The use of clinical risk factors enhances the performance of BMD in the prediction of hip and osteoporotic fractures in men and women

By J. Kanis, A. Odén, O. Johnell, H. Johansson, C. Laet, Jacques P. Brown, P. Burckhardt, Chris Cooper, C. Christiansen, S. Cummings and 19 more. Osteoporosis International, 2007

1,245 citations recorded by the source corpus.

Subfields: Orthopedics and Sports Medicine, Statistics and Probability, Surgery

View Paper: https://www.semanticscholar.org/paper/f6bad5160e9b60cac023658cc30b40c880c9c4b9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Orthopedics and Sports Medicine

In Statistics and Probability

In Surgery

Citations in the corpus

European guidance for the diagnosis and management of osteoporosis in postmenopausal women (2008, methodology): “The use of clinical risk factors in conjunction with BMD and age improves sensitivity of fracture prediction without adverse effects on specificity [77].”
FRAX™ and the assessment of fracture probability in men and women from the UK (2008, methodology): “The model (FRAXTM) uses data derived from nine cohorts from around the world, including centres from North America, Europe, Asia and Australia and has been validated in 11 independent cohorts with a similar geographic distribution [17].”
European guidance for the diagnosis and management of osteoporosis in postmenopausal women (2018, methodology): “Femoral neck BMD can be optionally input to enhance fracture risk prediction [90].”
A Meta‐Analysis of Trabecular Bone Score in Fracture Risk Prediction and Its Relationship to FRAX (2016, methodology): “To explore the independence of the risk factors contained within FRAX, including BMD, and the effect of TBS, alone or with the clinical risk factors, on fracture risk, we deconstructed the FRAX-like model derived from an analysis of women in the Manitoba cohort to provide fracture hazards without an”
External validation of multivariable prediction models: a systematic review of methodological conduct and reporting (2014, methodology): “A good example of a prediction model that has been inadequately reported, making evaluations by independent investigators impossible [36,37], yet appears in numerous clinical guidelines [4,38] is the FRAX model for predicting the risk of osteoporotic fracture [39].”
Comparison of 2 frailty indexes for prediction of falls, disability, fractures, and death in older women. (2008, background): “Reduced energy level 2880 (43) 2 Falls during first year of study 734 (11) 1 New IADL impairmentsd 1912 (35) 1 Incident nonspine fracture 2200 (33) First hip fracture 707 (11) Death 2751 (41)”
FRAX and its applications to clinical practice. (2009, methodology): “The relationships between risk factors and fracture risk incorporated within FRAX have been constructed using information derived from the primary data of nine population based cohorts from around the world, including centres from North America, Europe, Asia and Australia and has been validated in 1”
UK clinical guideline for the prevention and treatment of osteoporosis (2017, methodology): “The use of risk factors that add information on fracture risk independently of BMD improves the predictive value of the assessment [30, 41] (Evidence level 1a).”
An overview and management of osteoporosis. (2017, background): “There are some other factors that increase fracture risk and osteoporosis, independent of bone mineral density (BMD) (17): - Age of the patient (18) - A low body mass index (BMI<21 kg/m2) is a significant risk factor for hip fracture (19).”
A Comparison of Frailty Indexes for the Prediction of Falls, Disability, Fractures and Mortality in Older Men (2009, result): “similar to that reported for other tools based on the use of clinical risk factors alone.(30) Ascertainment of outcomes in this study was limited to 1 to 3 years, but a prior study in older women(18) suggested that the findings comparing the predictive validity of the SOF index and the CHS index per”
2010 clinical practice guidelines for the diagnosis and management of osteoporosis in Canada: summary (2010, methodology): “Fracture discrimination using the WHO Fracture Risk Assessment tool with bone mineral density is better than the Fracture Risk Assessment tool without bone mineral density or bone mineral density alone.(25) Bone mineral density of the lumbar spine is not considered in the initial risk assessment for”
Trabecular Bone Score: A Noninvasive Analytical Method Based Upon the DXA Image (2014, methodology): “profile.((87)) Preliminary data have shown an incremental improvement in fracture prediction when LS TBS is used in combination with FRAX.”