NCT07402772

Female Osteoporosis

Performance of the Osteoporosis Self-Assessment Tool (OST) and Osteoporosis Risk Assessment Index (ORAI) in Predicting Osteoporosis in Postmenopausal Turkish Women

• Status: Not Yet Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 1,500 (estimated)
• Sponsor: Kayseri City Hospital · Other Government
• Sex: Female
• Age: 50 Years – 75 Years
• Healthy volunteers: Not accepted

Summary

The aim of this study is to compare the Osteoporosis Risk Assessment Tool and the Osteoporosis Self-Assessment Tool with the gold standard DEXA in determining the risk of osteoporosis in the lumbar and femoral regions in female individuals in the Turkish population, and to investigate their sensitivity and specificity in the first stage of screening for the detection of female osteoporosis.

Detailed description

This study will be conducted as a single-center, retrospective study at the Physical Medicine and Rehabilitation Clinic of Kayseri City Hospital between January 2024 and January 2025. This study will include female patients aged 50-75 who underwent osteoporosis screening with DEXA at the Kayseri City Hospital FTR outpatient clinics between January 2021 and January 2024. Patient data will be obtained retrospectively from the hospital database. Sociodemographic data (age, height, weight, body mass index) and current laboratory data (complete blood count, biochemical values (fasting blood sugar, BUN, creatinine, AST, ALT, calcium, phosphorus, alkaline phosphatase, total protein, albumin, parathyroid hormone, vitamin D3, T4, TSH), and DEXA values (bone mineral density, lumbar vertebrae, and femoral neck and total femur T scores) will be recorded. The OST score will be calculated using body weight and age parameters. The ORAI score will be calculated using age, weight, and estrogen use from hospital data. The data will be evaluated using the SPSS 24.0 software package. Descriptive statistical analyses will include calculations of mean, standard deviation, frequency, and percentages. In comparative statistics, the Student T-test or Mann Whitney U-test will be used to compare independent groups. Chi-square analysis will be applied to compare categorical variables. Pearson or Spearman correlation analyses will be applied to evaluate the relationship between variables. Both groups will be compared, and p\<0.05 will be considered statistically significant.

Conditions

• Female Osteoporosis

Timeline

• Start date: 2026-02-04
• Primary completion: 2026-02-04
• Completion: 2026-07-15
• First posted: 2026-02-11
• Last updated: 2026-02-11