Cargando…
Genetic Testing and Surveillance of Young Breast Cancer Survivors and Blood Relatives: A Cluster Randomized Trial
SIMPLE SUMMARY: Identifying breast cancer patients with pathogenic mutations that run in their families may improve the follow-up care they receive and breast cancer screening of their close relatives. In this study we identified breast cancer patients with high chances of having a pathogenic mutati...
Autores principales: | Katapodi, Maria C., Ming, Chang, Northouse, Laurel L., Duffy, Sonia A., Duquette, Debra, Mendelsohn-Victor, Kari E., Milliron, Kara J., Merajver, Sofia D., Dinov, Ivo D., Janz, Nancy K. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7563571/ https://www.ncbi.nlm.nih.gov/pubmed/32899538 http://dx.doi.org/10.3390/cancers12092526 |
Ejemplares similares
-
Using a state cancer registry to recruit young breast cancer survivors and high-risk relatives: protocol of a randomized trial testing the efficacy of a targeted versus a tailored intervention to increase breast cancer screening
por: Katapodi, Maria C, et al.
Publicado: (2013) -
Development of a Web-based Family Intervention for BRCA Carriers and Their Biological Relatives: Acceptability, Feasibility, and Usability Study
por: Katapodi, Maria C, et al.
Publicado: (2018) -
Predictors and interdependence of family support in a random sample of long‐term young breast cancer survivors and their biological relatives
por: Katapodi, Maria C., et al.
Publicado: (2018) -
Genetic Literacy and Communication of Genetic Information in Families Concerned with Hereditary Breast and Ovarian Cancer: A Cross-Study Comparison in Two Countries and within a Timeframe of More Than 10 Years
por: Pedrazzani, Carla, et al.
Publicado: (2021) -
Machine learning-based lifetime breast cancer risk reclassification compared with the BOADICEA model: impact on screening recommendations
por: Ming, Chang, et al.
Publicado: (2020)