ArticleOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA2012
Discriminative value of FRAX for fracture prediction in a cohort of Chinese postmenopausal women.
Article in Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 6 of them syntheses that pooled it.
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Who cites it
29 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- Pooled it
- Predictive value of machine learning on fracture risk in osteoporosis: a systematic review and meta-analysis.BMJ open · 2023Pooled it
- Prevalence of osteoporosis and incidence of related fractures in developed economies in the Asia Pacific region: a systematic review.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2023Pooled it
- Executive summary: Italian guidelines for diagnosis, risk stratification, and care continuity of fragility fractures 2021.Frontiers in endocrinology · 2023Pooled it
- Performance of predictive tools to identify individuals at risk of non-traumatic fracture: a systematic review, meta-analysis, and meta-regression.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2019Pooled it
- Performance of risk assessment instruments for predicting osteoporotic fracture risk: a systematic review.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2014Pooled it
- Cost-effectiveness thresholds for initiating osteoporosis treatment in postmenopausal women in China: a microsimulation analysis based on real-world data.Archives of osteoporosis · 2026Article
- Discriminatory Accuracy of Fracture Risk Assessment Tool in Asian Populations: A Systematic Review and Meta-Analysis.Journal of bone metabolism · 2024Article
- Enhancing osteoporosis management through risk assessment tools.Osteoporosis and sarcopenia · 2024Article
- FRAX-derived intervention and assessment thresholds for osteoporosis in ten Middle Eastern countries.Archives of osteoporosis · 2024Article
- Fracture risk prediction in old Chinese people-a narrative review.Archives of osteoporosis · 2023Review
- Reply on "Identification of people with high risk of osteoporosis in Asia".Osteoporosis and sarcopenia · 2023Article
- Development and validation of sex-specific hip fracture prediction models using electronic health records: a retrospective, population-based cohort study.EClinicalMedicine · 2023Article
- Development and validation of the Chinese osteoporosis screening algorithm (COSA) in identification of people with high risk of osteoporosis.Osteoporosis and sarcopenia · 2023Article
- Prediction Models for Osteoporotic Fractures Risk: A Systematic Review and Critical Appraisal.Aging and disease · 2022Review
- Low Predictive Value of FRAX Adjusted by Trabecular Bone Score for Osteoporotic Fractures in Korean Women: A Community-Based Cohort Study.Endocrinology and metabolism (Seoul, Korea) · 2020Article
- Predicting the intervention threshold for initiating osteoporosis treatment among postmenopausal women in China: a cost-effectiveness analysis based on real-world data.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2020Article
- The diversity of Fracture Risk Assessment Tool (FRAX)-based intervention thresholds in Asia.Osteoporosis and sarcopenia · 2019Review
- FRAX-based intervention thresholds in Asia: Now and future.Osteoporosis and sarcopenia · 2019Article
- Epidemiology of fractures in Armenia: development of a country-specific FRAX model and comparison to its surrogate.Archives of osteoporosis · 2017Article
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7 authors.
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No grant is acknowledged in the PubMed record.
Abstract
unlabelledWe followed 2,266 postmenopausal Chinese women for 4.5 years to determine which model best predicts osteoporotic fracture. A model that contains ethnic-specific risk factors, some of which reflect frailty, performed as well as or better than the well-established FRAX model.
introductionClinical risk assessment, with or without T-score, can predict fractures in Chinese postmenopausal women although it is unknown which combination of clinical risk factors is most effective. This prospective study sought to compare the accuracy for fracture prediction using various models including FRAX, our ethnic-specific clinical risk factors (CRF) and other simple models.
methodsThis study is part of the Hong Kong Osteoporosis Study. A total of 2,266 treatment naïve postmenopausal women underwent clinical risk factor and bone mineral density assessment. Subjects were followed up for outcome of major osteoporotic fracture and receiver operating characteristic (ROC) curves for different models were compared. The percentage of subjects in different quartiles of risk according to various models who actually fractured was also compared.
resultsThe mean age at baseline was 62.1 ± 8.5 years and mean follow-up time was 4.5 ± 2.8 years. A total of 106 new major osteoporotic fractures were reported, of which 21 were hip fractures. Ethnic-specific CRF with T-score performed better than FRAX with T-score (based on both Chinese normative and National Health and Nutrition Examination Survey (NHANES) databases) in terms of AUC comparison for prediction of major osteoporotic fracture. The two models were similar in hip fracture prediction. The ethnic-specific CRF model had a 10% higher sensitivity than FRAX at a specificity of 0.8 or above.
conclusionCRF related to frailty and differences in lifestyle between populations are likely to be important in fracture prediction. Further work is required to determine which and how CRF can be applied to develop a fracture prediction model in our population.
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