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Comment
. 2023 Feb;34(2):417-418.
doi: 10.1007/s00198-022-06538-0. Epub 2022 Nov 29.

Estimation of osteoporosis prevalence among a population is reasonable only after the concerned reference bone mineral density database and cutpoint T-score have been validated

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Comment

Estimation of osteoporosis prevalence among a population is reasonable only after the concerned reference bone mineral density database and cutpoint T-score have been validated

Yì Xiáng J Wáng. Osteoporos Int. 2023 Feb.
No abstract available

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References

    1. Xiao PL, Cui AY, Hsu CJ, Peng R, Jiang N, Xu XH, Ma YG, Liu D, Lu HD (2022) Global, regional prevalence, and risk factors of osteoporosis according to the World Health Organization diagnostic criteria: a systematic review and meta-analysis. Osteoporos Int. https://doi.org/10.1007/s00198-022-06454-3
    1. Wáng YXJ, Xiao BH (2022) Estimations of bone mineral density defined osteoporosis prevalence and cutpoint T-score for defining osteoporosis among older Chinese population: a framework based on relative fragility fracture risks. Quant Imaging Med Surg 2022. https://doi.org/10.21037/qims-22-281
    1. Wáng YXJ, Xiao BH, Su Y, Leung JCS, Lam PMS, Kwok TCY (2022) Fine-tuning the cutpoint T-score as an epidemiological index with high specificity for osteoporosis: methodological considerations for the Chinese population. Quant Imaging Med Surg 12:882–885 - DOI
    1. Wáng YXJ (2022) Fragility fracture prevalence among elderly Chinese is no more than half of that of elderly Caucasians. Quant Imaging Med Surg 12:874–881 - DOI
    1. Chen P, Li Z, Hu Y (2016) Prevalence of osteoporosis in China: a meta-analysis and systematic review. BMC Public Health 16:1039 - DOI

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