Assessment of Osteoporosis Awareness and Osteoporosis Risk Level of Patients Admitted to a University Hospital

Kilit, Türkan Paşalı; Onbaşı, Kevser; Özyiğit, Filiz

doi:10.1016/j.jocd.2022.06.001

Cited by 2 publications

(2 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As a result, several clinical risk assessment tools have been developed to assess the risk of osteoporosis [ 6 ]. However, these tools tend to favor women more, especially postmenopausal women, and ignore men or are less effective at predicting which men are [ 7 , 8 ]. Although women have a higher risk of osteoporosis than men, the lifetime risk of a non-traumatic fracture after osteoporosis is estimated to be about 25% for a 60-year-old man [ 9 , 10 ].…”

Section: Introductionsmentioning

confidence: 99%

“…Compared with the traditional evaluation of osteoporosis, the IOF questionnaire is a more convenient, simple, controllable and authoritative method, which can effectively replace the dual-energy X-ray method for bone mineral density detection in the population, thus reflecting the risk of osteoporosis in the body and providing a basis for follow-up detection. And further evaluation by a primary care physician [ 8 , 16 ]. Therefore, this paper aims to construct a clinical prediction model for elderly people using 1-min osteoporosis risk test as an evaluation tool for osteoporosis and verify its accuracy and clinical practicability.…”

Section: Introductionsmentioning

confidence: 99%

See 1 more Smart Citation

Construction of a predictive model for osteoporosis risk in men: using the IOF 1-min osteoporosis test

Zhang,

Wang,

Han

et al. 2023

J Orthop Surg Res

View full text Add to dashboard Cite

Objective To construct a clinical prediction nomogram model using the 1-min IOF osteoporosis risk test as an evaluation tool for male osteoporosis. Methods The 1-min test results and the incidence of osteoporosis were collected from 354 patients in the osteoporotic clinic of our hospital. LASSO regression model and multi-factor logistic regression were used to analyze the risk factors of osteoporosis in patients, and the risk prediction model of osteoporosis was established. Verify with an additional 140 objects. Results We used logistic regression to construct a nomogram model. According to the model, the AUC value of the training set was 0.760 (0.704–0.817). The validation set has an AUC value of 0.806 (0.733–0.879). The test set AUC value is 0.714 (0.609–0.818). The calibration curve shows that its advantage is that the deviation correction curve of the nomogram model can maintain a good consistency with the ideal curve. In terms of clinical applicability, compared with the "total intervention" and "no intervention" schemes, the clinical net return rate of the nomogram model showed certain advantages. Conclusion Using the 1-min osteoporosis risk test provided by IOF, we built a male osteoporosis risk prediction model with good prediction effect, which can provide greater reference and help for clinicians.

show abstract