Title |
The need for a personalized approach for prostate cancer management
|
---|---|
Published in |
BMC Medicine, May 2015
|
DOI | 10.1186/s12916-015-0344-1 |
Pubmed ID | |
Authors |
JP Michiel Sedelaar, Jack A Schalken |
Abstract |
The stratification of patients for treatment of prostate cancer is based on very general parameters like prostate-specific antigen, Gleason score, and TNM classification. We use these rough parameters for selection of active surveillance, active treatment, and even for the treatment selection in metastasized or castration-resistant prostate cancers. Up to now, we have not used individualized genetic classifiers for detailed sub-stratification, thus treating all patients as equal, and being only moderately successful. With the expected increase in systemic treatments, there is an apparent need for such classifiers. We will address these needs in this short commentary. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 14% |
United States | 1 | 14% |
Australia | 1 | 14% |
United Kingdom | 1 | 14% |
Unknown | 3 | 43% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 57% |
Science communicators (journalists, bloggers, editors) | 2 | 29% |
Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 3% |
France | 1 | 3% |
Unknown | 32 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 24% |
Researcher | 6 | 18% |
Student > Master | 5 | 15% |
Student > Bachelor | 2 | 6% |
Other | 2 | 6% |
Other | 8 | 24% |
Unknown | 3 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 13 | 38% |
Agricultural and Biological Sciences | 5 | 15% |
Biochemistry, Genetics and Molecular Biology | 4 | 12% |
Computer Science | 2 | 6% |
Nursing and Health Professions | 1 | 3% |
Other | 6 | 18% |
Unknown | 3 | 9% |