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Hereditary cancer risk assessment: essential tools for a better approach

Overview of attention for article published in Hereditary Cancer in Clinical Practice, October 2013
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46 Mendeley
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1 CiteULike
Title
Hereditary cancer risk assessment: essential tools for a better approach
Published in
Hereditary Cancer in Clinical Practice, October 2013
DOI 10.1186/1897-4287-11-16
Pubmed ID
Authors

Israel Gomy, Maria Del Pilar Estevez Diz

Abstract

Hereditary cancer risk assessment (HCRA) is a multidisciplinary process of estimating probabilities of germline mutations in cancer susceptibility genes and assessing empiric risks of cancer, based on personal and family history. It includes genetic counseling, testing and management of at-risk individuals so that they can make well-informed choices about cancer surveillance, surgical treatment and chemopreventive measures, including biomolecular cancer therapies. Providing patients and family members with an appropriate HCRA will contribute to a better process of making decisions about their personal and family risks of cancer. Following individuals at high risk through screening protocols, reassuring those at low risk, and referring those at increased risk of hereditary cancer to a cancer genetics center may be the best suitable approach of HCRA.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 2%
Brazil 1 2%
Unknown 44 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 24%
Student > Ph. D. Student 5 11%
Student > Bachelor 5 11%
Student > Postgraduate 3 7%
Student > Master 3 7%
Other 6 13%
Unknown 13 28%
Readers by discipline Count As %
Medicine and Dentistry 8 17%
Agricultural and Biological Sciences 7 15%
Biochemistry, Genetics and Molecular Biology 5 11%
Nursing and Health Professions 5 11%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 3 7%
Unknown 16 35%