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Race-specific FRAX models are evidence-based and support equitable care: a response to the ASBMR Task Force report on Clinical Algorithms for Fracture Risk

a response to the ASBMR Task Force report on Clinical Algorithms for Fracture Risk
Authors: John A. Kanis; Nicholas C. Harvey; Mattias Lorentzon; Enwu Liu; Marian Schini; Bo Abrahamsen; Jonathan D. Adachi; +36 Authors

Race-specific FRAX models are evidence-based and support equitable care: a response to the ASBMR Task Force report on Clinical Algorithms for Fracture Risk

Abstract

Task Force on 'Clinical Algorithms for Fracture Risk' commissioned by the American Society for Bone and Mineral Research (ASBMR) Professional Practice Committee has recommended that FRAX® models in the US do not include adjustment for race and ethnicity. This position paper finds that an agnostic model would unfairly discriminate against the Black, Asian and Hispanic communities and recommends the retention of ethnic and race-specific FRAX models for the US, preferably with updated data on fracture and death hazards. In contrast, the use of intervention thresholds based on a fixed bone mineral density unfairly discriminates against the Black, Asian and Hispanic communities in the US. This position of the Working Group on Epidemiology and Quality of Life of the International Osteoporosis Foundation (IOF) is endorsed both by the IOF and the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO).

Keywords

Race And Ethnicity, 330, Osteoporosis/ethnology, Endocrinology, Diabetes and Metabolism, 321315 Traumatología, Atypical Femur Fracture, Public health, health care sciences & services, Population, race and ethnicity, fracture probability, Sciences de la santé humaine, 320108 Ginecología, Risk Assessment, Santé publique, services médicaux & soins de santé, Racism, Race/Ethnicity, Bone Density, 616, Osteoporotic Fractures/ethnology, Validation, Humans, Women, Human health sciences, Risk Assessment/methods, racism, Frax Adjustment, Hip, Evidence-Based Medicine, Osteoporotic Fractures/prevention & control, Men, United States/epidemiology, Intervention Thresholds, United States, Race and ethnicity, [SDV] Life Sciences [q-bio], Fracture probability, Osteoporosis, Female, Predicting Risk, Bone Density/physiology, Fracture Probability, FRAX adjustment, Osteoporotic Fractures, Algorithms

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    popularity
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    Top 10%
    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Top 10%
Average
Top 10%
Green
hybrid