Performance of Osteoporosis Self-Assessment Tool (OST) in Predicting Osteoporosis-A Review

Shaanthana Subramaniam, Soelaiman Ima-Nirwana, Kok-Yong Chin, Shaanthana Subramaniam, Soelaiman Ima-Nirwana, Kok-Yong Chin

Abstract

Bone health screening plays a vital role in the early diagnosis and treatment of osteoporosis to prevent fragility fractures among the elderly and high-risk individuals. Dual-energy X-ray absorptiometry (DXA), which detects bone mineral density, is the gold standard in diagnosing osteoporosis but is not suitable for screening. Therefore, many screening tools have been developed to identify individuals at risk for osteoporosis and prioritize them for DXA scanning. The Osteoporosis Self-assessment Tool (OST) is among the first tools established to predict osteoporosis in postmenopausal women. It can identify the population at risk for osteoporosis, but its performance varies according to ethnicity, gender, and age. Thus, these factors should be considered to ensure the optimal use of OST worldwide. Overall, OST is a simple and economical screening tool to predict osteoporosis and it can help to optimize the use of DXA.

Keywords: bone mineral density; dual-energy X-ray absorptiometry; mass screening; osteopenia; sensitivity; specificity.

Conflict of interest statement

The authors declare no conflict of interest.

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Flowchart of literature search.

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