ArticleOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA2022
Major osteoporosis fracture prediction in type 2 diabetes: a derivation and comparison study.
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, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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13 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- Predictive value of machine learning on fracture risk in osteoporosis: a systematic review and meta-analysis.BMJ open · 2023Pooled it
- FGF21 is a novel biomarker to predict fragility fractures in patients with type 2 diabetes mellitus.Scientific reports · 2025Article
- Lower Limb Bone Mineral Density Reduction is Closely Relative With Diabetic Peripheral Neuropathy in the Postmenopausal Women and Men Over 50 Years Old With T2DM: A cross-Sectional, Controlled Study.Calcified tissue international · 2025Article
- New Evidence, Creative Insights, and Strategic Solutions: Advancing the Understanding and Practice of Diabetes Osteoporosis.Journal of diabetes · 2025Review
- The inhibition of PINK1/Drp1-mediated mitophagy by hyperglycemia leads to impaired osteoblastogenesis in diabetes.iScience · 2025Article
- Early Prediction Model for Osteoporotic Fracture in Type 2 Diabetes Patients: A Nomogram Approach Based on a Single-Center Retrospective Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025Article
- The use of the FRAX® tool and its adjustments in women living with diabetes: a cohort study in primary care in Brazil.Archives of osteoporosis · 2024Article
- Assessment of fracture risk in diabetic patients.Journal of diabetes and metabolic disorders · 2024Review
- Discriminatory Accuracy of Fracture Risk Assessment Tool in Asian Populations: A Systematic Review and Meta-Analysis.Journal of bone metabolism · 2024Article
- The comments on manuscript entitled 'Major osteoporosis fracture prediction in type 2 diabetes: a derivation and comparison study'.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2024Article
- Osteoporosis and diabetes - possible links and diagnostic difficulties.Reumatologia · 2023Review
- Nerve conduction velocity is independently associated with bone mineral density in type 2 diabetes mellitus.Frontiers in endocrinology · 2023Article
- Diabetes-Associated Risk and Population Burden of Comorbid Conditions Among Older Adults and Elderly Persons in India.Sage open agingArticle
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10 authors at 1 institution in 1 country.
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Abstract
The widely recommended fracture prediction tool FRAX was developed based on and for the general population. Although several adjusted FRAX methods were suggested for type 2 diabetes (T2DM), they still need to be evaluated in T2DM cohort.
introductionThis study was undertaken to develop a prediction model for Chinese diabetes fracture risk (CDFR) and compare its performance with those of FRAX.
methodsIn this retrospective cohort study, 1730 patients with T2DM were enrolled from 2009.08 to 2013.07. Major osteoporotic fractures (MOFs) during follow-up were collected from Electronic Health Records (EHRs) and telephone interviews. Multivariate Cox regression with backward stepwise selection was used to fit the model. The performances of the CDFR model, FRAX, and adjusted FRAX were compared in the aspects of discrimination and calibration.
results6.3% of participants experienced MOF during a median follow-up of 10 years. The final model (CDFR) included 8 predictors: age, gender, previous fracture, insulin use, diabetic peripheral neuropathy (DPN), total cholesterol, triglycerides, and apolipoprotein A. This model had a C statistic of 0.803 (95%CI 0.761-0.844) and calibration χ
conclusionThe CDFR model has good performance in 10-year MOF risk prediction in T2DM, especially in patients with insulin use or DPN. Future work is needed to validate our model in external cohort(s).
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