2021
DOI: 10.1002/jbm4.10532
|View full text |Cite
|
Sign up to set email alerts
|

Independent External Validation of FRAX and Garvan Fracture Risk Calculators: A Sub‐Study of the FRISBEE Cohort

Abstract: This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process which may lead to differences between this version and the Version of Record. Please cite this article as

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
6
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
7

Relationship

3
4

Authors

Journals

citations
Cited by 13 publications
(6 citation statements)
references
References 27 publications
0
6
0
Order By: Relevance
“…Berry et al compared the results of traditional survival analysis (Kaplan-Meier or Cox proportional hazards regression) with a competing risk approach to estimate the risk of a second hip fracture and concluded indeed that in older populations (median age at first fracture was 81 years and ranged from 45 to 99 years) survival analysis overestimated the 5-year risk of second hip fracture by 37% and the 10-year risk by 75% when compared with competing risk estimates ( 31 ). Our previous studies of existing prediction models applied to patients included in the FRISBEE cohort ( 14 , 32 ) showed important calibration problems in part linked, for MOFs, to the discordance between MOFs/hip incident ratios and those used for the Belgium FRAX construction ( 32 ).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Berry et al compared the results of traditional survival analysis (Kaplan-Meier or Cox proportional hazards regression) with a competing risk approach to estimate the risk of a second hip fracture and concluded indeed that in older populations (median age at first fracture was 81 years and ranged from 45 to 99 years) survival analysis overestimated the 5-year risk of second hip fracture by 37% and the 10-year risk by 75% when compared with competing risk estimates ( 31 ). Our previous studies of existing prediction models applied to patients included in the FRISBEE cohort ( 14 , 32 ) showed important calibration problems in part linked, for MOFs, to the discordance between MOFs/hip incident ratios and those used for the Belgium FRAX construction ( 32 ).…”
Section: Discussionmentioning
confidence: 99%
“…FRAX and Garvan have been internationally validated, but their external calibration was not always found to be optimal, notably because the distribution of risk factors and of fracture types vary across different populations ( 12-15 ). In terms of predictive accuracy, these tools have been reported to have area under the receiver operating curve (AUROC) values ranging between 0.6 and 0.8, which is considered to be acceptable to good ( 14 , 15 ). This suboptimal performance is inherent to the stochastic aspect of external factors causing fractures (eg, low trauma, physical strain) but could also result in part from the fact that some important risk factors were not included in the risk estimation, such as falls in the FRAX tool.…”
mentioning
confidence: 99%
“…Still, clinical judgement should assume even higher risk for very high glucocorticoid doses, even when given for < 3 months duration ( 109 ). Of note, national FRAX ® models may require recalibration, as recently shown by a large Belgian population-based study ( 110 , 111 ).…”
Section: Resultsmentioning
confidence: 99%
“…The three models have a moderate discriminative value, with AUCs between 0.6 to 0.8, similar to those reported for FRAX and Garvan, used to evaluate the fracture risk at 5 or 10 years. ( 28,38,39 ) The model for central imminent fracture had a greater predictive power than the models for MOFs or all fractures.…”
Section: Discussionmentioning
confidence: 96%
“…The estimated 2‐year risks of our imminent fracture models for MOFs and all fractures were compared by concordance analysis with the 10‐ and 5‐years risks derived from FRAX (Belgium) and Garvan models (https://www.garvan.org.au/bone-fracture-risk/), respectively, using baseline data with BMD. Concerning falls, to overcome some limitations when dealing with missing falls history data in the computation of the Garvan score, we used the following falls classification: instead of 0, 1, and 2 falls per year, we used 0, 1.5, and 4.2 for those with no falls, 1 to 3 falls, and 4 or more falls per year, respectively (similar to counting in Baleanu and colleagues ( 28 ) ). However, for our imminent all fractures model, we used falls as a dichotomous variable (yes/no) and we did not take into account their number.…”
Section: Methodsmentioning
confidence: 99%