2010
DOI: 10.1016/j.bone.2010.02.012
|View full text |Cite
|
Sign up to set email alerts
|

Ten-year probability of osteoporotic fracture in 2012 Polish women assessed by FRAX and nomogram by Nguyen et al.—Conformity between methods and their clinical utility

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
37
1
1

Year Published

2010
2010
2020
2020

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 60 publications
(39 citation statements)
references
References 19 publications
0
37
1
1
Order By: Relevance
“…In this context, an AUC of greater than 0.8 might (rather arbitrarily) signify a good test, but the same criterion is not appropriate for predictive algorithms. A frequent abuse of ROC curves arises from a mistaken belief [2][3][4][5][6][7][8]10] that they capture all that is required to judge the performance characteristics of a test. This ignores three fundamental limitations of such analyses, namely, & a lack of sensitivity of ROC analyses to additional variables, & the inappropriateness of comparing AUCs across studies and & the inability of ROC to determine the use of a clinical tool to identify risk categories for intervention.…”
Section: Limitations and Abuse Of Roc Analysesmentioning
confidence: 99%
See 1 more Smart Citation
“…In this context, an AUC of greater than 0.8 might (rather arbitrarily) signify a good test, but the same criterion is not appropriate for predictive algorithms. A frequent abuse of ROC curves arises from a mistaken belief [2][3][4][5][6][7][8]10] that they capture all that is required to judge the performance characteristics of a test. This ignores three fundamental limitations of such analyses, namely, & a lack of sensitivity of ROC analyses to additional variables, & the inappropriateness of comparing AUCs across studies and & the inability of ROC to determine the use of a clinical tool to identify risk categories for intervention.…”
Section: Limitations and Abuse Of Roc Analysesmentioning
confidence: 99%
“…However, flaws may arise when FRAX probabilities are compared with observed incidences [1,3,4,6,8,10,23]. For example, two papers [3,4], undertaking such comparisons, suggested that FRAX overestimated the incidence of hip fracture when BMD was not entered into the model and underestimated hip fracture risk when BMD was included (Table 5).…”
Section: Comparing Incidences and Probabilitiesmentioning
confidence: 99%
“…Several factors influence osteoporosis, such as endocrine factors, genetic factors, and nutritional factors (in youth, the nutrients are used for synthesis of bone matrix, which is critical for bone growth) Johansson et al, 2010;Pluskiewicz et al, 2010). Alendronate promotes bone regeneration and healing of bone tissue damage by decreasing the number of osteoclasts and increasing the number of osteoblasts, which is observed in osteoporosis (Pressman et al, 2011).…”
Section: Discussionmentioning
confidence: 99%
“…The prediction accuracy of FRAX was examined in several studies and FRAX may underestimate the risk of fractures [9,10]. When compared to other risk assessment methods, FRAX performs similarly or better than other simpler methods (based on age, previous fracture or BMD), outcomes on comparison with other calculators are inconsistent [11][12][13][14][15][16][17][18]. However, construction on multiple population cohorts, external validation, applicability to various countries, output as absolute risk and inclusion of risk factors amenable to treatment are major advantages of FRAX compared to other risk assessment tools [19,20].…”
Section: Discussionmentioning
confidence: 99%