| Title |
Bone strength and management of postmenopausal fracture risk with antiresorptive therapies: considerations for women’s health practice
|
|---|---|
| Published in |
International Journal of Women's Health, September 2016
|
| DOI | 10.2147/ijwh.s112621 |
| Pubmed ID | |
| Authors |
Sonja Elsaid, H Frame, Michael Ho, ES Mackinnon, Jacques Brown, Angela Cheung |
| Abstract |
Bone strength - and, hence, fracture risk - reflects the structural and material properties of the skeleton, which changes with bone turnover during aging and following effective pharmacotherapy. A variety of powerful new techniques (quantitative computed tomography, as well as peripheral quantitative computed tomography and high-resolution peripheral quantitative computed tomography) provide precise images of bone structure and can be used to model the response of specific bones to different types of mechanical load. This review explores the various components of bone strength and the clinical significance of measures, such as bone mineral density, bone turnover markers, and modern imaging data, with regard to fracture risk in women with postmenopausal osteoporosis, before and after initiating antiresorptive therapy. These imaging and related techniques offer an ever-clearer picture of the changes in bone structure and bone mineral metabolism during normal aging and in osteoporosis, as well as in response to treatment. However, because the newer techniques are not yet available in routine practice, validated tools for absolute fracture risk assessment remain essential for clinical decision making. These tools, which are tailored to patient risk data in individual countries, are based on bone mineral density and other readily available clinical data. In addition, bone turnover marker measurements can be useful in assessing risk and guiding treatment decisions for women with postmenopausal osteoporosis. Such tests may be used before starting a patient on antiresorptive therapy and for ongoing monitoring of treatment effectiveness. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
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 % |
|---|---|---|
| India | 1 | 2% |
| Unknown | 45 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 17% |
| Researcher | 7 | 15% |
| Student > Ph. D. Student | 6 | 13% |
| Student > Bachelor | 5 | 11% |
| Lecturer | 3 | 7% |
| Other | 3 | 7% |
| Unknown | 14 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 30% |
| Engineering | 4 | 9% |
| Biochemistry, Genetics and Molecular Biology | 3 | 7% |
| Agricultural and Biological Sciences | 2 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Other | 7 | 15% |
| Unknown | 14 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 November 2016.
All research outputs
#16,725,573
of 25,582,611 outputs
Outputs from International Journal of Women's Health
#515
of 850 outputs
Outputs of similar age
#217,198
of 348,930 outputs
Outputs of similar age from International Journal of Women's Health
#13
of 19 outputs
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