2022
DOI: 10.1007/s00198-022-06435-6
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Update of the fracture risk prediction tool FRAX: a systematic review of potential cohorts and analysis plan

Abstract: We describe the collection of cohorts together with the analysis plan for an update of the fracture risk prediction tool FRAX with respect to current and novel risk factors. The resource comprises 2,138,428 participants with a follow-up of approximately 20 million person-years and 116,117 documented incident major osteoporotic fractures. Introduction The availability of the fracture risk assessment tool FRAX® has substantially enhanced the targeting of treatment to those at high risk of fracture with FRAX now … Show more

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Cited by 63 publications
(35 citation statements)
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“…Equally, prediction in elderly people requires specific attention, building on small existing studies of prediction in this population. 36 Updating the FRAX model, which accounts for competing mortality, 37 is planned, but publication of the prediction algorithm will be critical in establishing its external validity. 24…”
Section: Open Access Open Accessmentioning
confidence: 99%
“…Equally, prediction in elderly people requires specific attention, building on small existing studies of prediction in this population. 36 Updating the FRAX model, which accounts for competing mortality, 37 is planned, but publication of the prediction algorithm will be critical in establishing its external validity. 24…”
Section: Open Access Open Accessmentioning
confidence: 99%
“…32 FRAX has also been criticised for only using binary clinical risk factors that do not account for exposure response. 33 This makes robust head-to-head comparisons between CFracture and FRAX difficult (although they should still be performed). The Garvan calculator has also been used to individualise the risk of fragility fractures over 10 years.…”
Section: Discussionmentioning
confidence: 99%
“…Previous results from FRAME reported that patients from Central and Southern America had a lower baseline height than patients from other regions, and that fracture risk was lower despite a consistent number of falls, suggesting that skeletal differences may have contributed to a lower fracture risk in this population when considering the physical mechanics of a fall [ 9 ]. Aside from genetic and physical differences, other studies have reported on the relationship between dietary habits and osteoporosis [ 14 ], whilst a recent review summarising updates to the FRAX® tool note a number of new clinical risk factors that will increase applicability of FRAX®, including severity and treatment of type 2 diabetes, site, number of, and time since previous fracture, and prevalent falls, together emphasising the multi-factorial nature of fracture risk [ 15 ]. Further study would be required in order to determine whether such factors influenced the results observed in these post hoc analyses.…”
Section: Discussionmentioning
confidence: 99%