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Active Not RecruitingNCT07518212

OST and MORES in Male Osteoporosis

Performance of the Osteoporosis Self-Assessment Tool (OST) and Male Osteoporosis Risk Estimate Score (MORES) in Predicting Osteoporosis in Turkish Men

Status
Active Not Recruiting
Phase
Study type
Observational
Enrollment
140 (estimated)
Sponsor
Kayseri City Hospital · Other Government
Sex
Male
Age
50 Years – 75 Years
Healthy volunteers
Not accepted

Summary

The aim of this study is to compare the Male Osteoporosis Risk Score and the Osteoporosis Self-Assessment Tool with the gold standard DEXA in determining the risk of osteoporosis in the lumbar and femoral regions in male individuals in the Turkish population, and to investigate their sensitivity and specificity in the first stage of screening for the detection of male 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. Male patients aged 50-75 who underwent osteoporosis screening with DEXA between January 2021 and January 2024 at the FTR outpatient clinics of Kayseri City Hospital will be included in this study. 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 total T scores for the femoral neck and femur) will be recorded. The OST score will be calculated using body weight and age parameters. The MORES score will be calculated based on age, weight, and hospital data, specifically the presence of chronic obstructive pulmonary disease (COPD) with ICD-10 code: J44 and its subgroups. 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's 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

Timeline

Start date
2026-02-04
Primary completion
2026-07-01
Completion
2026-09-15
First posted
2026-04-08
Last updated
2026-04-08

Locations

1 site across 1 country: Turkey (Türkiye)

Source: ClinicalTrials.gov record NCT07518212. Inclusion in this directory is not an endorsement.