ReviewInternational journal of environmental research and public health2018
Performance of Osteoporosis Self-Assessment Tool (OST) in Predicting Osteoporosis-A Review.
Review in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06081764 (Investigation of the Effects of Physical Activity on Physical Fitness Parameters, Functional Fitness Age and Quality of Life in Women at Risk of Osteoporosis), which is not on this map. Cited by 28 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Investigation of the Effects of Physical Activity on Physical Fitness Parameters, Functional Fitness Age and Quality of Life in Women at Risk of Osteoporosis
Who cites it
28 citing papers in PubMed, 51 citations in OpenAlex.
- Approach to osteoporosis diagnosis and fracture risk management in primary care.Canadian family physician Medecin de famille canadien · 2026Review
- Osteoporosis evidence landscape to inform policy and practice: A comprehensive scoping review.Journal of family medicine and primary care · 2025Review
- Relationship Between Lumbar Spine Hounsfield Unit Values and Bone Mineral Density in Patients With Osteoarthritis Undergoing Total Hip Arthroplasty.Arthroplasty today · 2025Article
- Developing and validating a nomogram prediction model for osteoporosis risk in the UK biobank: a national prospective cohort.BMC public health · 2025Article
- Osteoporosis screening using X-ray assessment and osteoporosis self-assessment tool for Asians in hip surgery patients.Journal of bone and mineral metabolism · 2025Article
- Article
- Application of artificial intelligence in osteoporosis: a review.Frontiers in medicine · 2025Review
- Comparative Evaluation of Osteoporosis Clinical Risk Assessment Tools in Postmenopausal Women Aged 50-64.Journal of musculoskeletal & neuronal interactions · 2024Article
- Article
- Assessing the utility of osteoporosis self-assessment tool for Asians in patients undergoing hip surgery.Osteoporosis and sarcopenia · 2024Article
- Insights and implications of sexual dimorphism in osteoporosis.Bone research · 2024Review
- Investigating the impact of Wnt pathway-related genes on biomarker and diagnostic model development for osteoporosis in postmenopausal females.Scientific reports · 2024Article
- Evaluation of the Relationship between Osteoporosis Parameters in Plain Hip Radiography and DXA Results in 156 Patients at a Single Center in Turkey.Diagnostics (Basel, Switzerland) · 2023Article
- Development and Validation of a New Clinical Diagnostic Screening Model for Osteoporosis in Postmenopausal Women.Journal of bone metabolism · 2023Article
- Use of the Osteoporosis Self-Assessment Tool as a Screening Tool for Osteoporosis in Saudi Postmenopausal Women.Cureus · 2023Article
- Ireland DXA-FRAX may differ significantly and substantially to Web-FRAX.Archives of osteoporosis · 2023Article
- A Mini Review on Osteoporosis: From Biology to Pharmacological Management of Bone Loss.Journal of clinical medicine · 2022Review
- Article
- Evaluation of community-based screening tools for the early screening of osteoporosis in postmenopausal Vietnamese women.PloS one · 2022Article
- Prediction of osteoporosis from simple hip radiography using deep learning algorithm.Scientific reports · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.