Predicting Adverse Health Outcomes in Long-Term Survivors of a Childhood Cancer
AbstractMore than 80% of children and young adults diagnosed with invasive cancer will survive five or more years beyond their cancer diagnosis. This population has an increased risk for serious illness- and treatment-related morbidity and premature mortality. A number of these adverse health outcomes, such as cardiovascular disease and some second primary neoplasms, either have modifiable risk factors or can be successfully treated if detected early. Absolute risk models that project a personalized risk of developing a health outcome can be useful in patient counseling, in designing intervention studies, in forming prevention strategies, and in deciding upon surveillance programs. Here, we review existing absolute risk prediction models that are directly applicable to survivors of a childhood cancer, discuss the concepts and interpretation of absolute risk models, and examine ways in which these models can be used applied in clinical practice and public health. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Moskowitz, C.S.; Oeffinger, K.C. Predicting Adverse Health Outcomes in Long-Term Survivors of a Childhood Cancer. Children 2014, 1, 63-73.
Moskowitz CS, Oeffinger KC. Predicting Adverse Health Outcomes in Long-Term Survivors of a Childhood Cancer. Children. 2014; 1(2):63-73.Chicago/Turabian Style
Moskowitz, Chaya S.; Oeffinger, Kevin C. 2014. "Predicting Adverse Health Outcomes in Long-Term Survivors of a Childhood Cancer." Children 1, no. 2: 63-73.