Implications of the Fracture Risk Assessment Algorithm for the assessment and improvement of bone health in patients with prostate cancer: A comprehensive review.
Ashish SharmaRahul Janak SinhaVishwajeet SinghGaurav GargSamarth AgarwalSiddharth PandeyPublished in: Turkish journal of urology (2019)
The FRAX algorithm is beneficial in identifying patients who require early intervention or bone-directed therapy as an early step to decrease skeletal-related events and other morbidity. Several risk factors need to be added for improving the FRAX predictive value. This model is still underutilized in the clinical practice and increasing the awareness among treating physicians will help in optimizing the bone health and the quality of life of this important population subgroup.
Keyphrases
- prostate cancer
- bone mineral density
- risk assessment
- risk factors
- public health
- healthcare
- clinical practice
- machine learning
- soft tissue
- mental health
- bone loss
- deep learning
- primary care
- human health
- bone regeneration
- randomized controlled trial
- health information
- postmenopausal women
- radical prostatectomy
- stem cells
- health promotion
- clinical trial
- body composition
- social media
- bone marrow
- neural network
- replacement therapy