ArticleOsteoporosis and sarcopenia2019
A comparison of 6 osteoporosis risk assessment tools among postmenopausal women in Kuala Lumpur, Malaysia.
Article in Osteoporosis and sarcopenia, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04862910 (Effects of Kinect-based Virtual Reality Training on Bone Mineral Density, Fracture Risk, Physical Performance and Quality of Life in Postmenopausal Women With Osteopenia), which is not on this map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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.
Effects of Kinect-based Virtual Reality Training on Bone Mineral Density, Fracture Risk, Physical Performance and Quality of Life in Postmenopausal Women With Osteopenia
Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Pooled it
- Gamified Exercise with Kinect: Can Kinect-Based Virtual Reality Training Improve Physical Performance and Quality of Life in Postmenopausal Women with Osteopenia? A Randomized Controlled Trial.Sensors (Basel, Switzerland) · 2024Trial
- Effects of kinect-based virtual reality training on bone mineral density and fracture risk in postmenopausal women with osteopenia: a randomized controlled trial.Scientific reports · 2024Trial
- Article
- An online non-radiographic osteoporosis prediction calculator constructed using interpretable machine learning.BioData mining · 2026Article
- Optimizing the Management of Menopause-Related Chronic Diseases in Rural Settings: A Closed-Loop "Screening-Prevention-Treatment" Model to Promote Healthy Aging - A Descriptive Study.International journal of women's health · 2026Article
- Prevalence of osteoporosis and associated factors among people aged 50 years and older in the Madhesh province of Nepal: a community-based cross-sectional study.Journal of health, population, and nutrition · 2024Article
- Application of machine learning algorithms to predict osteoporosis in postmenopausal women with type 2 diabetes mellitus.Journal of endocrinological investigation · 2023Article
- A Mini Review on Osteoporosis: From Biology to Pharmacological Management of Bone Loss.Journal of clinical medicine · 2022Review
- Osteoporosis Screening and Fracture Risk Assessment Tool: Its Scope and Role in General Clinical Practice.Cureus · 2022Review
- Screening and management of osteoporosis: a survey of knowledge, attitude and practice among primary care physicians in Malaysia.Archives of osteoporosis · 2022Article
- Review
- Awareness of osteoporosis risk assessment tools and screening recommendations among community pharmacists in Malaysia.International journal of clinical pharmacy · 2021Article
- Prevalence, risk assessment, and predictors of osteoporosis among chronic obstructive pulmonary disease patients.Journal of advanced pharmaceutical technology & researchArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 6 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo compare and assess the performance of 6 osteoporosis risk assessment tools for screening osteoporosis in Malaysian postmenopausal women.
methodsSix osteoporosis risk assessments tools (the Simple Calculated Osteoporosis Risk Estimation [SCORE], the Osteoporosis Risk Assessment Instrument, the Age Bulk One or Never Estrogen, the body weight, the Malaysian Osteoporosis Screening Tool, and the Osteoporosis Self-Assessment Tool for Asians) were used to screen postmenopausal women who had not been previously diagnosed with osteoporosis/osteopenia. These women also underwent a dual-energy X-ray absorptiometry (DXA) scan to confirm the absence or presence of osteoporosis.
resultsA total of 164/224 participants were recruited (response rate, 73.2%), of which only 150/164 (91.5%) completed their DXA scan. Sixteen participants (10.7%) were found to have osteoporosis, whilst 65/150 (43.3%) were found to have osteopenia. Using precision-recall curves, the recall of the tools ranged from 0.50 to 1.00, whilst precision ranged from 0.04 to 0.14. The area under the curve (AUC) ranged from 0.027 to 0.161. The SCORE had the best balance between recall (1.00), precision (0.04-0.12), and AUC (0.072-0.161).
conclusionsWe found that the SCORE had the best balance between recall, precision, and AUC among the 6 screening tools that were compared among Malaysian postmenopausal women.
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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.