Effect of Androgen-deprivation Therapy on Bone Mineral Density in Japanese Patients with Prostate Cancer
Abstract
BACKGROUND/AIM: To evaluate bone mineral density (BMD) in Japanese patients with prostate cancer (PCa) after administering androgen deprivation therapy (ADT) for 2 years.
PATIENTS AND METHODS: A total of 84 Japanese patients with PCa were enrolled in this study during the period 2008-2011. BMD was measured by dual energy X-ray absorptiometry, every 6 months. The fracture risk assessment tool (FRAX) score was calculated before starting ADT. We evaluated the change in BMD over a 2-year period and the relationship between this change, the FRAX score, and the estimated glomerular filtration rate (eGFR).
RESULTS: Compared to baseline, BMD decreased by 2.50% at 6 months after ADT, by 4.28% after 12 months, by 5.34% after 18 months, and by 6.16% after 2 years (all p<0.05). Multivariate analysis revealed that the eGFR, according to a threshold rate of 73.5 ml/min, was a significant factor in BMD.
CONCLUSION: Lumbar BMD in Japanese patients with PCa decreased by 4.28% at 1 year after ADT and by 6.16% after 2 years. We found a correlation between the decrease in BMD and the eGFR before initiating ADT, suggesting a small BMD reduction in patients with PCa who have good renal function.
How strong is the evidence?
Evidence Hub reads this as a cohort study, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence. Reported size: 84 participants or records.
Read the paper
Related studies
- Benign periarticular, bone and joint lipomatous lesions
- A review of the physiological and histological effects of laser osteotomy
- Quality of bone healing: perspectives and assessment techniques
- Effects of bioactive lipids and lipoproteins on bone
- Bone structure and function
- Quantifying bone structure, micro-architecture, and pathophysiology with MRI.
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.