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• W2735236926 endingPage "378" @default.
• W2735236926 startingPage "368" @default.
• W2735236926 abstract "Fracture caused by osteoporosis remains a major public health burden on contemporary populations because fracture is associated with a substantial increase in the risk of mortality. Early identification of high-risk individuals for prevention is a priority in osteoporosis research. Over the past decade, few risk prediction models, including the Garvan Fracture Risk Calculator (Garvan) and FRAX®, have been developed to provide absolute (individualized) risk of fracture. Recent validation studies suggested that the area under the receiver operating characteristic curve in fracture discrimination ranged from 0.61 to 0.83 for FRAX® and from 0.63 to 0.88 for Garvan, with hip fractures having a better discrimination than fragility fractures as a group. Although the prognostic performance of Garvan and FRAX® for fracture prediction is not perfect and there is room for further improvement, these predictive models can aid patients and doctors communicate about fracture risk in the medium term and to make rational decisions. However, the application of these predictive models in making decisions for an individual should take into account the individual's perception of the importance of fracture relative to other diseases." @default.
• W2735236926 created "2017-07-21" @default.
• W2735236926 creator A5068483265 @default.
• W2735236926 creator A5080737658 @default.
• W2735236926 date "2017-07-01" @default.
• W2735236926 modified "2023-09-23" @default.
• W2735236926 title "Fracture Risk Assessment: From Population to Individual" @default.
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• W2735236926 doi "https://doi.org/10.1016/j.jocd.2017.06.023" @default.
• W2735236926 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/28729045" @default.
• W2735236926 hasPublicationYear "2017" @default.

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