable through risk factor management. However, the prevention efficacy at the individual level is not yet satisfactory. Chronic disease prediction models have been developed to assist physicians and individuals in clinical decision-making. A chronic disease prediction model assesses multiple risk factors together and estimates an absolute disease risk for the individual. Accurate prediction of an individual's future risk for a certain disease enables the comparison of benefits and risks of treatment, the costs of alternative prevention strategies, and selection of the most efficient strategy for the individual. A large number of chronic disease prediction models, especially targeting cardiovascular diseases and cancers, have been suggested, and some of them have been adopted in the clinical practice guidelines and recommendations of many countries. Although few chronic disease prediction tools have been suggested in the Korean population, their clinical utility is not as high as expected. This article reviews methodologies that are commonly used for developing and evaluating a chronic disease prediction model and discusses the current status of chronic disease prediction in Korea.
Key words
Full text:
1
Index:
WPRIM
Main subject:
Cardiovascular Diseases
/
Chronic Disease
/
Communicable Diseases
/
Risk Factors
/
Korea
/
Models, Theoretical
Type of study:
Etiology_studies
/
Guideline
/
Prognostic_studies
/
Risk_factors_studies
Limits:
Humans
Country/Region as subject:
Asia
Language:
En
Journal:
Yonsei Medical Journal
Year:
2014
Type:
Article